| Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks A Cruz-Roa, A Basavanhally, F González, H Gilmore, M Feldman, ... Medical Imaging 2014: Digital Pathology 9041, 904103, 2014 | 735 | 2014 |
| Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, ... Scientific reports 7 (1), 46450, 2017 | 550 | 2017 |
| Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ... Journal of Medical Imaging 1 (3), 034003-034003, 2014 | 421 | 2014 |
| Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology AN Basavanhally, S Ganesan, S Agner, JP Monaco, MD Feldman, ... IEEE Transactions on biomedical engineering 57 (3), 642-653, 2009 | 342 | 2009 |
| Expectation–maximization-driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology H Fatakdawala, J Xu, A Basavanhally, G Bhanot, S Ganesan, M Feldman, ... IEEE Transactions on Biomedical Engineering 57 (7), 1676-1689, 2010 | 260 | 2010 |
| Stain normalization using sparse autoencoders (StaNoSA): application to digital pathology A Janowczyk, A Basavanhally, A Madabhushi Computerized Medical Imaging and Graphics 57, 50-61, 2017 | 223 | 2017 |
| Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data A Madabhushi, S Agner, A Basavanhally, S Doyle, G Lee Computerized medical imaging and graphics 35 (7-8), 506-514, 2011 | 164 | 2011 |
| Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides A Basavanhally, S Ganesan, M Feldman, N Shih, C Mies, J Tomaszewski, ... IEEE transactions on biomedical engineering 60 (8), 2089-2099, 2013 | 152 | 2013 |
| High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection A Cruz-Roa, H Gilmore, A Basavanhally, M Feldman, S Ganesan, N Shih, ... PloS one 13 (5), e0196828, 2018 | 149 | 2018 |
| Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection H Wang, A Cruz-Roa, A Basavanhally, H Gilmore, N Shih, M Feldman, ... Medical Imaging 2014: Digital Pathology 9041, 66-75, 2014 | 142 | 2014 |
| In vivo gated 4D imaging of the embryonic heart using optical coherence tomography MW Jenkins, OQ Chughtai, AN Basavanhally, M Watanabe, AM Rollins Journal of biomedical optics 12 (3), 030505-030505-3, 2007 | 122 | 2007 |
| Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods A Basavanhally, E Yu, J Xu, S Ganesan, M Feldman, J Tomaszewski, ... Medical imaging 2011: Computer-aided diagnosis 7963, 305-319, 2011 | 80 | 2011 |
| Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX A Basavanhally, M Feldman, N Shih, C Mies, J Tomaszewski, S Ganesan, ... Journal of pathology informatics 2 (2), 1, 2012 | 70 | 2012 |
| EM-based segmentation-driven color standardization of digitized histopathology A Basavanhally, A Madabhushi Medical Imaging 2013: Digital Pathology 8676, 152-163, 2013 | 62 | 2013 |
| Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging G Alexe, J Monaco, S Doyle, A Basavanhally, A Reddy, M Seiler, ... Experimental Biology and Medicine 234 (8), 860-879, 2009 | 52 | 2009 |
| Integrated diagnostics: a conceptual framework with examples A Madabhushi, S Doyle, G Lee, A Basavanhally, J Monaco, S Masters, ... Clinical chemistry and laboratory medicine 48 (7), 989-998, 2010 | 50 | 2010 |
| System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis A Madabhushi, J Monaco, J Tomaszewski, M Feldman, A Basavanhally US Patent 8,718,340, 2014 | 45 | 2014 |
| Estimation of smooth growth trajectories with controlled acceleration from time series shape data J Fishbaugh, S Durrleman, G Gerig International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 44* | 2011 |
| Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with oncotype DX assay A Basavanhally, J Xu, A Madabhushi, S Ganesan 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 43 | 2009 |
| A boosted distance metric: application to content based image retrieval and classification of digitized histopathology J Naik, S Doyle, A Basavanhally, S Ganesan, MD Feldman, ... Medical Imaging 2009: Computer-Aided Diagnosis 7260, 972-983, 2009 | 37 | 2009 |
