| 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 | 1086 | 2008 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 399 | 2020 |
| Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon. JA Baker, PJ Kornguth, JY Lo, ME Williford, CE Floyd Jr Radiology 196 (3), 817-822, 1995 | 333 | 1995 |
| Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion JA Baker, EL Rosen, JY Lo, EI Gimenez, R Walsh, MS Soo American Journal of Roentgenology 181 (4), 1083-1088, 2003 | 313 | 2003 |
| A knowledge-based approach to improving and homogenizing intensity modulated radiation therapy planning quality among treatment centers: an example application to prostate … D Good, J Lo, WR Lee, QJ Wu, FF Yin, SK Das International Journal of Radiation Oncology* Biology* Physics 87 (1), 176-181, 2013 | 263 | 2013 |
| Breast tomosynthesis: state-of-the-art and review of the literature JA Baker, JY Lo Academic radiology 18 (10), 1298-1310, 2011 | 263 | 2011 |
| Prediction of breast cancer malignancy using an artificial neural network CE Floyd Jr, JY Lo, AJ Yun, DC Sullivan, PJ Kornguth Cancer: Interdisciplinary International Journal of the American Cancer …, 1994 | 258 | 1994 |
| Knowledge‐based IMRT treatment planning for prostate cancer V Chanyavanich, SK Das, WR Lee, JY Lo Medical physics 38 (5), 2515-2522, 2011 | 242 | 2011 |
| A framework for optimising the radiographic technique in digital X-ray imaging E Samei, JT Dobbins III, JY Lo, MP Tornai Radiation Protection Dosimetry 114 (1-3), 220-229, 2005 | 200 | 2005 |
| Virtual clinical trials in medical imaging: a review E Abadi, WP Segars, BMW Tsui, PE Kinahan, N Bottenus, AF Frangi, ... Journal of Medical Imaging 7 (4), 042805-042805, 2020 | 198 | 2020 |
| Breast Mass Lesions: Computer-aided Diagnosis Models with Mammographic and Sonographic Descriptors1 JL Jesneck, JY Lo, JA Baker Radiology 244 (2), 390-398, 2007 | 159 | 2007 |
| 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 | 159 | 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 | 148 | 2007 |
| Digital breast tomosynthesis using an amorphous selenium flat panel detector M Bissonnette, M Hansroul, E Masson, S Savard, S Cadieux, P Warmoes, ... Medical Imaging 2005: Physics of Medical Imaging 5745, 529-540, 2005 | 144 | 2005 |
| Optimization of exposure parameters in full field digital mammography MB Williams, P Raghunathan, MJ More, JA Seibert, A Kwan, JY Lo, ... Medical physics 35 (6Part1), 2414-2423, 2008 | 137 | 2008 |
| Artificial neural network: improving the quality of breast biopsy recommendations. JA Baker, PJ Kornguth, JY Lo, CE Floyd Jr Radiology 198 (1), 131-135, 1996 | 132 | 1996 |
| A case-based interpretable deep learning model for classification of mass lesions in digital mammography AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin Nature Machine Intelligence 3 (12), 1061-1070, 2021 | 127 | 2021 |
| Development of realistic physical breast phantoms matched to virtual breast phantoms based on human subject data N Kiarashi, AC Nolte, GM Sturgeon, WP Segars, SV Ghate, LW Nolte, ... Medical physics 42 (7), 4116-4126, 2015 | 126 | 2015 |
| Efficient Fourier-wavelet super-resolution MD Robinson, CA Toth, JY Lo, S Farsiu IEEE Transactions on Image Processing 19 (10), 2669-2681, 2010 | 120 | 2010 |
| Predicting breast cancer invasion with artificial neural networks on the basis of mammographic features. JY Lo, JA Baker, PJ Kornguth, JD Iglehart, CE Floyd Jr Radiology 203 (1), 159-163, 1997 | 120 | 1997 |
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