| 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 | 1089 | 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 | 301 | 2001 |
| Journey toward computer-aided diagnosis: role of image texture analysis GD Tourassi Radiology 213 (2), 317-320, 1999 | 284 | 1999 |
| Recent Advances in Chest Radiography1 HP McAdams, E Samei, J Dobbins III, GD Tourassi, CE Ravin Radiology 241 (3), 663-683, 2006 | 254 | 2006 |
| 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 | 248 | 2007 |
| 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 | 219 | 2003 |
| SPIE-AAPM-NCI lung nodule classification challenge dataset SG Armato III, L Hadjiiski, GD Tourassi, K Drukker, ML Giger, F Li, ... (No Title), 2015 | 197 | 2015 |
| Artificial intelligence in cancer research, diagnosis and therapy O Elemento, C Leslie, J Lundin, G Tourassi Nature Reviews Cancer 21 (12), 747-752, 2021 | 191 | 2021 |
| 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 | 179 | 2013 |
| 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 | 164 | 2018 |
| 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 | 161 | 2003 |
| Use of natural language processing to extract clinical cancer phenotypes from electronic medical records GK Savova, I Danciu, F Alamudun, T Miller, C Lin, DS Bitterman, ... Cancer research 79 (21), 5463-5470, 2019 | 154 | 2019 |
| Transforming epidemiology for 21st century medicine and public health MJ Khoury, TK Lam, JPA Ioannidis, P Hartge, MR Spitz, JE Buring, ... Cancer epidemiology, biomarkers & prevention 22 (4), 508-516, 2013 | 154 | 2013 |
| Limitations of transformers on clinical text classification S Gao, M Alawad, MT Young, J Gounley, N Schaefferkoetter, HJ Yoon, ... IEEE journal of biomedical and health informatics 25 (9), 3596-3607, 2021 | 152 | 2021 |
| 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 | 151 | 2017 |
| 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 | 147 | 2007 |
| 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 | 138 | 2009 |
| LUNGx Challenge for computerized lung nodule classification SG Armato III, K Drukker, F Li, L Hadjiiski, GD Tourassi, RM Engelmann, ... Journal of Medical Imaging 3 (4), 044506-044506, 2016 | 136 | 2016 |
| Acute pulmonary embolism: artificial neural network approach for diagnosis. GD Tourassi, CE Floyd, HD Sostman, RE Coleman Radiology 189 (2), 555-558, 1993 | 133 | 1993 |
| Medical imaging 2017: computer-aided diagnosis SG Armato, NA Petrick Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series …, 2017 | 127* | 2017 |