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Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Neural networks, 2008-03, Vol.21 (2-3), p.427-436

2008

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Scalable deep text comprehension for Cancer surveillance on high-performance computing

BMC bioinformatics, 2018-12, Vol.19 (Suppl 18), p.488-488, Article 488

2018

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Predicting diagnostic error in radiology via eye-tracking and image analytics: Preliminary investigation in mammography

Medical physics (Lancaster), 2013-10, Vol.40 (10), p.101906-n/a

2013

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Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms

Medical physics (Lancaster), 2007-01, Vol.34 (1), p.140-150

2007

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Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis

Journal of biomedical informatics, 2011-10, Vol.44 (5), p.815-823

2011

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Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports

IEEE journal of biomedical and health informatics, 2018-01, Vol.22 (1), p.244-251

2018

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Hierarchical attention networks for information extraction from cancer pathology reports

Journal of the American Medical Informatics Association : JAMIA, 2018-03, Vol.25 (3), p.321-330

2018

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Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information

Medical physics (Lancaster), 2003-08, Vol.30 (8), p.2123-2130

2003

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A Concentric Morphology Model for the Detection of Masses in Mammography

IEEE transactions on medical imaging, 2007-06, Vol.26 (6), p.880-889

2007

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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types

Journal of biomedical informatics, 2022-01, Vol.125 (1), p.103957-103957, Article 103957

2022

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Identifying Error-making Patterns in Assessment of Mammographic BI-RADS Descriptors among Radiology Residents Using Statistical Pattern Recognition

Academic radiology, 2012-07, Vol.19 (7), p.865-871

2012

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Deep learning uncertainty quantification for clinical text classification

Journal of biomedical informatics, 2024-01, Vol.149, p.104576-104576, Article 104576

2024

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A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification

IEEE journal of biomedical and health informatics, 2022-06, Vol.26 (6), p.2796-2803

2022

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Fractal analysis of visual search activity for mass detection during mammographic screening

Medical physics (Lancaster), 2017-03, Vol.44 (3), p.832-846

2017

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Recent advances in chest radiography

Radiology, 2006-12, Vol.241 (3), p.663-683

2006

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Self-organizing map for cluster analysis of a breast cancer database

Artificial intelligence in medicine, 2003-02, Vol.27 (2), p.113-127

2003

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Evaluating the Effect of Image Preprocessing on an Information-Theoretic CAD System in Mammography

Academic radiology, 2008-05, Vol.15 (5), p.626-634

2008

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Methodology for generating a 3D computerized breast phantom from empirical data

Medical physics (Lancaster), 2009-07, Vol.36 (7), p.3122-3131

2009

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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

Journal of biomedical informatics, 2020-10, Vol.110 (C), p.103564-103564, Article 103564

2020

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LUNGx Challenge for computerized lung nodule classification

Journal of medical imaging (Bellingham, Wash.), 2016-10, Vol.3 (4), p.044506-044506

2016

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Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology

Cancer biomarkers : section A of Disease markers, 2022-01, Vol.33 (2), p.185-198

2022

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Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real‐World Evidence in the Era of Precision Oncology

Clinical pharmacology and therapeutics, 2019-07, Vol.106 (1), p.60-66

2019

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The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support

Neural networks, 2012-01, Vol.25 (1), p.141-145

2012

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Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

Journal of medical imaging (Bellingham, Wash.), 2015-04, Vol.2 (2), p.020103-020103

2015

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Application of the mutual information criterion for feature selection in computer-aided diagnosis

Medical physics (Lancaster), 2001-12, Vol.28 (12), p.2394-2402

2001

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Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

Scalable deep text comprehension for Cancer surveillance on high-performance computing

Predicting diagnostic error in radiology via eye-tracking and image analytics: Preliminary investigation in mammography

Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms

Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis

Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports

Hierarchical attention networks for information extraction from cancer pathology reports

Computer-assisted detection of mammographic masses: A template matching scheme based on mutual information

A Concentric Morphology Model for the Detection of Masses in Mammography

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types

Identifying Error-making Patterns in Assessment of Mammographic BI-RADS Descriptors among Radiology Residents Using Statistical Pattern Recognition

Deep learning uncertainty quantification for clinical text classification

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification

Fractal analysis of visual search activity for mass detection during mammographic screening

Recent advances in chest radiography

Self-organizing map for cluster analysis of a breast cancer database

Evaluating the Effect of Image Preprocessing on an Information-Theoretic CAD System in Mammography

Methodology for generating a 3D computerized breast phantom from empirical data

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

LUNGx Challenge for computerized lung nodule classification

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology

Harnessing the Power of Collaboration and Training Within Clinical Data Science to Generate Real‐World Evidence in the Era of Precision Oncology

The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support

Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

Application of the mutual information criterion for feature selection in computer-aided diagnosis

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