Anant Madabhushi
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Engineering Computer Science
Anant Madabhushi's Degrees
- PhD Biomedical Engineering Rutgers University
- Masters Electrical Engineering Rutgers University
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(Suggest an Edit or Addition)Anant Madabhushi's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Histopathological Image Analysis: A Review (2009) (1532)
- Applications of machine learning in drug discovery and development (2019) (909)
- Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (2016) (863)
- Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images (2016) (691)
- Image analysis and machine learning in digital pathology: Challenges and opportunities (2016) (607)
- Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology (2019) (555)
- Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge (2014) (490)
- Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks (2014) (460)
- Digital imaging in pathology: whole-slide imaging and beyond. (2013) (380)
- A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images (2016) (380)
- Assessment of algorithms for mitosis detection in breast cancer histopathology images (2014) (379)
- Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI (2017) (360)
- A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection (2013) (348)
- Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent (2017) (345)
- Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology (2008) (328)
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (2017) (312)
- Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions (2003) (306)
- Radiomics and radiogenomics in lung cancer: A review for the clinician. (2018) (297)
- Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features (2008) (292)
- Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features (2014) (292)
- AUTOMATED GRADING OF PROSTATE CANCER USING ARCHITECTURAL AND TEXTURAL IMAGE FEATURES (2007) (267)
- A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies (2012) (255)
- Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology (2010) (251)
- Identification of a microRNA panel for clear-cell kidney cancer. (2010) (234)
- A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises (2020) (229)
- An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery (2012) (216)
- Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI (2005) (210)
- Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology (2009) (210)
- Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings (2017) (195)
- Digital pathology image analysis: opportunities and challenges. (2009) (181)
- Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas. (2019) (180)
- Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology (2017) (167)
- HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides. (2019) (142)
- Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer (2018) (139)
- Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer (2019) (138)
- High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models (2010) (136)
- Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification (2011) (133)
- A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology (2006) (128)
- Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study. (2014) (126)
- Interplay between intensity standardization and inhomogeneity correction in MR image processing (2005) (122)
- Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information. (2011) (121)
- Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation (2012) (121)
- Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2‐weighted MR imagery (2012) (120)
- Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies (2008) (117)
- Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data (2011) (117)
- Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer (2019) (113)
- Gland Segmentation and Computerized Gleason Grading of Prostate Histology by Integrating Low-, High-level and Domain Specific Information (2007) (112)
- Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides (2013) (110)
- Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. (2016) (108)
- Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor (2016) (106)
- Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection (2014) (105)
- Digital pathology and computational image analysis in nephropathology (2020) (103)
- Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS (2013) (100)
- Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi‐institutional study (2017) (96)
- Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma (2018) (96)
- New methods of MR image intensity standardization via generalized scale (2005) (92)
- High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection (2018) (90)
- Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer (2012) (90)
- Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers (2018) (89)
- Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study (2016) (88)
- A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue (2018) (88)
- Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings (2018) (87)
- Predicting cancer outcomes with radiomics and artificial intelligence in radiology (2021) (85)
- Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study1 (2016) (84)
- Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images (2017) (79)
- Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer (2011) (78)
- Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings (2018) (77)
- Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection (2012) (75)
- Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer (2015) (75)
- Generalized scale: theory, algorithms, and application to image inhomogeneity correction (2004) (72)
- An active learning based classification strategy for the minority class problem: application to histopathology annotation (2011) (71)
- A Quantitative Histomorphometric Classifier (QuHbIC) Identifies Aggressive Versus Indolent p16-Positive Oropharyngeal Squamous Cell Carcinoma (2014) (69)
- Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains (2020) (69)
- Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma. (2019) (68)
- NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures (2014) (68)
- Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI (2016) (67)
- Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images (2016) (66)
- Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods (2011) (61)
- Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer (2020) (60)
- Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess (2011) (59)
- New methods of MR image intensity standardization via generalized scale. (2006) (58)
- Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI. (2011) (58)
- Co-Occurring Gland Angularity in Localized Subgraphs: Predicting Biochemical Recurrence in Intermediate-Risk Prostate Cancer Patients (2014) (58)
- A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images (2018) (57)
- Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology (2020) (57)
- Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX (2011) (57)
- Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images (2016) (54)
- Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group (2020) (54)
- Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI (2009) (53)
- A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS). (2009) (53)
- A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation (2011) (53)
- A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores (2016) (53)
- A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI (2008) (52)
- An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management. (2017) (52)
- Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study (2018) (51)
- Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis (2015) (50)
- Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer (2018) (50)
- Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays (2013) (49)
- Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging. (2016) (49)
- EM-based segmentation-driven color standardization of digitized histopathology (2013) (48)
- A high-throughput active contour scheme for segmentation of histopathological imagery (2011) (48)
- Decision support system for detection of diabetic retinopathy using smartphones (2013) (46)
- Explicit shape descriptors: Novel morphologic features for histopathology classification (2013) (45)
- An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival (2017) (45)
- A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation (2010) (44)
- Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery (2011) (44)
- Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features. (2019) (43)
- A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers (2017) (43)
- Machine Learning Prediction of Response to Cardiac Resynchronization Therapy. (2019) (43)
- A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI (2018) (43)
- High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts (2012) (43)
- Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy (2010) (42)
- Quality control stress test for deep learning-based diagnostic model in digital pathology (2021) (42)
- Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach (2006) (42)
- Harnessing non-destructive 3D pathology (2021) (42)
- Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays (2013) (42)
- Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings (2018) (42)
- An integrated segmentation and shape‐based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT (2017) (41)
- Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma (2020) (41)
- Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications. (2018) (41)
- CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction. (2020) (41)
- Statistical shape model for manifold regularization: Gleason grading of prostate histology (2013) (39)
- Radiomic Features of Primary Rectal Cancers on Baseline T2‐Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study (2020) (39)
- Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets (2013) (38)
- Towards Improved Cancer Diagnosis and Prognosis Using Analysis of Gene Expression Data and Computer Aided Imaging (2009) (38)
- Integrated diagnostics: a conceptual framework with examples (2010) (37)
- A boosted distance metric: application to content based image retrieval and classification of digitized histopathology (2009) (37)
- Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer (2011) (37)
- Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings. (2016) (35)
- Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists. (2019) (35)
- Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning. (2012) (35)
- Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with Oncotype DX assay (2009) (35)
- A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study (2020) (34)
- Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer (2005) (34)
- Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade (2020) (34)
- Using head movement to recognize activity (2000) (33)
- An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas (2011) (33)
- A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology (2009) (33)
- Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays (2015) (32)
- Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology (2011) (32)
- HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments (2011) (31)
- Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation (2010) (31)
- CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction. (2020) (30)
- Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI (2011) (30)
- A method for medulloblastoma tumor differentiation based on convolutional neural networks and transfer learning (2015) (30)
- Novel PCA‐VIP scheme for ranking MRI protocols and identifying computer‐extracted MRI measurements associated with central gland and peripheral zone prostate tumors (2015) (30)
- Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer (2016) (29)
- Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei (2012) (29)
- Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI (2014) (29)
- A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS) (2007) (29)
- A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI (2003) (29)
- Pattern Recognition in Histopathological Images: An ICPR 2010 Contest (2010) (28)
- Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma (2015) (28)
- Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study (2020) (27)
- Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings (2018) (27)
- Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer (2020) (27)
- Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI (2019) (26)
- Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies (2006) (26)
- Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology (2016) (26)
- Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study (2019) (26)
- Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study (2018) (26)
- Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group (2020) (26)
- Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging. (2013) (26)
- Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI (2011) (26)
- Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces (2015) (25)
- Evaluating feature selection strategies for high dimensional, small sample size datasets (2011) (25)
- Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors (2013) (25)
- Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data (2011) (25)
- Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction (2006) (25)
- Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric (2013) (25)
- Class-specific weighting for Markov random field estimation: Application to medical image segmentation (2012) (25)
- A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides (2012) (24)
- Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers (2020) (24)
- Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning (2010) (24)
- Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI (2006) (24)
- Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography (2018) (23)
- MRQy: An Open-Source Tool for Quality Control of MR Imaging Data (2020) (23)
- Image filtering via generalized scale (2008) (23)
- Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study. (2020) (23)
- Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI (2014) (23)
- Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study (2017) (23)
- Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology (2011) (23)
- Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models (2011) (22)
- Automatic boundary extraction of ultrasonic breast lesions (2002) (22)
- A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models (2008) (22)
- Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes. (2012) (22)
- Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI (2018) (22)
- Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection (2007) (22)
- Detection of Prostate Cancer from Whole-Mount Histology Images Using Markov Random Fields (2008) (22)
- High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies (2010) (22)
- Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging (2006) (21)
- Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI (2011) (21)
- Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas (2018) (21)
- Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients (2020) (21)
- Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays (2009) (20)
- Repeatability of radiomics and machine learning for DWI: Short‐term repeatability study of 112 patients with prostate cancer (2019) (20)
- Segmentation and classification of triple negative breast cancers using DCE-MRI (2009) (20)
- An automated computational image analysis pipeline for histological grading of cardiac allograft rejection (2021) (20)
- Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features (2017) (20)
- Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings (2019) (20)
- CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor. (2020) (20)
- Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation (2017) (20)
- Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in Glioblastoma. (2020) (20)
- Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework (2014) (20)
- An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets (2007) (19)
- Manifold learning with graph-based features for identifying extent of lymphocytic infiltration from high grade , HER 2 + breast cancer histology (2008) (19)
- A COMBINED FEATURE ENSEMBLE BASED MUTUAL INFORMATION SCHEME FOR ROBUST INTER-MODAL, INTER-PROTOCOL IMAGE REGISTRATION (2007) (19)
- Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data (2012) (19)
- Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy (2008) (19)
- Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI (2017) (19)
- A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation (2015) (18)
- Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data (2009) (18)
- Probabilistic pairwise Markov models: application to prostate cancer detection (2009) (18)
- A texture-based classifier to discriminate anaplastic from non-anaplastic medulloblastoma (2011) (18)
- Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study (2020) (18)
- Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes (2020) (18)
- Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies (2020) (18)
- Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI (2014) (18)
- Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images (2016) (18)
- A quantitative exploration of efficacy of gland morphology in prostate cancer grading (2007) (17)
- Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI (2011) (17)
- Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes (2017) (17)
- A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study (2020) (17)
- Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images (2016) (17)
- A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images (2018) (17)
- Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model. (2015) (17)
- Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases (2017) (16)
- RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer (2018) (16)
- Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer (2014) (16)
- Brief‐exposure to preoperative bevacizumab reveals a TGF‐β signature predictive of response in HER2‐negative breast cancers (2016) (16)
- Predicting classifier performance with a small training set: Applications to computer-aided diagnosis and prognosis (2010) (16)
- T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology (2020) (16)
- Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation (2021) (16)
- Deformable Landmark-Free Active Appearance Models : Application to Segmentation of Multi-Institutional Prostate MRI Data (2012) (16)
- Advanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection (2018) (16)
- Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model. (2014) (16)
- Advances in the computational and molecular understanding of the prostate cancer cell nucleus (2018) (15)
- Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings (2017) (15)
- Identifying MRI Markers Associated with Early Response following Laser Ablation for Neurological Disorders: Preliminary Findings (2014) (15)
- Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings (2019) (15)
- The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community (2011) (15)
- Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis (2020) (15)
- Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer (2018) (15)
- Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images (2019) (15)
- Optimization of Complex Cancer Morphology Detection Using the SIVQ Pattern Recognition Algorithm (2011) (15)
- A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI (2020) (15)
- Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading (2011) (14)
- Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification (2012) (14)
- Deep Learning Tissue Segmentation in Cardiac Histopathology Images (2017) (14)
- Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer (2022) (14)
- Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis (2021) (14)
- Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study. (2020) (14)
- Computer Extracted Features from Initial H&E Tissue Biopsies Predict Disease Progression for Prostate Cancer Patients on Active Surveillance (2020) (13)
- Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings (2017) (13)
- Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma (2017) (13)
- Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings (2011) (13)
- COLLINARUS: collection of image-derived non-linear attributes for registration using splines (2009) (13)
- Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study (2019) (13)
- A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology (2011) (13)
- Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer (2014) (13)
- Computer-extracted features relating to spatial arrangement of tumor infiltrating lymphocytes to predict response to nivolumab in non-small cell lung cancer (NSCLC). (2018) (13)
- Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis (2020) (12)
- Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps (2020) (12)
- Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability (2020) (12)
- Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab (2022) (12)
- Prostatome: a combined anatomical and disease based MRI atlas of the prostate. (2014) (12)
- Deep-learning approaches for Gleason grading of prostate biopsies. (2020) (12)
- Evaluation of effects of JPEG2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology (2010) (12)
- A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery (2008) (12)
- Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate (2011) (12)
- An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study (2021) (12)
- A Class Balanced Active Learning Scheme that Accounts for Minority Class Problems : Applications to Histopathology (2009) (12)
- Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging. (2015) (12)
- Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions (2013) (12)
- Artificial intelligence applied to breast pathology (2021) (12)
- Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer (2008) (12)
- Machine Learning–Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation (2021) (11)
- Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study (2020) (11)
- Segmenting multiple overlapping objects via a hybrid active contour model incorporating shape priors: applications to digital pathology (2011) (11)
- Supervised multi-view canonical correlation analysis: fused multimodal prediction of disease diagnosis and prognosis (2014) (11)
- Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT (2017) (11)
- Image microarrays (IMA): Digital pathology's missing tool (2011) (11)
- Computational imaging reveals shape differences between normal and malignant prostates on MRI (2017) (11)
- Computer-aided prognosis: Predicting patient and disease outcome via multi-modal image analysis (2010) (11)
- Quick Annotator: an open‐source digital pathology based rapid image annotation tool (2021) (11)
- Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer (2015) (11)
- Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy (2013) (11)
- Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy (2014) (11)
- Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors (2022) (11)
- Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study (2020) (11)
- Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. (2021) (10)
- Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation (2011) (10)
- Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer (2021) (10)
- Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2. (2021) (10)
- Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings. (2018) (10)
- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis (2010) (10)
- Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds (2012) (10)
- Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net (2019) (10)
- Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies (2011) (10)
- Statistical 3D prostate imaging atlas construction via anatomically constrained registration (2013) (10)
- Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials (2020) (10)
- Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival (2019) (9)
- Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI (2008) (9)
- Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer. (2018) (9)
- Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma: A multi-site validation study. (2021) (9)
- A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT (2021) (9)
- Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures (2011) (9)
- Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study (2021) (9)
- Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation (2013) (9)
- Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings (2019) (9)
- Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis (2017) (9)
- Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features (2017) (9)
- Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data (2016) (9)
- A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging (2008) (9)
- Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading (2011) (9)
- Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer (2013) (8)
- Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools (2018) (8)
- A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study (2019) (8)
- Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging (2019) (8)
- Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings (2016) (8)
- Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach (2013) (8)
- Image-based risk score to predict recurrence of ER+ breast cancer in ECOG-ACRIN Cancer Research Group E2197. (2018) (8)
- Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) (2019) (8)
- Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI (2011) (8)
- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data (2010) (8)
- A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer (2010) (8)
- Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine (2021) (8)
- The state of the art for artificial intelligence in lung digital pathology (2022) (8)
- Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer (2013) (8)
- Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images (2016) (8)
- Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE (2016) (7)
- AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments (2016) (7)
- Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations (2011) (7)
- Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS). (2018) (7)
- Changes in Computer Extracted Features of Vessel Tortuosity on CT Scans Post-Treatment in Responders Compared to Non-Responders for Non–Small Cell Lung Cancer on Immunotherapy (2017) (7)
- Multi-attribute combined mutual information (MACMI): An image registration framework for leveraging multiple data channels (2010) (7)
- Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA) (2008) (7)
- CADOnc ⓒ: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI (2011) (7)
- Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response (2018) (7)
- Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology. (2020) (7)
- Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications (2022) (6)
- WERITAS: weighted ensemble of regional image textures for ASM segmentation (2009) (6)
- Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology (2011) (6)
- Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology (2011) (6)
- Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities (2022) (6)
- Radiomic Features Associated With HPV Status on Pretreatment Computed Tomography in Oropharyngeal Squamous Cell Carcinoma Inform Clinical Prognosis (2021) (6)
- Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials (2020) (6)
- Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes (2012) (6)
- Segmentation of nodular medulloblastoma using Random Walker and Hierarchical Normalized Cuts (2011) (6)
- Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2‐Weighted Magnetic Resonance Imaging Acquisition Parameters (2021) (6)
- Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management (2014) (6)
- Automated gleason grading on prostate biopsy slides by statistical representations of homology profile (2020) (6)
- An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer (2021) (6)
- Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells (2017) (5)
- Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding (2009) (5)
- Evolution of radiomic features on serial CT scans as an imaging based biomarker for evaluating response in patients with non-small cell lung cancer treated with nivolumab. (2017) (5)
- A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations (2013) (5)
- A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI (2014) (5)
- Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology (2013) (5)
- A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer (2021) (5)
- Generalized scale: Theory, algorithms, and applications in image analysis (2004) (5)
- Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI (2011) (5)
- Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology (2011) (5)
- A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders (2014) (5)
- Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome (2022) (5)
- Distinguishing Molecular Subtypes of Breast Cancer Based on Computer-aided Diagnosis of DCE-MRI (2009) (5)
- A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology (2013) (5)
- Connecting Markov random fields and active contour models: application to gland segmentation and classification (2017) (5)
- A note on the stability and discriminability of graph-based features for classification problems in digital pathology (2015) (5)
- Machine Vision and Machine Learning in Digital Pathology (2014) (4)
- Evaluation of radiomic features on baseline CT scan to predict clinical benefit for pemetrexed based chemotherapy in metastatic lung adenocarcinoma. (2016) (4)
- Changes in computer extracted features of vessel tortuosity on CT scans post-treatment in responders compared to non-responders for non-small cell lung cancer on immunotherapy. (2017) (4)
- Patient‐specific pharmacokinetic parameter estimation on dynamic contrast‐enhanced MRI of prostate: Preliminary evaluation of a novel AIF‐free estimation method (2016) (4)
- Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation (2014) (4)
- Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study (2021) (4)
- Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy (2020) (4)
- Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI (2010) (4)
- Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI. (2019) (4)
- Multi-modality registration via multi-scale textural and spectral embedding representations (2016) (4)
- Supervised MultiView Canonical Correlation Analysis : Fused Multimodal Prediction of Disease Diagnosis and Prognosis (2014) (4)
- Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer (2020) (3)
- Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation (2022) (3)
- 14th European Congress on Digital Pathology (2019) (3)
- Novel imaging biomarkers predict progression-free survival in stage 3 NSCLC treated with chemoradiation and durvalumab. (2021) (3)
- Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores (2020) (3)
- A comparative analysis of sensitivity of convolutional neural networks for histopathology image classification in breast cancer (2018) (3)
- Generalized scale-based image filtering (2005) (3)
- Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings. (2021) (3)
- Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule (2019) (3)
- Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI (2013) (3)
- An integrated framework for analyzing three-dimensional shape differences: Evaluating prostate morphometry (2010) (3)
- Computerized textural analysis of lung CT to enable quantification of tumor infiltrating lymphocytes in NSCLC. (2016) (3)
- RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction (2017) (3)
- Computerized Histologic Image-Based Risk Score (IbRiS) Classifier for ER+ Breast Cancer. (2009) (3)
- Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation (2020) (3)
- Characterization of Ultra-Widefield Angiographic Vascular Features in Diabetic Retinopathy with Automated Severity Classification (2021) (3)
- Optimal feature combination for automated segmentation of prostatic adenocarcinoma from high resolution MRI (2003) (3)
- Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient (2013) (3)
- Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs (2011) (3)
- The interplay between intensity standardization and field inhomogeneity correction in MR image processing (2003) (3)
- Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data (2011) (3)
- Multiscale multimodal fusion of histological and MRI volumes for characterization of lung inflammation (2013) (3)
- Computer‐extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumors (2022) (3)
- Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies (2017) (3)
- Computational features of TIL architecture are differentially prognostic of uterine cancer between African and Caucasian American women. (2021) (3)
- 14th European Congress on Digital Pathology (2019) (3)
- Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis (2012) (3)
- Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI (2014) (3)
- 14th European Congress on Digital Pathology (2019) (3)
- P2.04-17 Pre-Therapy Radiomic Features Can Distinguish Hyperprogression from Other Response Patterns to PD1/PD-L1 Inhibitors in NSCLC (2018) (2)
- Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings (2022) (2)
- Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework (2012) (2)
- Computerized Histologic Image Based Risk Predictor (CHIRP): Identifying Disease Aggressiveness Using Sub-visual Image Cues from Image Data (2016) (2)
- Proceedings of the 2010 international conference on Prostate cancer imaging: computer-aided diagnosis, prognosis, and intervention (2010) (2)
- Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways (2019) (2)
- Computer extracted measurements of vessel tortuosity on baseline CT scans to predict response to nivolumab immunotherapy for non-small cell lung cancer. (2017) (2)
- Innovations in risk-stratification and treatment of Veterans with oropharynx cancer; roadmap of the 2019 Field Based Meeting. (2020) (2)
- Computerized histomorphometric features of glandular architecture predict risk of biochemical recurrence following radical prostatectomy: A multisite study. (2019) (2)
- Prostate cancer risk stratification via non-destructive 3D pathology with annotation-free gland segmentation and analysis (2021) (2)
- NIMG-69. DISTINGUISHING RADIATION NECROSIS FROM BRAIN TUMOR RECURRENCE ON ROUTINE MRI: A PRELIMINARY HUMAN-MACHINE READER COMPARISON STUDY (2016) (2)
- Computerized features of spatial arrangement of tumor-infiltrating lymphocytes from H&E images predicts survival and response to checkpoint inhibitors in gynecologic cancers. (2020) (2)
- Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis (2014) (2)
- Oropharyngeal cancer outcomes correlate with p16 status, multinucleation and immune infiltration (2022) (2)
- Impact of p16 Status and Anatomical Site in Anti-PD-1 Immunotherapy-Treated Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma Patients (2021) (2)
- Abstract 4352: Prediction of prostate cancer progression with biomarkers and tissue morphometry changes (2015) (2)
- MICRORNA EXPRESSION PROFILE IN CLEAR-CELL KIDNEY CANCER (2008) (2)
- Computer-extracted stromal features of African-Americans versus Caucasians from H&E slides and impact on prognosis of biochemical recurrence. (2018) (2)
- Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings (2010) (2)
- Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI (2019) (2)
- MP60-04 QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION (2015) (2)
- Abstract 4349: Cancer histologic and cell nucleus architecture differentiate prostate cancer Gleason patterns 3 from 4 (2015) (2)
- Histomorphometry of digital pathology: Case study in prostate cancer (2014) (2)
- Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings (2015) (2)
- A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans (2021) (2)
- Linked Statistical Shape Models for multi-modal segmentation of the prostate on MRI-CT for radiotherapy planning (2011) (2)
- Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score (2019) (2)
- MA 17.11 Prediction of Response to Trimodality Therapy Using CT-Derived Radiomic Features in Stage III Non-Small Cell Lung Cancer (NSCLC) (2017) (2)
- Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study. (2022) (2)
- Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results (2020) (2)
- Radiomics risk score (RRS) on CT to predict survival and response to CDK 4/6 inhibitors in hormone receptor (HR) positive metastatic breast cancer (MBC). (2020) (2)
- Ra-052. Computerized Image Analysis Of Texture Descriptors In Multi-parametric Mri To Distinguish Recurrent Glioblastoma Multiforme From Radiation Necrosis (2013) (2)
- Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma (2021) (2)
- A statistical deformation model based regularizer for registration of histology and MRI (2014) (2)
- Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus‐associated oropharyngeal squamous cell carcinoma (2022) (2)
- Generalized ball-scale: theory, algorithms, and application to image inhomogeneity correction (2005) (2)
- Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens is predictive of early biochemical recurrence in prostate cancer patients (2018) (2)
- 37 Quantitative Lung Airway Morphology (QuaLM) features on chest CT scans are associated with response and overall survival in lung cancer patients treated with checkpoint inhibitors (2021) (1)
- Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images (2022) (1)
- Computational features of tumor-infiltrating lymphocyte architecture of residual disease after chemotherapy on H&E images as prognostic of overall and disease-free survival for triple-negative breast cancer. (2021) (1)
- Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer (2012) (1)
- Poster Session (2011) (1)
- Advances in computerized image analysis methods on breast ultrasound (2005) (1)
- A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer (2020) (1)
- Computerized textural analysis of DCE-MRI to enable identification of HER2-enriched breast cancers. (2016) (1)
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE: Introduction (2013) (1)
- Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes. (2022) (1)
- Special Section Guest Editorial: Digital Pathology (2017) (1)
- Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer (2022) (1)
- P68.02 Computer Extracted Morphology Features of Tumor Nuclei Predict Response to Chemotherapy and Prognostic of OS in Small Cell Lung Cancer (2021) (1)
- Abstract PS4-45: Computerized image analysis of nuclear morphological features reveals differences in phenotype and prognosis of disease free survival of early stage ER+ breast cancers for South Asian and North American women (2021) (1)
- MP35-09 COMBINATION OF NF-κB/P65 NUCLEAR LOCALIZATION AND GLAND MORPHOLOGIC FEATURES IS PREDICTIVE OF BIOCHEMICAL RECURRENCE (2018) (1)
- A prostate MRI atlas of biochemical failures following cancer treatment (2014) (1)
- Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer (2019) (1)
- MA25.02 Arrangement and Architecture of Tumor-Infiltrating Lymphocyte on H&E Slides Predict OS in Nivolumab Treated Non-Small Cell Lung Cancer (2019) (1)
- NIMG-03. PREDICTING IDH MUTATION STATUS ON ROUTINE TREATMENT-NAÏVE MRI USING RADIOGENOMIC FEATURES FROM PERITUMORAL BRAIN PARENCHYMA (2016) (1)
- NIMG-26. RADIOMIC FEATURES OF GLIOBLASTOMA ON PRE-TREATMENT GD-T1W MRI ARE PREDICTIVE OF RESPONSE TO CHEMO-RADIATION THERAPY AND ASSOCIATED WITH AKT AND APOPTOSIS PATHWAYS (2018) (1)
- Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning (2011) (1)
- Combination of tumor multinucleation and spatial arrangement of tumor-infiltrating lymphocytes to predict overall survival in oropharyngeal squamous cell carcinoma: A multisite study. (2020) (1)
- Abstract PO-017: Annotation-free 3D gland segmentation with generative image-sequence translation for prostate cancer risk assessment (2021) (1)
- SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach (2021) (1)
- MP28-04 CORRELATION BETWEEN MRI PHENOTYPES AND A GENOMIC CLASSIFIER OF PROSTATE CANCER (2019) (1)
- MA11.03 Interaction of Tumor Infiltrating Lymphocytes and Cancer Nuclei Predicts Response to Nivolumab in Non-Small Cell Lung Cancer (NSCLC) (2018) (1)
- ATPS-67MORPHOLOGIC HETEROGENEITY AT A PIXEL-LEVEL CAPTURED VIA ENTROPY OF GRADIENT ORIENTATIONS ON T1-POST CONTRAST MRI ENABLES DISCRIMINATION OF TUMOR RECURRENCE FROM CEREBRAL RADIATION NECROSIS (2015) (1)
- The revolving door for AI and pathologists-docendo discimus? (2019) (1)
- NIMG-75. FEATURES OF LOCAL GRADIENT DISORDER ON MRI THAT DISTINGUISH RADIATION NECROSIS AND TUMOR RECURRENCE POST-RADIOTHERAPY ARE ASSOCIATED WITH ZONAL NECROSIS, VESSEL WALL THICKENING, HYALINIZATION AND DEMYELINATION: A PRELIMINARY STUDY IN BRAIN TUMORS (2016) (1)
- NIMG-67COMPUTER EXTRACTED TEXTURE DESCRIPTORS FROM DIFFERENT TISSUE COMPARTMENTS WITHIN THE TUMOR HABITAT ON TREATMENT-NAÏVE MRI PREDICT CLINICAL SURVIVAL IN GLIOBLASTOMA PATIENTS. (2015) (1)
- NI-75QUANTITATIVE TEXTURE DESCRIPTORS ON BASELINE-MRI CAN PREDICT PATIENT SURVIVAL IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME PATIENTS. (2014) (1)
- A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study. (2022) (1)
- NI-76COMPUTER EXTRACTED ORIENTED TEXTURE FEATURES ON T1-GADOLINIUM MRI FOR DISTINGUISHING RADIATION NECROSIS FROM RECURRENT BRAIN TUMORS. (2014) (1)
- Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging (2002) (1)
- Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data (2012) (1)
- A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images (2017) (1)
- Density patterns of tumor-infiltrating lymphocytes and association with objective response to nivolumab in patients with lung adenocarcinoma from CheckMate 057. (2022) (1)
- Computer extracted nuclear features from Feulgen and H&E images to predict biochemical recurrence in prostate cancer patients following radical prostatectomy. (2016) (1)
- MP02-17 COMPUTER EXTRACTED NUCLEAR FEATURES FROM FEULGEN AND H&E IMAGES PREDICT BIOCHEMICAL RECURRENCE IN PROSTATE CANCER PATIENTS FOLLOWING RADICAL PROSTATECTOMY (2016) (1)
- Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation (2021) (1)
- Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers (2022) (1)
- Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy. (2019) (1)
- Special issue on computational pathology: An overview (2021) (1)
- P1.04-25 CT Based Vessel Tortuosity Features Are Prognostic of Overall Survival and Predictive of Immunotherapy Response in NSCLC Patients (2019) (1)
- Abstract 16796: Machine Learning-Based Hepatic Fat Assessment in Low-Dose Coronary Artery Calcium Scans is Correlated With Human Reader Assessment (2020) (1)
- Pathology Image Informatics Platform for visualization, analysis and management (2015) (1)
- Front Matter: Volume 8676 (2013) (1)
- Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study (2022) (1)
- Use of quantitative histomorphometrics to classify disease progression in HPV-positive squamous cell carcinoma. (2012) (1)
- Combination of quantitative features from H&E biopsies and CT scans predicts response to chemotherapy and overall survival in small cell lung cancer (SCLC). (2021) (1)
- Medical Imaging 2013: Digital Pathology (2013) (1)
- MP1-15 QUANTITATIVE HISTOMORPHOMETRIC ANALYSIS OF PROSTATE BIOPSY IMAGES PREDICT FAVORABLE OUTCOME IN ACTIVE SURVEILLANCE PATIENTS (2015) (1)
- Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI (2017) (1)
- Non‐invasive theranostic to predict and assess response to atherosclerotic drugs (2013) (1)
- MP12-17 COMPUTER EXTRACTED FEATURES OF NUCLEI SHAPE, ARCHITECTURE AND ORIENTATION FROM INITIAL H&E TISSUE BIOPSIES PREDICT DISEASE PROGRESSION FOR PROSTATE CANCER PATIENTS ON ACTIVE SURVEILLANCE (2018) (1)
- With one eye on the future. (2022) (1)
- Predicting neo-adjuvant chemotherapy response from pre-treatment breast MRI using machine learning and HER2 status. (2018) (1)
- MEDU-48. MRI TEXTURAL FEATURES CAN DIFFERENTIATE PEDIATRIC POSTERIOR FOSSA TUMORS (2017) (1)
- Artificial Intelligence in Surveillance of Barrett's Esophagus (2021) (1)
- The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group (2021) (1)
- Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma (2019) (1)
- Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings (2021) (1)
- Abstract P5-06-16: Histomorphometric measure of disorder of collagen fiber orientation is associated with risk of recurrence in ER+ breast cancers in ECOG-ACRIN E2197 and TCGA-BRCA (2020) (1)
- Abstract P5-13-27: Post-treatment vascularity and vessel shape are associated with survival and response to CDK4/6 inhibitors in hormone receptor-positive metastatic breast cancer (MBC) (2022) (1)
- Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study (2019) (1)
- PATHOLOGY INFORMATICS SUMMIT 2018 (2018) (1)
- Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers (2016) (0)
- Novel Fractal-based Sub-RPE Compartment OCT Radiomics Biomarkers are Associated with Subfoveal Geographic Atrophy in Dry AMD. (2023) (0)
- Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study. (2019) (0)
- Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes (2017) (0)
- Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology (2020) (0)
- Tissue mechanics during acupuncture and manual therapies (2007) (0)
- Correction to: Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (2019) (0)
- Automated Detection and Classification of Tumors from Digitized Histological Tissue Specimens (2019) (0)
- Abstracts (2009) (0)
- Abstract P4-02-06: Intratumoral and peritumoral MRI signatures of HER2-enriched subtype also predict pathological response to neoadjuvant chemotherapy in HER2+ breast cancers (2018) (0)
- Digital Pathology (2019) (0)
- CADOnc : A Computerized Decision Support System for Quantifying Radiation Therapy Changes in the Prostate via Multi-Parametric MRI (2010) (0)
- Abstract 4061: Computer-assisted Gleason grading of prostate cancer: Two novel approaches using nuclear shape and texture feature to classify pathologic Gleason grade patterns 3 and 4 (2012) (0)
- P2.04-16 Novel CT Based Radiomic Features are Prognostic and Predictive of Benefit of Chemoimmunotherapy in Advanced Non-Squamous NSCLC (2019) (0)
- MP08-16 COMBINATION OF NUCLEAR ORIENTATION AND SHAPE FEATURES IN H&E STAINED IMAGES DISTINGUISH CONSENSUS LOW AND HIGH GRADE BLADDER CANCER (2018) (0)
- NIMG-51. IMPACT ON REMOTE FUNCTIONAL AREAS DUE TO TUMOR MASS EFFECT IS PROGNOSTIC OF OVERALL SURVIVAL IN GLIOBLASTOMA MULTIFORME (2016) (0)
- P3.16-10 Radiomic Features on CT are Prognostic of Recurrence as well as Predictive of Added Benefit of Adjuvant Chemotherapy in ES-NSCLC (2018) (0)
- Abstract 1080: Targeting the PI3K-Akt and NF-κB pathways as a combination therapy in blocking prostate cancer progression (2017) (0)
- 857 - Machine Learning Analysis of the Whole Rectal Wall on Post-Neoadjuvant Chemoradiation MRI may offer Accurate Identifiction of Rectal Cancer Patients Needing more Aggressive Follow-Up or Surgery (2018) (0)
- MA03.04 A Gender-Specific Radiomics Models for Predicting Recurrence in Early Stage (Stage I, II) Non-Small Cell Lung Cancer (ES-NSCLC) Patients (2021) (0)
- 73 Delta-radiomics predicts response and overall survival in advanced non-small cell lung cancer patients treated with durvalumab (2022) (0)
- Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma (2018) (0)
- Deep Learning-assisted 3D Segmentation and Analysis of Prostate Glands for Cancer Risk Stratification (2022) (0)
- EPID-33. GENDER-SPECIFIC PROBABILISTIC ATLASES OF GLIOBLASTOMA REVEAL IMPACT OF TUMOR LOCATION ON PROGRESSION FREE SURVIVAL (2019) (0)
- Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study (2022) (0)
- Quantitative Study of changes in multi-parametric MRI markers post-laser interstitial ablation therapy (LITT) for epilespy (2012) (0)
- Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation (2019) (0)
- Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer (2023) (0)
- Abstract PS5-42: Change in intra-lesion heterogeneity on CT predicts long-term survival following treatment with CDK4/6 inhibitors in hormone receptor-positive metastatic breast cancer (MBC) (2021) (0)
- Mo1071 CANCER NUCLEAR FEATURES EXTRACTED FROM PATHOLOGY IMAGES IDENTIFY STAGE 2 COLON CANCERS THAT RECUR (2020) (0)
- OCT-Derived Radiomic Features Predict Anti–VEGF Response and Durability in Neovascular Age-Related Macular Degeneration (2022) (0)
- Radiomics Driven Image Analysis and Coregistration Scheme to Identify DCE MRI Markers for Microvascular Density (2012) (0)
- Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings (2019) (0)
- Abstract 5427: Improving non-small cell lung cancer segmentation on a challenging dataset (2023) (0)
- Applications of machine learning in drug discovery and development (2019) (0)
- Editorial Comment. (2016) (0)
- RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment (2022) (0)
- 829 Spatial arrangement and density of tumor-infiltrating lymphocytes (TILs) predicts response to immunotherapy in head and neck squamous cell carcinoma patients (2021) (0)
- Computerized Lesion Segmentation on DCE-MRI using Active Contours and Spectral Embedding . (2010) (0)
- PROSTATE CANCER AGGRESSIVENESS IS MEDIATED BY AKT AND NF‐&kgr;B SIGNALING PATHWAYS: A SYSTEMS BIOLOGY APPROACH: PD33‐02 (2017) (0)
- Computer extracted features of nuclear architecture in H&E sections to predict disease recurrence in oropharyngeal squamous cell carcinoma patients. (2017) (0)
- Computerized quantitative data integration of multi-protocol MRI for identification of high grade prostate cancer in vivo (2010) (0)
- Impact of Insurance and Socioeconomic Status on HPV-related Oropharyngeal Cancer (2020) (0)
- Abstract P4-02-07: Radiogenomic analysis of HER2+ breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy response (2018) (0)
- MP35-02 COMPUTER-EXTRACTED FEATURES OF NUCLEAR AND GLANDULAR MORPHOLOGY FROM DIGITAL H&E TISSUE IMAGES PREDICT PROSTATE CANCER BIOCHEMICAL RECURRENCE AND METASTASIS FOLLOWING RADICAL PROSTATECTOMY (2018) (0)
- Abstract P2-11-16: Computerized Measurements of Nuclear Morphology Features, Mitosis Rate, and Tubule Formation from H&E Images Predicts Disease-Free Survival in Patients with HR+ & LN+ Invasive Breast Cancer from SWOG S8814 (2023) (0)
- supp1-3134160.pdf (0)
- Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation (2014) (0)
- Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images (2017) (0)
- Medical Image Informatics for Personalized Medicine (2013) (0)
- Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study (2018) (0)
- Computer extracted measurements of intra-tumoral heterogeneity on H&E stained tissue images to distinguish short term and long term survivors in patients with non-small cell lung carcinoma. (2017) (0)
- Abstract PD9-03: A combination of intra- and peri-lesional deep learning classifiers from multiple views enables accurate diagnosis of architectural distortion malignancy with digital breast tomosynthesis (2020) (0)
- STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI (2019) (0)
- Computer extracted nuclear features from tumor and benign regions of Feulgen and H&E images to help predict recurrence in prostate cancer patients following radical prostatectomy. (2017) (0)
- NIMG-80. SHAPE ATTRIBUTES OF ENHANCING LESION BOUNDARIES CAN DIFFERENTIATE TUMOR RECURRENCE FROM PSEUDO-PROGRESSION ON ROUTINE BRAIN MRI SCANS: PRELIMINARY FINDINGS (2017) (0)
- PUB024 Clusters Spatial Arrangement of Tumor Infiltrating Lymphocyte and Cancer Nuclei Predicts Recurrence in Early Stage Non-Small Cell Lung Cancer (2017) (0)
- Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer (2022) (0)
- PD52-02 COMPUTER-EXTRACTED FEATURES OF GLAND MORPHOLOGY FROM DIGITAL TISSUE IMAGES IS COMPARABLE TO DECIPHER FOR PROGNOSIS OF BIOCHEMICAL RECURRENCE RISK POST-SURGERY (2020) (0)
- 61 Combination of novel biomarkers of collagen fiber and immune architecture are associated with clinically relevant outcomes in gynecological cancers treated with immunotherapy (2022) (0)
- P1.13-34 Changes in Radiomic Features Between Baseline and Two Weeks Post-Nivolumab Treatment Are Predictive of Pathologic Complete Response (2018) (0)
- An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study (2021) (0)
- Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings (2019) (0)
- Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas (2018) (0)
- LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis (2021) (0)
- History of the SPIE Medical Imaging Digital Pathology Conference (2022) (0)
- NIMG-61. USE OF TEXTURAL RADIOMIC MAPS IN A 3D CONVOLUTIONAL NEURAL NETWORK FRAMEWORK CAN AUGMENT GLIOMA LESION SEGMENTATION (2017) (0)
- Abstract 1722: Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer (NSCLC) (2022) (0)
- Accurate Prostate Volume Determination from T2-w MRI using Statistical Shape Models (2011) (0)
- Abstract P1-10-06: Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapy (2020) (0)
- Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by Zheng et al (2022) (0)
- Front Matter: Volume 9041 (2014) (0)
- Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans (2023) (0)
- DISTINGUISHING LOW VERSUS HIGH RISK PROSTATE CANCER LESIONS USING RADIOMIC FEATURES DERIVED FROM MULTI‐PARAMETRIC MAGNETIC RESONANCE IMAGING (MRI): PD65‐08 (2017) (0)
- Optical Coherence Tomography-Derived Radiomic Features Predict Anti-VEGF Response and Durability in Neovascular AMD (2022) (0)
- Annotation-free 3D segmentation of prostate glands enabled with deep-learning image translation (2021) (0)
- P2.17-35 Integrating CT Radiomic & Quantitative Histomorphometric Whole Slide Image Features Predicts Disease Free Survival in ES-NSCLC (2019) (0)
- Abstract P4-09-12: Quantitative image features of nuclear and tubule architecture distinguish high and low oncotype DX risk categories of ductal carcinoma in situ from H&E tissue images (2018) (0)
- MP35-01 PROSTATE TUMOR TEXTURAL HETEROGENEITY OF 11C-ACETATE POSITRON EMISSION TOMOGRAPHY AND T2-WEIGHTED MAGNETIC RESONANCE IMAGING CORRELATE WITH BIOCHEMICAL RECURRENCE: PRELIMINARY FINDINGS (2018) (0)
- Fifty years of SPIE Medical Imaging proceedings papers (2022) (0)
- P2.17-34 Integrated Clinico-Radiomic Nomogram for Predicting Disease-Free Survival (DFS) in Stage I and II Non-Small Cell Lung Cancer (2019) (0)
- Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer (2022) (0)
- A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer (2023) (0)
- Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications (2013) (0)
- Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study (2019) (0)
- NIMG-75. RADIOMIC FEATURES LOCALIZED TO STEREOTACTIC BIOPSY LOCATIONS CAN CAPTURE EGFR PRESENCE IN GLIOBLASTOMA (2019) (0)
- Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images (2020) (0)
- Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies (2017) (0)
- Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers (2020) (0)
- Abstract P4-10-13: Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study (2020) (0)
- Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation (2019) (0)
- MA15.05 Computerized Measurements of Cellular Diversity on H&E Tissue Are Prognostic of OS and Associated with Mutational Status in NSCLC (2019) (0)
- Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings (2017) (0)
- A combination of computer extracted measurements of prostate capsule shape and tumor texture on MRI to predict biochemical recurrence post treatment. (2017) (0)
- Abstract P4-09-11: Computer extracted features of tumor grade from H&E images predict oncotype DX risk categories for early stage ER+ breast cancer (2018) (0)
- P240 Computerized Quantification of Tumor Infiltrating Lymphocyte (TIL) as a prognostic and predictive factor in ductal carcinoma in situ: Results from the UK/ANZ DCIS randomized trial (2023) (0)
- Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI (2017) (0)
- Image analysis in drug discovery (2021) (0)
- PUB082 Radiomic Features on Baseline CT Are Predictive of Recurrence in Early Stage Non-Small Cell Lung Cancer Patients (2017) (0)
- Computational Imaging Biomarker Correlation with Intraocular Cytokine Expression in Diabetic Macular Edema (2022) (0)
- Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings (2019) (0)
- Reply: (2017) (0)
- Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images (2023) (0)
- Computerized Classification of Benign and Malignant Breast Lesions on DCE-MRI Utilizing Novel Shape Descriptors (2010) (0)
- Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoring (2022) (0)
- Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI (2017) (0)
- Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study (2022) (0)
- Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features (2017) (0)
- NIMG-27. RADIOGENOMIC ANALYSIS OF GLIOBLASTOMA REVEALS TEXTURAL FEATURES FROM MRI THAT CORRELATE WITH GENOMIC IMMUNE SCORE AND ARE ALSO PREDICTIVE OF CHEMO-RADIATION TREATMENT RESPONSE (2018) (0)
- Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI (2013) (0)
- Deep Learning-Based Cancer Region Segmentation from H&E Slides for HPV-Related Oropharyngeal Squamous Cell Carcinomas (2021) (0)
- XML annotations by MF and NS of WSIs from CINJ (2018) (0)
- Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum. (2021) (0)
- MA13.02 Novel Non-Invasive Radiomic Signatures Extracted from Radiographic Images can Predict Response to Systemic Treatment in Small Cell Lung Cancer (2021) (0)
- Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI (2016) (0)
- Combination of CT derived radiomic features and lymphovascular invasion status to predict disease recurrence following trimodality therapy in non-small cell lung cancer. (2018) (0)
- PD57-05 A DEEP LEARNING NETWORK ALONG WITH PIRADS CAN DISTINGUISH CLINICALLY SIGNIFICANT AND INSIGNIFICANT PROSTATE CANCER ON BI-PARAMETRIC MRI (2020) (0)
- Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study (2022) (0)
- Preface ML-CDS 2017 (2017) (0)
- Determining histology-MRI slice correspondences for mapping prostate cancer extent in vivo (2010) (0)
- Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer (2018) (0)
- Reply: (2017) (0)
- MP6-18 PROSTATE CANCER RECURRENCE CAN BE PREDICTED BY MEASURING NUCLEAR ORGANIZATION AND SHAPE PARAMETERS IN ADJACENT BENIGN REGIONS ON RADICAL PROSTATECTOMY SPECIMENS (2015) (0)
- FOR ANALYZING DEFORMATION OF IN VITRO TISSUE MODELS DURING SIMULATED ACUPUNCTURE THERAPY (2009) (0)
- Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation (2017) (0)
- Abstract P5-06-15: Computer extracted features of nuclear shape, orientation disorder and texture from H&E Whole slide images are associated with disease-free survival in ductal carcinoma in situ (DCIS) (2020) (0)
- Identifying the origination of liver metastasis using a hand-crafted computational pathology approach (2022) (0)
- Retinopathy Using Smartphones (2013) (0)
- Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies. (2023) (0)
- Computerized features of spatial interplay of tumor-infiltrating lymphocytes predict disease recurrence in p16+ oropharyngeal squamous cell carcinoma: A multisite validation study. (2020) (0)
- Quantitative Histomorphometric Features of Tumor Nuclei are Prognostic of Disease-Free Survival in Papillary Thyroid Carcinoma (2022) (0)
- MP81-06 RADIOMIC FEATURES OF PROSTATE CANCER PATIENTS (GLEASON GRADE GROUP = 2) SHOW DIFFERENCES BETWEEN AFRICAN AMERICAN AND CAUCASIAN POPULATIONS ON BI-PARAMETRIC MRI (2020) (0)
- IDENTIFYING THE HISTOMORPHOMETRIC BASIS OF PREDICTIVE RADIOMIC MARKERS FOR CHARACTERIZATION OF PROSTATE CANCER (2016) (0)
- Title of the Manuscript Novel Radiomic Analysis on Bi-Parametric MRI for Characterizing Differences between MR Non-Visible and Visible Clinically Significant Prostate Cancer (2022) (0)
- Co-registration of MRI via a Learning Based Fiducial-driven Registration ( LeFiR ) Scheme : Evaluating Laser Irradiation Changes for Glioblastomas and Epilepsy (2012) (0)
- Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images (2022) (0)
- Corrigendum to "Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features" [Lung Cancer 135 (September) (2019) 1-9]. (2019) (0)
- Radiomics in genitourinary cancers (2019) (0)
- Computer extracted shape features of prostate capsule from MRI to predict biochemical recurrence of prostate cancer post-treatment. (2017) (0)
- Abstract P4-03-04: Computer extracted image measurements of nuclear shape and texture from H&E images appear to stratify low and high risk ER+ breast cancers assessed via oncotype DX (2013) (0)
- Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary Findings (2022) (0)
- NIMG-17. STRUCTURAL DEFORMATION FIELD ON T1W MRI IN HEALTHY BRAIN PARENCHYMA IS ASSOCIATED WITH OVERALL SURVIVAL IN TREATMENT-NAÏVE GLIOBLASTOMA MULTIFORME (2017) (0)
- Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study (2020) (0)
- Proceedings of the 2011 international conference on Prostate cancer imaging: image analysis and image-guided interventions (2011) (0)
- Abstract LB-021: Combination of quantitative histomorphometry with NFκB/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients (2018) (0)
- Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker (2023) (0)
- Computer extracted features of gland morphology on H&E surgically resected tissue images as predictive of biochemical recurrence and rate of expression in African American compared to Caucasian American men. (2017) (0)
- Abstract P2-11-11: Computer analysis of nuclear morphology with Multiple Instance Learning Predicts Overall Survival for Node Positive Breast Cancer Patients from SWOG S8814: A Blinded Validation Study (2023) (0)
- Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease (2022) (0)
- Reply: (2017) (0)
- Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions (2003) (0)
- Computer extracted features on H&E images to improve biochemical recurrence prediction of Kattan nomogram for prostate cancer patients following radical prostatectomy: Preliminary findings. (2016) (0)
- A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors (2022) (0)
- New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation (2022) (0)
- Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas (2019) (0)
- Texture-based CT radiomics distinguishes radiation and immunotherapy induced pneumonitis in stage III NSCLC. (2022) (0)
- Title: Prostate cancer risk stratification via non-destructive 3D pathology with annotation-free gland segmentation and analysis Running title: Prostate cancer risk stratification via 3D gland analysis (2021) (0)
- Abstract P2-03-01: Computer extracted image texture features on T2-weighted MRI appear to correlate with nuclear morphologic descriptors from H&E-stained histopathology in estrogen receptor positive breast cancers (2013) (0)
- NIMG-54. SPATIAL DISTRIBUTION ATLASES OF POST-TREATMENT MRI SCANS REVEAL DISTINCT HEMISPHERIC DISTRIBUTION OF GLIOBLASTOMA RECURRENCE FROM PSEUDO-PROGRESSION (2018) (0)
- Abstract P2-02-12: Computer derived image features on DCE-MRI appear to distinguish estrogen receptor-positive breast cancers with low and high oncotype DX recurrence scores (2013) (0)
- Title: Histological Image Classification Using Biologically Interpretable Shape-based Features (0)
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