Ronald Summers
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Researcher, NIH Clinical Center
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Ronald Summers's Degrees
- PhD Electrical Engineering University of Maryland, College Park
Why Is Ronald Summers Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ronald Marc Summers is an American radiologist and senior investigator at the Diagnostic Radiology Department at the NIH Clinical Center in Bethesda, Maryland. He is chief of the Clinical Image Processing Service and directs the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory. A researcher in the field of radiology and computer-aided diagnosis, he has co-authored over 500 journal articles and conference proceedings papers and is a coinventor on 12 patents. His lab has conducted research applying artificial intelligence and deep learning to radiology.
Ronald Summers'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
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning (2016) (3132)
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases (2017) (2521)
- Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique (2016) (1289)
- The future of digital health with federated learning (2020) (602)
- DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation (2015) (571)
- A large annotated medical image dataset for the development and evaluation of segmentation algorithms (2019) (513)
- Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation (2015) (512)
- Machine learning and radiology (2012) (503)
- A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations (2014) (474)
- Deep learning in medical imaging and radiation therapy. (2018) (449)
- Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets (2020) (346)
- Preparing Medical Imaging Data for Machine Learning. (2020) (337)
- Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks (2019) (331)
- Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. (2005) (316)
- TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays (2018) (299)
- Automated polyp detection at CT colonography: feasibility assessment in a human population. (2001) (295)
- DeepPap: Deep Convolutional Networks for Cervical Cell Classification (2017) (291)
- DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning (2018) (283)
- Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation (2016) (269)
- Automated polyp detector for CT colonography: feasibility study. (2000) (245)
- Spatial aggregation of holistically‐nested convolutional neural networks for automated pancreas localization and segmentation☆ (2017) (243)
- A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises (2020) (229)
- Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks (2018) (226)
- On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. (2020) (189)
- Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study (2017) (171)
- Deep convolutional networks for pancreas segmentation in CT imaging (2015) (169)
- Anatomy-specific classification of medical images using deep convolutional nets (2015) (168)
- Interleaved text/image Deep Mining on a large-scale radiology database (2015) (156)
- Colonic polyps: complementary role of computer-aided detection in CT colonography. (2002) (153)
- Automated segmentation and quantification of liver and spleen from CT images using normalized probabilistic atlases and enhancement estimation. (2010) (147)
- Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation (2016) (145)
- Automated spinal column extraction and partitioning (2006) (143)
- CT colonography with computer-aided detection as a second reader: observer performance study. (2008) (140)
- The future of digital health with federated learning. (2020) (140)
- Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session (2017) (138)
- NegBio: a high-performance tool for negation and uncertainty detection in radiology reports (2017) (136)
- Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors (2015) (133)
- Virtual bronchoscopy: segmentation method for real-time display. (1996) (131)
- A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling (2015) (129)
- Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models (2004) (126)
- Tumor Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation (2012) (123)
- Gray-scale skeletonization of small vessels in magnetic resonance angiography (2000) (121)
- Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults. (2019) (121)
- Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images (2017) (118)
- Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2. (2017) (116)
- Towards non-invasive screening of skin lesions by near-infrared spectroscopy. (2001) (114)
- Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database (2017) (111)
- Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research (2014) (109)
- Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs (2018) (109)
- Evaluation of computer-aided detection and diagnosis systems. (2013) (105)
- A multi-center milestone study of clinical vertebral CT segmentation (2016) (103)
- Automated abnormality classification of chest radiographs using deep convolutional neural networks (2020) (103)
- 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection (2018) (103)
- Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT (2012) (102)
- Evaluation of the aortic root by MRI: insights from patients with homozygous familial hypercholesterolemia. (1998) (102)
- Computer-aided diagnosis of pulmonary infections using texture analysis and support vector machine classification. (2011) (102)
- Effect of computer-aided detection for CT colonography in a multireader, multicase trial. (2010) (97)
- Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images. (2017) (94)
- Comparative evaluation of super high-resolution CT scan and virtual bronchoscopy for the detection of tracheobronchial malignancies. (2003) (93)
- XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation (2018) (91)
- Hybrid segmentation of colon filled with air and opacified fluid for CT colonography (2006) (89)
- Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets. (2003) (89)
- Computer-assisted detection of colonic polyps with CT colonography using neural networks and binary classification trees. (2002) (87)
- Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging. (2015) (85)
- Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography. (2012) (82)
- Computer-aided detection of polyps on oral contrast-enhanced CT colonography. (2005) (80)
- Road maps for advancement of radiologic computer-aided detection in the 21st century. (2003) (80)
- Co-registered optical coherence tomography and fluorescence molecular imaging for simultaneous morphological and molecular imaging (2008) (79)
- Feasibility of Simultaneous Computed Tomographic Colonography and Fully Automated Bone Mineral Densitometry in a Single Examination (2011) (77)
- Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications (2014) (76)
- Tracheal and central bronchial aerodynamics using virtual bronchoscopy and computational fluid dynamics (2004) (76)
- A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop. (2019) (76)
- Polypoid lesions of airways: early experience with computer-assisted detection by using virtual bronchoscopy and surface curvature. (1998) (75)
- Common Limitations of Image Processing Metrics: A Picture Story (2021) (74)
- Detection of Vertebral Body Fractures Based on Cortical Shell Unwrapping (2012) (74)
- Polyp size measurement at CT colonography: what do we know and what do we need to know? (2010) (74)
- Grey-Scale Skeletonization of Small Vessels in Magnetic Resonance Angiography (2000) (71)
- Challenges for computer-aided diagnosis for CT colonography (2002) (71)
- A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT. (2020) (70)
- CT virtual bronchoscopy of simulated endobronchial lesions: effect of scanning, reconstruction, and display settings and potential pitfalls. (1998) (69)
- Virtual bronchoscopy for evaluation of malignant tumors of the thorax. (2002) (69)
- Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study (2018) (67)
- Progress in Fully Automated Abdominal CT Interpretation. (2016) (66)
- Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study. (2020) (66)
- Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI. (2019) (65)
- CT virtual bronchoscopy of the central airways in patients with Wegener's granulomatosis. (2002) (64)
- Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization (2010) (64)
- Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment. (2019) (64)
- Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment. (2019) (61)
- MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation (2019) (61)
- Navigational aids for real-time virtual bronchoscopy. (1997) (60)
- Support vector machines committee classification method for computer-aided polyp detection in CT colonography1 (2005) (59)
- Lytic metastases in thoracolumbar spine: computer-aided detection at CT--preliminary study. (2007) (59)
- Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks (2017) (57)
- Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort. (2018) (57)
- Surface curvature estimation for automatic colonic polyp detection (2005) (56)
- Patient specific tumor growth prediction using multimodal images (2014) (56)
- Abdominal Multi-Organ Segmentation of CT Images Based on Hierarchical Spatial Modeling of Organ Interrelations (2011) (55)
- Active appearance model and deep learning for more accurate prostate segmentation on MRI (2016) (55)
- Kidney Tumor Growth Prediction by Coupling Reaction–Diffusion and Biomechanical Model (2013) (54)
- Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation (2018) (54)
- Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier (2019) (53)
- Segmentation label propagation using deep convolutional neural networks and dense conditional random field (2016) (53)
- 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers (2014) (53)
- 3D left ventricular extracellular volume fraction by low-radiation dose cardiac CT: assessment of interstitial myocardial fibrosis. (2013) (52)
- Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images (2017) (52)
- Convolutional Invasion and Expansion Networks for Tumor Growth Prediction (2018) (52)
- Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST (2018) (51)
- Performance of a previously validated CT colonography computer-aided detection system in a new patient population. (2008) (51)
- Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei (2017) (51)
- Automatic Correction of Level Set Based Subvoxel Precise Centerlines for Virtual Colonoscopy Using the Colon Outer Wall (2007) (50)
- Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images (2016) (50)
- Texture analysis in radiology: Does the emperor have no clothes? (2017) (50)
- Oral Contrast Adherence to Polyps on CT Colonography (2006) (49)
- Deep convolutional networks for automated detection of posterior-element fractures on spine CT (2016) (48)
- Automated Detection, Localization, and Classification of Traumatic Vertebral Body Fractures in the Thoracic and Lumbar Spine at CT. (2016) (48)
- Renal tumor quantification and classification in contrast-enhanced abdominal CT (2009) (48)
- Mediastinal lymph node detection and station mapping on chest CT using spatial priors and random forest. (2016) (48)
- Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining (2019) (47)
- Automated detection of sclerotic metastases in the thoracolumbar spine at CT. (2013) (47)
- Polyps: linear and volumetric measurement at CT colonography. (2006) (47)
- Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes. (2019) (46)
- CT colonography with computer-aided detection: automated recognition of ileocecal valve to reduce number of false-positive detections. (2004) (46)
- Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology (2019) (45)
- Automatic multi-resolution shape modeling of multi-organ structures (2015) (45)
- Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults. (2020) (44)
- Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks (2017) (43)
- Metrics reloaded: Pitfalls and recommendations for image analysis validation (2022) (43)
- Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data (2019) (42)
- Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling (2017) (41)
- Computer Aided Evaluation of Ankylosing Spondylitis Using High-Resolution CT (2008) (41)
- Support vector machines committee classification method for computer-aided polyp detection in CT colonography. (2005) (40)
- Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort (2019) (40)
- Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition (2017) (40)
- Automated detection of blob structures by Hessian analysis and object scale (2010) (40)
- Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks (2018) (39)
- Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT (2013) (39)
- Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans (2018) (39)
- Feature selection for computer-aided polyp detection using genetic algorithms (2003) (39)
- Strategies for improved interpretation of computer-aided detections for CT colonography utilizing distributed human intelligence (2012) (38)
- Improved classifier for computer-aided polyp detection in CT colonography by nonlinear dimensionality reduction. (2008) (38)
- Teniae coli guided navigation and registration for virtual colonoscopy (2005) (38)
- Employing topographical height map in colonic polyp measurement and false positive reduction (2009) (38)
- Assessing splenomegaly: automated volumetric analysis of the spleen. (2013) (37)
- A prostate cancer computer-aided diagnosis system using multimodal magnetic resonance imaging and targeted biopsy labels (2013) (37)
- Liver and Tumor Segmentation and Analysis from CT of Diseased Patients via a Generic Affine Invariant Shape Parameterization and Graph Cuts (2011) (36)
- Navigational aids for real-time virtual bronchoscopy (1997) (36)
- Optimizing area under the ROC curve using semi-supervised learning (2015) (36)
- Teniae coli-based circumferential localization system for CT colonography: feasibility study. (2007) (36)
- CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement (2018) (36)
- Optimizing the support vector machines (SVM) committee configuration in a colonic polyp CAD system (2005) (36)
- Biomedical Imaging Research Opportunities Workshop II: report and recommendations. (2003) (36)
- Unsupervised body part regression via spatially self-ordering convolutional neural networks (2017) (35)
- COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature (2020) (34)
- Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI (2017) (34)
- Virtual bronchoscopy for evaluation of airway disease. (2004) (34)
- Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion (2015) (34)
- Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection (2015) (34)
- Detection of prostate cancer in multiparametric MRI using random forest with instance weighting (2017) (33)
- A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans (2014) (33)
- Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI. (2020) (33)
- Segmentation and quantification of pulmonary artery for noninvasive CT assessment of sickle cell secondary pulmonary hypertension. (2010) (33)
- Automated noninvasive classification of renal cancer on multiphase CT. (2011) (33)
- Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination (2021) (32)
- TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays (2019) (32)
- CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation (2019) (32)
- Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail (2020) (32)
- DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations (2017) (31)
- Deep adversarial one-class learning for normal and abnormal chest radiograph classification (2019) (30)
- Revisiting oral barium sulfate contrast agents. (2007) (30)
- A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis (2020) (30)
- An automatic method for renal cortex segmentation on CT images: evaluation on kidney donors. (2012) (30)
- Multi-organ segmentation in abdominal CT images (2012) (30)
- E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans (2020) (29)
- Automated seed placement for colon segmentation in computed tomography colonography. (2005) (28)
- Association between visceral adiposity and colorectal polyps on CT colonography. (2012) (28)
- Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors (2013) (28)
- Wavelet method for CT colonography computer-aided polyp detection (2006) (28)
- Assessing hepatomegaly: automated volumetric analysis of the liver. (2012) (28)
- Current status of CT colonography. (2006) (28)
- Self-learning to detect and segment cysts in lung CT images without manual annotation (2018) (28)
- Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks (2018) (28)
- Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value. (2021) (27)
- Reduction of false positives on the rectal tube in computer-aided detection for CT colonography. (2004) (27)
- Atlas-Based Automated Segmentation of Spleen and Liver Using Adaptive Enhancement Estimation (2009) (27)
- CT colonography with computer-aided polyp detection: volume and attenuation thresholds to reduce false-positive findings owing to the ileocecal valve. (2006) (27)
- Computer-aided detection of exophytic renal lesions on non-contrast CT images (2015) (27)
- Visceral fat quantification in asymptomatic adults using abdominal CT: is it predictive of future cardiac events? (2014) (26)
- Scale-based scatter correction for computer-aided polyp detection in CT colonography. (2008) (26)
- Improving the accuracy of CTC interpretation: computer-aided detection. (2010) (25)
- Multi-organ automatic segmentation in 4D contrast-enhanced abdominal CT (2008) (25)
- Registration of prone and supine CT colonography scans using correlation optimized warping and canonical correlation analysis. (2009) (25)
- Computer-aided renal cancer quantification and classification from contrast-enhanced CT via histograms of curvature-related features (2009) (24)
- Computer aided lytic bone metastasis detection using regular CT images (2006) (24)
- FEM-Based 3-D Tumor Growth Prediction for Kidney Tumor (2010) (24)
- Automated abnormality classification of chest radiographs using deep convolutional neural networks. (2020) (24)
- Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use. (2013) (23)
- Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods (1998) (23)
- Reversible Projection Technique for Colon Unfolding (2010) (23)
- Automated liver segmentation using a normalized probabilistic atlas (2009) (23)
- Abdominal lymphadenopathy detection using random forest (2014) (22)
- Fully automated adipose tissue measurement on abdominal CT (2011) (22)
- Automated centerline for computed tomography colonography. (2003) (22)
- Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion (2014) (22)
- Statistical Location Model for Abdominal Organ Localization (2009) (22)
- Automated centerline for computed tomography colonography1 (2003) (22)
- Automatic Segmentation and Measurement of Pleural Effusions on CT (2013) (21)
- Polyp segmentation method for CT colonography computer-aided detection (2003) (21)
- Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction (2019) (21)
- CT colonography computer-aided polyp detection: Effect on radiologist observers of polyp identification by CAD on both the supine and prone scans. (2010) (21)
- Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization (2010) (21)
- Normalized distance along the colon centerline: a method for correlating polyp location on CT colonography and optical colonoscopy. (2009) (21)
- Measurement of stenosis from magnetic resonance angiography using vessel skeletons (2000) (21)
- Anatomical variability of organs via principal factor analysis from the construction of an abdominal probabilistic atlas (2009) (20)
- Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast (2020) (20)
- Fusion of machine intelligence and human intelligence for colonic polyp detection in CT colonography (2011) (20)
- Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto fronta. (2008) (20)
- Computer aided evaluation of ankylosing spondylitis (2006) (20)
- Computer-aided detection of renal calculi from noncontrast CT images using TV-flow and MSER features. (2014) (19)
- Atlas-based Automated Segmentation of Spleen and Liver using Adaptive Enhancement Estimation. (2009) (19)
- Detection of Colon Wall Outer Boundary and Segmentation of the Colon Wall Based on Level Set Methods (2006) (19)
- Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach (2016) (19)
- Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI (2017) (19)
- Discriminative ensemble learning for few-shot chest x-ray diagnosis (2020) (19)
- Seeing Is Believing: Video Classification for Computed Tomographic Colonography Using Multiple-Instance Learning (2012) (18)
- An analysis of robust cost functions for CNN in computer-aided diagnosis (2018) (18)
- Detection of sclerotic bone metastases in the spine using watershed algorithm and graph cut (2012) (18)
- Combining Statistical and Geometric Features for Colonic Polyp Detection in Ctc Based on Multiple Kernel Learning (2010) (18)
- Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully-Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1,204 Heathy Adults Using Unenhanced CT as Reference Standard. (2020) (18)
- Automated measurement of colorectal polyp height at CT colonography: hyperplastic polyps are flatter than adenomatous polyps. (2009) (18)
- Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift (2020) (18)
- Computer-aided detection of sclerotic bone metastases in the spine using watershed algorithm and support vector machines (2011) (17)
- Quantitative vertebral compression fracture evaluation using a height compass (2012) (17)
- RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting (2021) (17)
- Helical CT of von Hippel-Lindau: semi-automated segmentation of renal lesions (2001) (17)
- Computer aided evaluation of pleural effusion using chest CT images (2009) (17)
- Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection (2016) (17)
- Temporal and multiinstitutional quality assessment of CT colonography. (2008) (17)
- Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy (2007) (17)
- Hepatic MR angiography: a multiobserver comparison of visualization methods. (2001) (17)
- Computer aided polyp detection in CT colonography using an ensemble of support vector machines (2003) (17)
- Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database (2016) (16)
- Sharing images (2017) (16)
- An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection (2005) (16)
- Quality assessment for CT colonography: validation of automated measurement of colonic distention and residual fluid. (2007) (16)
- Automated image-based colon cleansing for laxative-free CT colonography computer-aided polyp detection. (2011) (16)
- Computer-Aided Detection of Polyps in a Colon Phantom: Effect of Scan Orientation, Polyp Size, Collimation, and Dose (2002) (16)
- Personalized Pancreatic Tumor Growth Prediction via Group Learning (2017) (16)
- Soft Multi-organ Shape Models via Generalized PCA: A General Framework (2016) (16)
- Comparative performance of two polyp detection systems on CT colonography. (2007) (16)
- Comparative Evaluation of Three Software Packages for Liver and Spleen Segmentation and Volumetry. (2017) (15)
- 3D Multi-scale level set segmentation of vertebrae (2007) (15)
- Wavelet method for CT colonography computer-aided polyp detectiona). (2008) (15)
- Cross-Domain Medical Image Translation by Shared Latent Gaussian Mixture Model (2020) (15)
- Deep Learning and Computer-Aided Diagnosis for Medical Image Processing: A Personal Perspective (2017) (15)
- Future Directions: Computer-Aided Diagnosis (2005) (15)
- A self-attention based deep learning method for lesion attribute detection from CT reports (2019) (15)
- Adaptive deformable model for colonic polyp segmentation and measurement on CT colonography. (2007) (15)
- Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model (2010) (15)
- Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning (2017) (14)
- Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction (2019) (14)
- Identification of muscle and subcutaneous and intermuscular adipose tissue on thigh MRI of muscular dystrophy (2016) (14)
- Level set based vertebra segmentation for the evaluation of Ankylosing Spondylitis (2006) (14)
- Analysis of kernel method for surface curvature estimation (2004) (14)
- Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections (2019) (14)
- Weakly-supervised lesion segmentation on CT scans using co-segmentation (2020) (14)
- Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database (2017) (14)
- Skeletal Muscle Magnetic Resonance Biomarkers in GNE Myopathy (2020) (14)
- Deep Learning Lends a Hand to Pediatric Radiology. (2018) (14)
- Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling (2017) (14)
- Deep Small Bowel Segmentation with Cylindrical Topological Constraints (2020) (13)
- Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model (2013) (13)
- A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low-Dose Cardiac CT Images (2012) (13)
- Computer Aided Detection of Lytic Bone Metastases in the Spine using Routine CT Images (2007) (13)
- Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT (2015) (13)
- Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training (2021) (13)
- Trustworthy Artificial Intelligence in Medical Imaging. (2022) (13)
- Utilizing Fully Automated Abdominal CT–Based Biomarkers for Opportunistic Screening for Metabolic Syndrome in Adults Without Symptoms (2020) (13)
- Improving polyp detection algorithms for CT colonography: Pareto front approach (2010) (13)
- Conspicuity of colorectal polyps at CT colonography: visual assessment, CAD performance, and the important role of polyp height. (2009) (13)
- Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans. (2020) (13)
- 3D colonic polyp segmentation using dynamic deformable surfaces (2004) (12)
- Computed tomographic and magnetic resonance colonography: summary of progress from 1995 to 2000. (2001) (12)
- The elephant in the room: bowel preparation for CT colonography. (2009) (12)
- Hierarchical patch generation for multilevel statistical shape analysis by principal factor analysis decomposition (2010) (12)
- One Click Lesion RECIST Measurement and Segmentation on CT Scans (2020) (12)
- Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST (2018) (12)
- Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT (2014) (12)
- Gadolinium-enhanced 3D MRA prior to isolated hepatic perfusion for metastases. (1999) (12)
- Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging (2019) (12)
- Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI (2017) (12)
- Computer-assisted detection of subcutaneous melanomas: feasibility assessment. (2004) (12)
- Detection of anatomical landmarks in human colon from computed tomographic colonography images (2008) (12)
- Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT (2014) (12)
- Colitis detection on abdominal CT scans by rich feature hierarchies (2016) (11)
- Pelvic CT Findings after Radical Prostatectomy (1993) (11)
- Sclerotic rib metastases detection on routine CT images (2012) (11)
- Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression (2015) (11)
- Assessment of polyp and mass histopathology by intravenous contrast-enhanced CT colonography. (2006) (11)
- Automatic colonic polyp detection using multi-objective evolutionary techniques (2006) (11)
- Dose reduction in CT: the time is now. (2010) (11)
- Weakly Supervised Lesion Co-Segmentation on Ct Scans (2020) (11)
- COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. (2021) (11)
- A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection (2019) (11)
- Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints (2014) (10)
- CT and image processing non-invasive indicators of sickle cell secondary pulmonary hypertension (2008) (10)
- Analytic surface reconstruction by local threshold estimation in the case of simple intensity contrasts (1999) (10)
- Holistic segmentation of the lung in cine MRI (2017) (10)
- Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization (2014) (10)
- Glycoprotein expression by adenomatous polyps of the colon (2008) (10)
- Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble (2020) (10)
- Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets (2010) (10)
- CAD of colon cancer on CT colonography cases without cathartic bowel preparation (2008) (10)
- Fractal analysis of virtual endoscopy reconstructions (1999) (10)
- Special Section Guest Editorial: Radiomics and Deep Learning (2018) (10)
- Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions). (2022) (10)
- Automatic segmentation of colonic polyps in CT colonography based on knowledge-guided deformable models (2003) (10)
- Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation. (2011) (10)
- Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT. (2020) (9)
- Mixed spine metastasis detection through positron emission tomography/computed tomography synthesis and multiclassifier (2017) (9)
- Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks (2020) (9)
- Automatic segmentation of kidneys from non-contrast CT images using efficient belief propagation (2013) (9)
- Analyses of Missing Organs in Abdominal Multi-Organ Segmentation (2011) (9)
- Colitis detection on computed tomography using regional convolutional neural networks (2016) (9)
- Current concepts and future directions in computer-aided diagnosis for CT colonography (2002) (9)
- Automatic MR prostate segmentation by deep learning with holistically-nested networks (2017) (9)
- Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans (2018) (9)
- Improved virtual bronchoscopy using a multislice helical CT scanner (2000) (9)
- Characterizing Colonic Detections in CT Colonography Using Curvature-Based Feature Descriptor and Bag-of-Words Model (2010) (9)
- Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion (2015) (9)
- MR Virtual Angioscopy of Thoracic Aortic Atherosclerosis in Homozygous Familial Hypercholesterolemia (2001) (9)
- Cortical shell unwrapping for vertebral body abnormality detection on computed tomography (2014) (9)
- Pelvic artery calcification detection on CT scans using convolutional neural networks (2017) (9)
- A deep learning system for automated kidney stone detection and volumetric segmentation on non-contrast CT scans. (2022) (9)
- Fully-Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes. (2021) (8)
- Colonic wall thickness using level sets for CT virtual colonoscopy visual assessment and polyp detection (2007) (8)
- Science to practice: Detection of active colonic hemorrhage with use of helical CT: findings in a swine model. (2003) (8)
- Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans (2012) (8)
- Computer-aided detection of colitis on computed tomography using a visual codebook (2013) (8)
- Osteoporotic and neoplastic compression fracture classification on longitudinal CT (2016) (8)
- Automated teniae coli detection and identification on computed tomographic colonography. (2012) (8)
- Combining optical coherence tomography with fluorescence molecular imaging: towards simultaneous morphology and molecular imaging (2009) (8)
- Tracheal and central bronchial aerodynamics using virtual bronchoscopy (2001) (8)
- Intra-patient colon surface registration based on t&tildeae;ni&tildeae; coli (2007) (8)
- Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CT. (2021) (8)
- Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging (2017) (8)
- Automated detection of pelvic fractures from volumetric CT images (2012) (8)
- Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimationa). (2011) (8)
- Normalized Distance Along the Colon Centerline: A Method for Correlating Polyp Location On CT Colonography and Optical Colonoscopy (2009) (8)
- Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly. (2021) (8)
- Image gallery: A tool for rapid endobronchial lesion detection and display using virtual bronchoscopy (1998) (8)
- Bone suppression on chest radiographs with adversarial learning (2020) (8)
- Associations among Pericolonic Fat, Visceral Fat, and Colorectal Polyps on CT Colonography (2014) (8)
- Opportunistic Screening for Metabolic Syndrome in Asymptomatic Adults Utilizing Fully Automated Abdominal CT-based Biomarkers. (2020) (7)
- Automated measurement and segmentation of abdominal adipose tissue in MRI (2010) (7)
- The effect of edge-preserving image smoothing on automatic colonic polyp detection for CT colonography (2006) (7)
- Automated fat measurement and segmentation with intensity inhomogeneity correction (2010) (7)
- Segmenting The Kidney On CT Scans Via Crowdsourcing (2019) (7)
- Computer aided detection of epidural masses on computed tomography scans (2014) (7)
- Virtual colonoscopy. Authors' reply (2004) (7)
- Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM (2015) (7)
- Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities. (2022) (7)
- Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks (2017) (7)
- Reducing the false positive rate of computer aided detection for CT colonography using Content Based Image Retrieval (2009) (7)
- Virtual Contrast for Coronary Vessels Based on Level Set Generated Subvoxel Accurate Centerlines (2006) (7)
- Matching 3-D Prone and Supine CT Colonography Scans Using Graphs (2012) (7)
- Integration of PACS and CAD systems using DICOMDIR and open-source tools (2013) (7)
- Multi network classification scheme for detection of colonic polyps in CT colonography data sets (2002) (7)
- Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen. (2021) (7)
- Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning. (2022) (7)
- Multimodal Image Driven Patient Specific Tumor Growth Modeling (2013) (7)
- Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans (2013) (7)
- Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation (2021) (7)
- Rh-I-UEA-1 Polymerized Liposomes Target and Image Adenomatous Polyps in the APCMin/+ Mouse Using Optical Colonography (2011) (7)
- colonic polyp segmentation using dynamic deformable surfaces (2004) (7)
- Detection of vertebral degenerative disc disease based on cortical shell unwrapping (2013) (6)
- Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation (2020) (6)
- Automated segmentation of the thyroid gland on thoracic CT scans by multiatlas label fusion and random forest classification (2015) (6)
- Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images (2022) (6)
- Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection (2016) (6)
- Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest (2015) (6)
- A Scalable Reference Standard of Visual Similarity for a Content-Based Image Retrieval System (2011) (6)
- Tumor growth modeling based on dual phase CT and FDG-PET (2013) (6)
- Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest (2015) (6)
- Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images (2010) (6)
- Introduction to the special section on virtual endoscopy (2004) (6)
- Lymph node detection in T2 MRI with transformers (2021) (6)
- Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion (2013) (6)
- Evaluation of computer-aided detection devices: consensus is developing. (2012) (6)
- Computer Aided Detection of Bone Metastases in the Thoracolumbar Spine (2015) (6)
- Two methods of Haustral fold detection from computed tomographic virtual colonoscopy images (2009) (6)
- Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling (2017) (6)
- Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning (2021) (6)
- The Evolving Status of Radiomics. (2020) (6)
- CT Colonography Computer-Aided Polyp Detection using Topographical Height Map (2007) (5)
- Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images (2012) (5)
- Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation (2012) (5)
- Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography (2007) (5)
- Multinetwork classification scheme for detection of colonic polyps in CT colonography data sets (2002) (5)
- Synchronous navigation for CT colonography (2006) (5)
- A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases (2013) (5)
- Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion (2014) (5)
- Pulmonary artery segmentation and quantification in sickle cell associated pulmonary hypertension (2008) (5)
- Acetabular rim and surface segmentation for hip surgery planning and dysplasia evaluation (2008) (5)
- Quantitative assessment of colon distention for polyp detection in CT virtual colonoscopy (2006) (5)
- Automatic segmentation of abdominal vessels for improved pancreas localization (2014) (5)
- Universal lesion detection in CT scans using neural network ensembles (2021) (5)
- An integrated system for computer-aided diagnosis in CT colonography: work in progress (2001) (5)
- Automated CT-Based Body Composition Analysis: A Golden Opportunity (2021) (5)
- Challenges for computer-aided diagnosis for CT colonography (2002) (5)
- Automatic 3D kidney segmentation based on shape constrained GC-OAAM (2011) (5)
- A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI (2018) (5)
- Large-scale validation of a computer-aided polyp detection algorithm for CT colonography using cluster computing (2004) (5)
- Using Pareto fronts to evaluate polyp detection algorithms for CT colonography (2007) (5)
- DETECTION AND SEGMENTATION OF COLONIC POLYPS ON HAUSTRAL FOLDS (2007) (5)
- CURRENT CONCEPTS IN COMPUTER-AIDED DETECTION FOR CT COLONOGRAPHY (2007) (5)
- Abdominal multi-organ localization on contrast-enhanced CT based on maximum a posteriori probability and minimum volume overlap (2011) (5)
- Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans (2012) (5)
- Automatic correction of level set based subvoxel accurate centerlines for virtual colonoscopy (2006) (5)
- Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation (2017) (5)
- Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks (2016) (5)
- Automatic recognition of abdominal lymph nodes from clinical text (2020) (5)
- High-performance computer aided detection system for polyp detection in CT colonography with fluid and fecal tagging (2009) (5)
- Hybrid committee classifier for a computerized colonic polyp detection system (2006) (5)
- Detection of pelvic fractures using graph cuts and curvatures (2011) (4)
- Renal tumor quantification and classification in triple-phase contrast-enhanced abdominal CT (2009) (4)
- Prediction of polyp histology on CT colonography using content-based image retrieval (2010) (4)
- Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path (2012) (4)
- Accurately identifying vertebral levels in large datasets (2020) (4)
- Robust automated lymph node segmentation with random forests (2014) (4)
- A framework to measure myocardial extracellular volume fraction using dual-phase low dose CT images. (2013) (4)
- Retrieval, visualization, and mining of large radiation dosage data (2016) (4)
- Level sets on non-planar manifolds for ridge detection on isosurfaces (2007) (4)
- A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans (2019) (4)
- Vertebral surface registration using ridgelines/crestlines (2008) (4)
- Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization (2016) (4)
- Affine invariant parameterization to assess local shape in abdominal organs (2011) (4)
- Linear measurement of polyps in CT colonography using level sets on 3D surfaces (2009) (4)
- Unsupervised body part regression using convolutional neural network with self-organization (2017) (4)
- Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models (2014) (4)
- Morphometric methods for virtual endoscopy (2000) (4)
- Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients (2012) (4)
- Computer-Aided Polyp Detection for Laxative-Free CT Colonography (2011) (3)
- Supine and prone CT colonography registration by matching graphs of teniae coli (2012) (3)
- Automated labeling of anatomic segments of the colon in CT colonography (2009) (3)
- Polyp height and width measurement using topographic height map (2008) (3)
- Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework (2013) (3)
- Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction (2020) (3)
- A graph-theoretic algorithm for small bowel path tracking in CT scans (2021) (3)
- Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis. (2022) (3)
- CT Evaluation of Lymph Nodes That Merge or Split during the Course of a Clinical Trial: Limitations of RECIST 1.1. (2021) (3)
- Graph matching based on mean field theory (2010) (3)
- Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training (2022) (3)
- Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography (2014) (3)
- Improved 3D automatic segmentation and measurement of pleural effusions (2011) (3)
- Complementary role of computer-aided diagnosis for detecting colonic polyps with CT colonography (2001) (3)
- CT thermometry for cone-beam CT guided ablation (2016) (3)
- Computer-aided abdominal lymph node detection using contrast-enhanced CT images (2011) (3)
- Automated matching of supine and prone colonic polyps based on PCA and SVMs (2008) (3)
- Fast Correction Method for Abdominal Multi-Organ Segmentation Using 2 D / 3 D Free Form Deformation and Posterior Shape Models (2015) (3)
- Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort (2021) (3)
- Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation a set of bounding boxes covering each image superpixel at multiple spatial scales in a “ zoom-out ” fashion (2018) (3)
- Computer-aided lymph node detection in abdominal CT images (2010) (3)
- Reducing false positives of small bowel segmentation on CT scans by localizing colon regions (2014) (3)
- Multilevel image recognition using discriminative patches and kernel covariance descriptor (2014) (3)
- Robust detection of renal calculi from non-contract CT images using TV-flow and MSER features (2013) (3)
- Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation (2015) (3)
- Correlation of morphological and molecular parameters for colon cancer (2010) (3)
- Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images (2013) (3)
- Radiomics and Deep Learning (2018) (3)
- Differential diagnosis of bone marrow failure syndromes guided by machine learning. (2022) (3)
- Robust convolutional neural networks against adversarial attacks on medical images (2022) (3)
- Understanding metric-related pitfalls in image analysis validation (2023) (3)
- Benefits of centerline analysis for CT colonography computer-aided polyp detection (2003) (3)
- Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool. (2022) (3)
- Employing anatomical knowledge in vertebral column labeling (2009) (3)
- Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports (2019) (3)
- Confounding factors need to be accounted for in assessing bias by machine learning algorithms (2022) (2)
- Automatic procedure to distinguish colonic polyps located on fold vs. not on fold (2006) (2)
- Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification (2016) (2)
- Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection (2020) (2)
- Haustral fold detection for CT colonography images using Gabor filter (2010) (2)
- Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest (2016) (2)
- Morphing radiologic images: applications on a desktop computer. (1996) (2)
- Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans (2012) (2)
- Cardiovascular disease and all-cause mortality risk prediction from abdominal CT using deep learning (2021) (2)
- Point-guided modeling and segmentation of myocardium for low dose cardiac CT images (2012) (2)
- Centerline registration of prone and supine CT colonography scans based on correlation optimized warping and anatomical landmarks (2009) (2)
- Improving vertebra segmentation through joint vertebra-rib atlases (2016) (2)
- Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans (2022) (2)
- 3D supine and prone colon registration for computed tomographic colonography scans based on graph matching (2011) (2)
- Computer-aided teniae coli detection using height maps from computed tomographic colonography images (2011) (2)
- Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature (2021) (2)
- Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography:: Current State and Future Directions. (2022) (2)
- Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT (2022) (2)
- Graph-Based Small Bowel Path Tracking with Cylindrical Constraints (2022) (2)
- A cross-platform and distributive database system for cumulative tumor measurement (2012) (2)
- Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles (2021) (2)
- Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs (2019) (2)
- Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information (2008) (2)
- Medical Imaging 2010: Computer-Aided Diagnosis (2010) (2)
- Vertebral degenerative disc disease severity evaluation using random forest classification (2014) (2)
- Automatic colonic polyp shape determination using content-based image retrieval (2011) (2)
- Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans (2023) (2)
- Feasibility of using the marginal blood vessels as reference landmarks for CT colonography. (2014) (2)
- Adult patient-specific CT organ dose estimations using automated segmentations and Monte Carlo simulations (2020) (1)
- Variance reduction for error estimation when classifying colon polyps from CT colonography (2003) (1)
- Improved method for predicting polyp location from CT colonography for optical colonoscopy (2010) (1)
- Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study (2022) (1)
- Chapter 48 – Computer Processing Methods for Virtual Endoscopy (2009) (1)
- Interpretability of anatomical variability analysis of abdominal organs via clusterization of decomposition modes (2008) (1)
- Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction (2022) (1)
- Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes. (2022) (1)
- Simultaneous morphology and molecular imaging of colon cancer (2009) (1)
- Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT (2011) (1)
- 3.1 Natural History of Splenomegaly in CLL from Automated Volumetric Analysis (2011) (1)
- Candidate determination for computer aided detection of colon polyps (Honorable Mention Poster Award) (2005) (1)
- Dynamic cortex stripping for vertebra evaluation (2015) (1)
- Efficient Hilbert transform-based alternative to Tofts physiological models for representing MRI dynamic contrast-enhanced images in computer-aided diagnosis of prostate cancer (2015) (1)
- ROC-like optimization by sample ranking: Application to CT colonography (2012) (1)
- Medical Imaging 2011: Computer-Aided Diagnosis (2011) (1)
- Locally constrained active contour: a region-based level set for ovarian cancer metastasis segmentation (2014) (1)
- Matching colonic polyps using correlation optimized warping (2010) (1)
- Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations (2022) (1)
- Wavelet analysis in virtual colonoscopy (2006) (1)
- Current concepts in computer-aided detection for ct colonography (2010) (1)
- Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming (2009) (1)
- Nomograms for Automated Body Composition Analysis: A Crucial Step for Routine Clinical Implementation. (2020) (1)
- Hepatic Steatosis: CT-based Prevalence in Adults in China and the United States and Associations with Age, Sex, and Body Mass Index. (2021) (1)
- Role of Artificial Intelligence in PET/CT Imaging for Management of Lymphoma. (2023) (1)
- Computer-aided marginal artery detection on computed tomographic colonography (2012) (1)
- Front Matter: Volume 7624 (2010) (1)
- Content-Based Image Retrieval for Medical Image Analysis (2012) (1)
- Confocal volume rendering of the thorax (2001) (1)
- Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification (2015) (1)
- Implicit modeling and virtual endoscopy of pulmonic cavities (1996) (1)
- Collaborative classifiers in CT colonography CAD (2007) (1)
- Robust automated detection, segmentation, and classification of hepatic tumors from CT data (2012) (1)
- RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working Together. (2021) (1)
- Three-dimensional automatic computer-aided evaluation of pleural effusions on chest CT images (2011) (1)
- Imaging data sets (artificial intelligence) (2019) (1)
- AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. (2022) (1)
- Tumor response assessment using volumetric doubling time: better than RECIST? (2014) (1)
- Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Detection (2016) (1)
- automated Detection of s clerotic Metastases in the Thoracolumbar s pine at cT 1 (2013) (1)
- A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans (2018) (1)
- Open-source radiation exposure extraction engine (RE3) for dose monitoring (2015) (1)
- COMPUTER-AIDED DETECTION OF COLONIC DIVERTICULAR DISEASE (2007) (1)
- Clinical image processing engine (2009) (1)
- Universal lymph node detection in T2 MRI using neural networks (2022) (1)
- Front Matter: Volume 7963 (2011) (0)
- Development of multiscale 3D residual U-Net to segment edematous adipose tissue by leveraging annotations from non-edematous adipose tissue (2023) (0)
- Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentation (2020) (0)
- Automated classification of intravenous contrast enhancement phase of CT scans using residual networks (2023) (0)
- Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma: A Promising Biomarker for Tumor Recurrence. (2023) (0)
- A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography (2009) (0)
- Polyp Segmentation on CT Colonography (2016) (0)
- The Medical Segmentation Decathlon (2022) (0)
- Build 4-dimensional myocardial model for dynamic CT images (2013) (0)
- Assessment of Aortoiliac Atherosclerotic Plaque on CT in Prostate Cancer Patients Undergoing Treatment (2022) (0)
- Registration of prone and supine CT colonography scans based on correlation optimized warping and canonical correlation analysis (2009) (0)
- Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor Therapy. (2021) (0)
- Multimodal Image Driven Pancreatic Tumor Growth Prediction (2014) (0)
- Adipose Tissue Measurement Using Magnetic Resonance Imaging: A Survey (2017) (0)
- A proposed measurement scheme when lymph nodes split on serial CT in clinical trials. (2018) (0)
- Correcting class imbalances with self-training for improved universal lesion detection and tagging (2023) (0)
- Erratum: Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CT. (2021) (0)
- Multitask Universal Lesion Analysis Network 3 Conv 1 x 1 ROIAlign ( b ) 3 D feature fusion RPN Backbone : DenseNet with feature pyramid and 3 D feature fusion Proposals (2019) (0)
- Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI (2021) (0)
- 3.3 Characterization of Lymphadenopathy in Untreated Patients with Chronic Lymphocytic Leukemia (2011) (0)
- Realistic colon simulation in CT colonography using mesh skinning (2010) (0)
- Sarcopenia and Myosteatosis in Pulmonary Nontuberculous Mycobacterial Disease Outcomes (2022) (0)
- Improved ascites segmentation with bladder identification using anatomical location residual U-Net (2023) (0)
- Tumor Growth Prediction Using Convolutional Networks (2019) (0)
- WE-E-217A-04: Training and QA Procedures for Using CAD Systems. (2012) (0)
- Magnetic Resonance Angiography of Thoracic Aortic Atherosclerosis in Homozygous Familial Hypercholesterolemia (2000) (0)
- Using the teniae coli as a registration tool in CT colonography (2007) (0)
- Radiology data warehouses: data preparation and dissemination (Conference Presentation) (2023) (0)
- DETECTION OF PROSTATE CANCER IN MULTI-PARAMETRIC MRI USING RANDOM FOREST WITH INSTANCE WEIGHTING & MR PROSTATE SEGMENTATION BY DEEP LEARNING WITH HOLISTICALLY-NESTED NETWORKS (2018) (0)
- Novel thoracic imaging augments diagnosis of bronchial obstruction. (2003) (0)
- Fifty years of SPIE Medical Imaging proceedings papers (2022) (0)
- Towards Fully Automated Abdominal CT Image Interpretation (2015) (0)
- Computer vision approach to detect colonic polyps in computed tomographic colonography (2012) (0)
- Performance tuning of candidate determination methods for computer aided detection of colon polyps (2006) (0)
- 3D universal lesion detection and tagging in CT with self-training (2023) (0)
- Automated Assessment of Renal Calculi in Serial Computed Tomography Scans (2022) (0)
- MP11-02 STONE DIMENSIONS, SKIN-TO-STONE DISTANCE, HOUNSFIELD UNIT DENSITY, AND VISCERAL FAT AREA ARE PRESERVED EVEN WITH ULTRA-LOW DOSE COMPUTERIZED TOMOGRAPHY IN STONE PATIENTS (2015) (0)
- Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer. (2022) (0)
- COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs (2020) (0)
- Fully-Automated detection of small bowel carcinoid tumors in CT scans using deep learning. (2023) (0)
- Method and system of building hospital-scale chest x-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases (2018) (0)
- Technical Adequacy of Fully Automated Artificial Intelligence Body Composition Tools: Assessment in a Heterogeneous Sample of External CT Examinations. (2023) (0)
- Retrieval, visualization, and mining of large radiation dosage data (2015) (0)
- CT Virtual Bronchoscopy for Detecting Wegener Granulomatosis-To the Editor (2002) (0)
- Tracking diaphragm and chest wall movement on cine-MRI (2018) (0)
- Optimizing measurement when lymph nodes merge on serial CT in clinical trials. (2018) (0)
- Screening Colonoscopy: Endoscopic or Virtual (2008) (0)
- Co-registered Optical Coherence Tomography (OCT) and Fluorescence Molecular Imaging for Gastrointestinal Cancer Detection (2010) (0)
- Bridging the Gap: Accuracy and Agreement of PIRADSv2 for Multiple Readers for Magnetic Resonance Imaging Prostate Tumor Detection (2016) (0)
- DMLLE: a large-scale dimensionality reduction method for detection of polyps in CT colonography (2008) (0)
- Texture analysis of common renal masses in multiple MR sequences for prediction of pathology (2017) (0)
- Text Mining Radiology Reports for Deep Learning Radiology Images (2017) (0)
- Combined OCT and fluorescence imaging for cancer detection and therapeutic monitoring (2011) (0)
- SPIE Computer-Aided Diagnosis conference anniversary review (2022) (0)
- Asymmetric Affinity in Fuzzy Connectedness Segmentation for Oral Contrast-Enhances CT Colonography (2006) (0)
- Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor (2022) (0)
- DeepLesion : a Diverse and Large-scale Database of Significant Radiology Image Findings (2018) (0)
- Computer assisted measurement of femoral cortex thickening on radiographs (2013) (0)
- Universal lymph node detection in multiparametric MRI with selective augmentation (2023) (0)
- Visual Phrase Learning and Its Application in Computed Tomographic Colonography (2013) (0)
- Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum) (2019) (0)
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