| Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance MA Mazurowski, PA Habas, JM Zurada, JY Lo, JA Baker, GD Tourassi Neural networks 21 (2-3), 427-436, 2008 | 707 | 2008 |
| Application of the mutual information criterion for feature selection in computer‐aided diagnosis GD Tourassi, ED Frederick, MK Markey, CE Floyd Jr Medical physics 28 (12), 2394-2402, 2001 | 265 | 2001 |
| Journey toward computer-aided diagnosis: role of image texture analysis GD Tourassi Radiology 213 (2), 317-320, 1999 | 219 | 1999 |
| A concentric morphology model for the detection of masses in mammography NH Eltonsy, GD Tourassi, AS Elmaghraby IEEE transactions on medical imaging 26 (6), 880-889, 2007 | 204 | 2007 |
| Recent Advances in Chest Radiography1 HP McAdams, E Samei, J Dobbins III, GD Tourassi, CE Ravin Radiology 241 (3), 663-683, 2006 | 201 | 2006 |
| Computer‐assisted detection of mammographic masses: A template matching scheme based on mutual information GD Tourassi, R Vargas‐Voracek, DM Catarious Jr, CE Floyd Jr Medical physics 30 (8), 2123-2130, 2003 | 200 | 2003 |
| Self-organizing map for cluster analysis of a breast cancer database MK Markey, JY Lo, GD Tourassi, CE Floyd Jr Artificial Intelligence in Medicine 27 (2), 113-127, 2003 | 141 | 2003 |
| Evaluation of information‐theoretic similarity measures for content‐based retrieval and detection of masses in mammograms GD Tourassi, B Harrawood, S Singh, JY Lo, CE Floyd Medical Physics 34 (1), 140-150, 2007 | 136 | 2007 |
| Transforming epidemiology for 21st century medicine and public health MJ Khoury, TK Lam, JPA Ioannidis, P Hartge, MR Spitz, JE Buring, ... Cancer Epidemiology and Prevention Biomarkers 22 (4), 508-516, 2013 | 133 | 2013 |
| Methodology for generating a 3D computerized breast phantom from empirical data CM Li, WP Segars, GD Tourassi, JM Boone, JT Dobbins III Medical physics 36 (7), 3122-3131, 2009 | 122 | 2009 |
| Acute pulmonary embolism: artificial neural network approach for diagnosis. GD Tourassi, CE Floyd, HD Sostman, RE Coleman Radiology 189 (2), 555-558, 1993 | 121 | 1993 |
| A study on the computerized fractal analysis of architectural distortion in screening mammograms GD Tourassi, DM Delong, CE Floyd Jr Physics in Medicine & Biology 51 (5), 1299, 2006 | 96 | 2006 |
| Evaluation of computer‐aided detection and diagnosis systemsa) N Petrick, B Sahiner, SG Armato III, A Bert, L Correale, S Delsanto, ... Medical physics 40 (8), 087001, 2013 | 94 | 2013 |
| Decision tree classification of proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer MK Markey, GD Tourassi, CE Floyd Jr Proteomics 3 (9), 1678-1679, 2003 | 76 | 2003 |
| Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions CE Floyd Jr, JY Lo, GD Tourassi American Journal of Roentgenology 175 (5), 1347-1352, 2000 | 73 | 2000 |
| The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis GD Tourassi, CE Floyd Medical Decision Making 17 (2), 186-192, 1997 | 73 | 1997 |
| Deep learning for automated extraction of primary sites from cancer pathology reports JX Qiu, HJ Yoon, PA Fearn, GD Tourassi IEEE journal of biomedical and health informatics 22 (1), 244-251, 2017 | 72 | 2017 |
| Introduction to neutron stimulated emission computed tomography CE Floyd Jr, JE Bender, AC Sharma, A Kapadia, J Xia, B Harrawood, ... Physics in Medicine & Biology 51 (14), 3375, 2006 | 68 | 2006 |
| Hierarchical attention networks for information extraction from cancer pathology reports S Gao, MT Young, JX Qiu, HJ Yoon, JB Christian, PA Fearn, GD Tourassi, ... Journal of the American Medical Informatics Association 25 (3), 321-330, 2018 | 64 | 2018 |
| Artificial neural network for diagnosis of acute pulmonary embolism: effect of case and observer selection. GD Tourassi, CE Floyd, HD Sostman, RE Coleman Radiology 194 (3), 889-893, 1995 | 63 | 1995 |
