Georgia Tourassi
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Physicist, Computing Facility director
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Why Is Georgia Tourassi Influential?
(Suggest an Edit or Addition)According to Wikipedia, Georgia "Gina" D. Tourassi is the Director of the Oak Ridge National Laboratory health data sciences institute and adjunct Professor of radiology at Duke University. She works on biomedical informatics, computer-aided diagnosis and artificial intelligence in health care.
Georgia Tourassi'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
- Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance (2008) (727)
- Application of the mutual information criterion for feature selection in computer-aided diagnosis. (2001) (239)
- Journey toward computer-aided diagnosis: role of image texture analysis. (1999) (228)
- Recent advances in chest radiography. (2006) (190)
- A Concentric Morphology Model for the Detection of Masses in Mammography (2007) (177)
- Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information. (2003) (172)
- Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms. (2006) (130)
- Self-organizing map for cluster analysis of a breast cancer database (2003) (119)
- Transforming Epidemiology for 21st Century Medicine and Public Health (2013) (116)
- Methodology for generating a 3D computerized breast phantom from empirical data. (2009) (112)
- Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports (2018) (105)
- Evaluation of computer-aided detection and diagnosis systems. (2013) (105)
- Hierarchical attention networks for information extraction from cancer pathology reports (2017) (99)
- Acute pulmonary embolism: artificial neural network approach for diagnosis. (1993) (99)
- LUNGx Challenge for computerized lung nodule classification (2016) (81)
- A study on the computerized fractal analysis of architectural distortion in screening mammograms (2006) (78)
- The Effect of Data Sampling on the Performance Evaluation of Artificial Neural Networks in Medical Diagnosis (1997) (76)
- Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content (2013) (66)
- Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions. (2000) (66)
- Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis (2011) (63)
- Decision tree classification of proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer (2003) (61)
- Introduction to neutron stimulated emission computed tomography (2006) (54)
- Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records. (2019) (49)
- Impact of missing data in evaluating artificial neural networks trained on complete data (2006) (49)
- A neural network approach to breast cancer diagnosis as a constraint satisfaction problem. (2001) (48)
- Limitations of Transformers on Clinical Text Classification (2021) (48)
- Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks (2019) (46)
- Information-theoretic CAD system in mammography: entropy-based indexing for computational efficiency and robust performance. (2007) (45)
- Hierarchical Convolutional Attention Networks for Text Classification (2018) (45)
- Automated breast mass detection in 3D reconstructed tomosynthesis volumes: a featureless approach. (2008) (44)
- Neutron Stimulated Emission Computed Tomography for Diagnosis of Breast Cancer (2008) (42)
- Artificial neural network for diagnosis of acute pulmonary embolism: effect of case and observer selection. (1995) (41)
- Predicting diagnostic error in radiology via eye-tracking and image analytics: preliminary investigation in mammography. (2013) (41)
- Artificial intelligence in cancer research, diagnosis and therapy (2021) (40)
- Similarity metrics based on nonadditive entropies for 2D-3D multimodal biomedical image registration (2003) (39)
- The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support (2012) (38)
- Individualized computer-aided education in mammography based on user modeling: concept and preliminary experiments. (2010) (34)
- Breast cancer detection using neutron stimulated emission computed tomography: prominent elements and dose requirements. (2007) (33)
- LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. (2015) (33)
- A user-oriented web crawler for selectively acquiring online content in e-health research (2014) (33)
- Decision optimization of case-based computer-aided decision systems using genetic algorithms with application to mammography (2008) (32)
- Evaluating the effect of image preprocessing on an information-theoretic CAD system in mammography. (2008) (28)
- Neutron stimulated emission computed tomography of stable isotopes (2004) (27)
- Analysis of online social networks to understand information sharing behaviors through social cognitive theory (2014) (27)
- Neutron stimulated emission computed tomography: a Monte Carlo simulation approach (2007) (26)
- Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports (2016) (26)
- Neutron-stimulated emission computed tomography of a multi-element phantom (2008) (25)
- Selection of examples in case-based computer-aided decision systems (2008) (25)
- Classifying cancer pathology reports with hierarchical self-attention networks (2019) (24)
- Knowledge Graph-Enabled Cancer Data Analytics (2020) (23)
- Gaze as a biometric (2014) (22)
- An artificial neural network for lesion detection on single-photon emission computed tomographic images. (1992) (22)
- Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism (2001) (22)
- Design and Development of a High-Energy Gamma Camera for Use With NSECT Imaging: Feasibility for Breast Imaging (2007) (21)
- Artificial Neural Networks for Single Photon Emission Computed Tomography: A Study of Cold Lesion Detection and Localization (1993) (21)
- Exploring the potential of context-sensitive CADe in screening mammography. (2010) (21)
- Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports (2018) (20)
- Acute pulmonary embolism: cost-effectiveness analysis of the effect of artificial neural networks on patient care. (1998) (19)
- General ultrasound speckle models in determining scatterer density (2002) (19)
- Improved Lesion Detection In SPECT Using MLEM Reconstruction (1990) (19)
- Neutron stimulated emission computed tomography: Background corrections (2007) (18)
- Experimental detection of iron overload in liver through neutron stimulated emission spectroscopy (2008) (18)
- Identifying error-making patterns in assessment of mammographic BI-RADS descriptors among radiology residents using statistical pattern recognition. (2012) (17)
- Breast segmentation in screening mammograms using multiscale analysis and self-organizing maps (2004) (17)
- Privacy-Preserving Deep Learning NLP Models for Cancer Registries (2020) (16)
- Near-Field High-Energy Spectroscopic Gamma Imaging Using a Rotation Modulation Collimator. (2008) (16)
- Self-organizing maps for masking mammography images (2003) (16)
- Perceptron error surface analysis: a case study in breast cancer diagnosis (2002) (15)
- Fractal Texture Analysis of Perfusion Lung Scans (2000) (15)
- Artificial neural network for diagnosis of acute pulmonary embolism: Effect of case and observer selection (1995) (14)
- Deep active learning for classifying cancer pathology reports (2020) (14)
- Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction (2018) (14)
- Out-of-plane Photons In SPECT (1990) (14)
- Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension (2018) (13)
- Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion (2004) (13)
- Estimation of generalized entropies with sample spacing (2005) (13)
- Investigating the association of eye gaze pattern and diagnostic error in mammography (2013) (13)
- Extracting Patient Demographics and Personal Medical Information from Online Health Forums (2014) (13)
- Non-Invasive Estimation of Potassium (39K) in Bovine Liver Using Neutron Stimulated Emission Computed Tomography (NSECT) (2006) (13)
- Content-based image retrieval as a computer aid for the detection of mammographic masses (2003) (13)
- Feature And Knowledge Based Analysis For Reduction of False Positives in the Computerized Detection of Masses in Screening Mammography (2005) (12)
- Fractal analysis of visual search activity for mass detection during mammographic screening (2017) (12)
- Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience (2007) (12)
- Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports (2019) (12)
- Breast cancer diagnosis using neutron stimulated emission computed tomography: dose and count requirements (2006) (12)
- Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports (2020) (11)
- Characterization of ultrasonic backscatter based on generalized entropy (2002) (11)
- Lesion size quantification in SPECT using an artificial neural network classification approach. (1995) (11)
- Using case-level context to classify cancer pathology reports (2020) (11)
- Reliability analysis framework for computer-assisted medical decision systems. (2007) (11)
- AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing (2019) (11)
- Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback (2004) (10)
- Neutron Spectroscopy of Mouse Using Neutron Stimulated Emission Computed Tomography (NSECT) (2006) (10)
- Energy efficient stochastic-based deep spiking neural networks for sparse datasets (2017) (10)
- Visualization for Classification in Deep Neural Networks (2017) (10)
- COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients (2021) (10)
- Scalable deep text comprehension for Cancer surveillance on high-performance computing (2018) (10)
- Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning (2017) (10)
- Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support (2011) (10)
- Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions (2002) (10)
- Neutron Stimulated Emission Computed Tomography (NSECT) for Early Detection of Breast Cancer (2006) (10)
- A novel web informatics approach for automated surveillance of cancer mortality trends (2016) (10)
- Improved noninvasive diagnosis of acute pulmonary embolism with optimally selected clinical and chest radiographic findings. (1996) (9)
- Computer Assisted Radiology (CAR) (2006) (9)
- Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types (2021) (9)
- The utility of web mining for epidemiological research: studying the association between parity and cancer risk (2016) (9)
- Rotating slat collimator design for high-energy near-field imaging (2006) (8)
- Artificial neural networks for SPECT image reconstruction with optimized weighted backprojection (1991) (8)
- Development of a High-Energy Gamma Camera for use with NSECT Imaging of the Breast (2006) (8)
- Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azithromycin, and COVID-19 outcomes amongst hospitalized US Veterans (2021) (8)
- A constraint satisfaction neural network for medical diagnosis (1999) (8)
- Computer-aided diagnosis in breast imaging: Where do we go after detection? (2006) (8)
- GEANT4 simulation of NSECT for detection of iron overload in the liver (2008) (8)
- GEANT4 simulation of an NSECT system for iron overload detection (2007) (8)
- Data mining in proteomic mass spectrometry (2006) (8)
- Generalized mutual information similarity metrics for multimodal biomedical image registration (2002) (8)
- Current Status of Computerized Decision Support Systems in Mammography (2005) (8)
- Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures (2008) (8)
- Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms (2007) (8)
- Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology (2017) (7)
- Point/counterpoint. Molecular breast imaging will soon replace x-ray mammography as the imaging modality of choice for women at high risk with dense breasts. (2009) (7)
- Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC (2019) (7)
- Design and Construction of a Prototype Rotation Modulation Collimator for Near-Field High-Energy Spectroscopic Gamma Imaging (2006) (7)
- DNA: directional neighborhood analysis for detection of breast masses in screening mammograms (2005) (7)
- Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts (2019) (6)
- Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis (2007) (6)
- Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy (2009) (6)
- Receiver Operating Characteristic Analysis: Basic Concepts and Practical Applications (2018) (6)
- An adaptive incremental approach to constructing ensemble classifiers: application in an information-theoretic computer-aided decision system for detection of masses in mammograms. (2009) (6)
- Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis (2016) (6)
- Knowledge-based detection of mammographic masses: analysis of the impact of database comprehensiveness (2005) (6)
- Exploring the potential of collaborative filtering for user-adaptive mammography education (2011) (6)
- Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources (2015) (6)
- Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis (2008) (6)
- Neural estimation of scatterer density in ultrasound (2002) (6)
- Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer (2018) (5)
- Temporal stability of visual search-driven biometrics (2015) (5)
- Dual Collimation Acquisition For High Resolution, Low Noise SPECT (1990) (5)
- Particle swarm optimization of neural network CAD systems with clinically relevant objectives (2007) (5)
- Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms (2007) (5)
- Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography (2006) (5)
- Detection of iron overload through neutron stimulated emission computed tomography: a sensitivity analysis study (2009) (5)
- Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping (2021) (5)
- Personalized modeling of human gaze: Exploratory investigation on mammogram readings (2013) (5)
- Reliability Assessment of Ensemble Classifiers: Application in Mammography (2008) (4)
- Medical Imaging 2016: Computer-Aided Diagnosis (2016) (4)
- A methodology for analysis extraction and visualization of CT scans (2003) (4)
- Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases (2003) (4)
- Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures (2007) (4)
- Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography (2016) (4)
- Semi-Supervised Information Extraction for Cancer Pathology Reports (2019) (4)
- Toward perceptually driven image retrieval in mammography: a pilot observer study to assess visual similarity of masses (2008) (4)
- Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening (2013) (4)
- Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology. (2022) (3)
- Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection (2008) (3)
- A novel technique for assessing the case-specific reliability of decisions made by CAD tools (2005) (3)
- Elemental spectrum of a mouse obtained via neutron stimulation (2007) (3)
- Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives (2005) (3)
- Predictive modeling of human perception subjectivity: feasibility study of mammographic lesion similarity (2012) (3)
- Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection (2008) (3)
- The Effect of Performance Data Sampling on the Evaluation of Artificial Neural Networks in Medical Diagnosis (1997) (3)
- Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans. (2020) (3)
- CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules (2018) (3)
- Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters (2019) (3)
- Estimation of generalized entropies with sample spacing (2005) (3)
- Unsupervised tissue segmentation in screening mammograms for automated breast density assessment (2004) (3)
- Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real‐World Evidence in the Era of Precision Oncology (2019) (3)
- BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology (2022) (3)
- Comparative analysis of data collection methods for individualized modeling of radiologists' visual similarity judgments in mammograms. (2013) (3)
- Deep learning enabled national cancer surveillance (2017) (3)
- Deep Gaze Velocity Analysis During Mammographic Reading for Biometric Identification of Radiologists (2018) (3)
- Significance of MPEG-7 Textural Features for Improved Mass Detection in Mammography (2006) (2)
- Quality evaluation of fast morphing interpolation model for 3D volume reconstruction (2005) (2)
- Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles (2020) (2)
- Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes (2007) (2)
- Medical Imaging 2015: Computer-Aided Diagnosis (2015) (2)
- Validation of a GEANT4 simulation of neutron stimulated emission computed tomography (2008) (2)
- A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results (2009) (2)
- On the development of a Gaussian noise model for scatter compensation (2007) (2)
- The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems (2009) (2)
- A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification (2022) (2)
- Detection of architectural distortion in mammograms using fractal analysis (2005) (2)
- Neutron-Based Imaging May Lead to Earlier Breast Cancer Diagnosis (2004) (2)
- Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports (2019) (2)
- Case-based reasoning as a computer aid to diagnosis (1999) (2)
- Application of neural networks to lesion detection in SPECT (1991) (2)
- Predictive Radiation Oncology – A New NCI–DOE Scientific Space and Community (2022) (2)
- Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis (2008) (2)
- Fractal analysis of radiologists' visual scanning pattern in screening mammography (2015) (2)
- Cone beam filtering using artificial neural networks (1991) (1)
- CAFCW 104 Deep Kernel Learning for Information Extraction from Cancer Pathology Reports (2019) (1)
- Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing (2019) (1)
- Modeling sequential context effects in diagnostic interpretation of screening mammograms (2018) (1)
- Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System (2008) (1)
- AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. (2022) (1)
- A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data (2019) (1)
- Use of genetic algorithms for computer-aided diagnosis of breast cancers from image features (1996) (1)
- User modeling for improved computer-aided training in radiology: initial experience (2010) (1)
- Modeling error in assessment of mammographic image features for improved computer-aided mammography training: initial experience (2011) (1)
- A novel graphical user interface for high-efficacy modeling of human perceptual similarity opinions (2013) (1)
- A cost-effective, case-control study on the association between breast cancer and pregnancy through web mining (2013) (1)
- Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms (2007) (1)
- An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions (1997) (1)
- Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics (2016) (1)
- Incorporation of a multiscale texture-based approach to mutual information matching for improved knowledge-based detection of masses in screening mammograms (2007) (1)
- Relational representation for improved decisions with an information-theoretic CADe system: initial experience (2009) (1)
- Confidence-based stratification of CAD recommendations with application to breast cancer detection (2006) (1)
- Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation (2010) (1)
- Spectral characterization of mammographic tissue for computer aided diagnosis of malignant masses (2002) (1)
- Neutron stimulated emission computed tomography: 2D planar reconstruction of high-energy gammas (2007) (1)
- A novel local learning based approach with application to breast cancer diagnosis (2012) (1)
- Lesion size quantification in SPECT using learning vector quantizer (1992) (0)
- Investigating Sociodemographic Disparities in Cancer Risk Using Web-Based Informatics (2018) (0)
- Cancer Epidemiology in the 21 st Century Transforming Epidemiology for 21 st Century Medicine and Public Health (2013) (0)
- Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling (2017) (0)
- Guest Editorial: AI Enabled Connected Health Informatics (2019) (0)
- Cooperative Research and Development Agreement With Georgetown University Report: National Institutes of Health, National Center for Advancing Translational Sciences Clinical and Translational Science Award (2020) (0)
- Letter to the Editor: Use of Publicly Available Image Resources. (2017) (0)
- Adversarial Training for Privacy-Preserving Deep Learning Model Distribution (2019) (0)
- US Department of Energy, Office of Science High Performance Computing Facility Operational Assessment 2019 Oak Ridge Leadership Computing Facility (2020) (0)
- TU-D-330A-08: Information-Theoretic CAD System in Mammography: Investigation of An Entropy-Based Indexing Scheme for Improved Computational Efficiency and Robust Performance (2006) (0)
- Scalable deep text comprehension for Cancer surveillance on high-performance computing (2018) (0)
- Optimization of a rotating modulation collimator for neutron stimulated emission computed tomography (NSECT) imaging (2007) (0)
- Position Papers for the ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, and Communication (2022) (0)
- The United States department of energy and national institutes of health collaboration: medical care advances via discovery in physical sciences. (2023) (0)
- Computer Aided Diagnosisin Thoracic and酌 質anlnographic Radiology (2005) (0)
- Fast search and localization algorithm based on human visual perception modeling: an application for fast localization of structures in mammograms (2003) (0)
- Why I'm not Answering (2020) (0)
- Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map (2009) (0)
- Towards the Detection of Architecture Distortion in Mammograms: A Review (2018) (0)
- A Constraint Satisfaction Neural Network Approach for Data Mining Classification and Association Rules in Breast Cancer Databases (2003) (0)
- 2021 Operational Assessment - OLCF (2022) (0)
- Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation (2000) (0)
- Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports (2022) (0)
- Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks (2019) (0)
- Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing (2018) (0)
- Java interface to a computer-aided diagnosis system for acute pulmonary embolism using PIOPED findings (1999) (0)
- Computational Intelligence in Patient-Sensitive Medical Decision Systems Report from Walter Karplus Summer Research (2008) (0)
- Case-Based CAD Systems in Breast Imaging (2015) (0)
- Deep active learning for classifying cancer pathology reports (2021) (0)
- In reply (1998) (0)
- Visualization for Scientific Discovery, Decision-Making, and Communication (2022) (0)
- CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules (2018) (0)
- BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets. (2023) (0)
- Developing personalized decision support tools in radiology (2013) (0)
- Computational medicine: Grand challenges and opportunities for revolutionizing personalized healthcare (2023) (0)
- Computer-aided prediction of breast implant rupture based on mammographic findings (1995) (0)
- Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports (2020) (0)
- Adapted morphing model for 3D volume reconstruction applied to abdominal CT images (2005) (0)
- Computer-aided detection using non-convolutional neural network Gaussian processes (2019) (0)
- Artificial neural networks as a computer aid for lung disease detection and classification in ventilation-perfusion lung scans (2001) (0)
- Three-dimensional lesion detection in SPECT using artificial neural networks (1994) (0)
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