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2021
Peyster, EG, Arabyarmohammadi S, Janowczyk A, Azarianpour-Esfahani S, Sekulic M, Cassol C, Blower L, Parwani A, Lal P, Feldman MD et al..  2021.  An automated computational image analysis pipeline for histological grading of cardiac allograft rejection.. European heart journal. Abstract
2020
Yan, C, Nakane K, Wang X, Fu Y, Lu H, Fan X, Feldman MD, Madabhushi A, Xu J.  2020.  Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.. Computer methods and programs in biomedicine. 194:105528. Abstract
Madabhushi, A, Feldman MD, Leo P.  2020.  Deep-learning approaches for Gleason grading of prostate biopsies.. The Lancet. Oncology. 21(2):187-189.
2018
Nirschl, JJ, Janowczyk A, Peyster EG, Frank R, Margulies KB, Feldman MD, Madabhushi A.  2018.  A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.. PloS one. 13(4):e0192726. Abstract
2016
Leo, P, Lee G, Shih NNC, Elliott R, Feldman MD, Madabhushi A.  2016.  Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.. Journal of medical imaging (Bellingham, Wash.). 3(4):047502. Abstract
Leo, P, Lee G, Shih NNC, Elliott R, Feldman MD, Madabhushi A.  2016.  Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.. Journal of medical imaging (Bellingham, Wash.). 3(4):047502. Abstract
2015
Litjens, GJS, Elliott R, Shih NNC, Feldman MD, Kobus T, Hulsbergen-van de Kaa C, Barentsz JO, Huisman HJ, Madabhushi A.  2015.  Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.. Radiology. :142856. Abstract
2014
Agner, SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A.  2014.  Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.. Radiology. 272(1):91-99. Abstract
Lee, G, Sparks R, Ali S, Shih NNC, Feldman MD, Spangler E, Rebbeck T, Tomaszewski JE, Madabhushi A.  2014.  Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.. PloS one. 9(5):e97954. Abstract
Toth, RJ, Shih N, Tomaszewski JE, Feldman MD, Kutter O, Yu DN, Paulus JC, Paladini G, Madabhushi A.  2014.  Histostitcher™: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.. Journal of pathology informatics. 5:8. Abstract
2013
Ghaznavi, F, Evans A, Madabhushi A, Feldman MD.  2013.  Digital imaging in pathology: whole-slide imaging and beyond.. Annual review of pathology. 8:331-59. Abstract
Basavanhally, A, Ganesan S, Feldman MD, Shih N, Mies C, Tomaszewski JE, Madabhushi A.  2013.  Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.. IEEE transactions on bio-medical engineering. 60(8):2089-99. Abstract
Lee, G, Sparks R, Ali S, Madabhushi A, Feldman MD, Master SR, Shih N, Tomaszewski JE.  2013.  Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. IEEE International Symposium on Biomedical Imaging (ISBI). :113-116.
Singanamalli, A, Sparks R, Rusu M, Shih N, Ziober A, Tomaszewski JE, Rosen M, Feldman MD, Madabhushi A.  2013.  Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. SPIE Medical Imaging. 8676:867604-867604-14.
2012
Doyle, S, Feldman MD, Tomaszewski JE, Madabhushi A.  2012.  A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.. IEEE transactions on bio-medical engineering. 59(5):1205-18. Abstract
Doyle, S, Feldman MD, Shih N, Tomaszewski JE, Madabhushi A.  2012.  Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.. BMC bioinformatics. 13:282. Abstract
Hipp, J, Monaco JP, Kunju LP, Cheng J, Yagi Y, Rodriguez-Canales J, Emmert-Buck M, Hewitt S, Feldman MD, Tomaszewski JE et al..  2012.  Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.. Analytical cellular pathology. Abstract
Janowczyk, A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A.  2012.  High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts.. IEEE Transactions on Bio-Medical Engineering. 59(5):1240-1252. Abstract
Toth, R, Chappelow J, Vetter C, Kutter O, Russ C, Feldman MD, Tomaszewski JE, Shih N, Madabhushi A.  2012.  Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. SPIE Medical Imaging. 8315:83151K.
2011
Yu, E, Monaco JP, Tomaszewski JE, Shih N, Feldman MD, Madabhushi A.  2011.  Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. IEEE International Conference of Engineering in Medicine and Biology Society (EMBS). :3427-3430.
Patel, P, Chappelow J, Tomaszewski JE, Feldman MD, Rosen M, Shih N, Madabhushi A.  2011.  Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. IEEE International Conference of Engineering in Medicine and Biology Society (EMBS). :6269-6272.
Golugula, A, Lee G, Master SR, Feldman MD, Tomaszewski JE, Madabhushi A.  2011.  Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. IEEE International Conference of Engineering in Medicine and Biology Society (EMBS). :6434-6437.
Doyle, S, Monaco JP, Feldman MD, Tomaszewski JE, Madabhushi A.  2011.  An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC bioinformatics. 12(1):424. Abstract
Basavanhally, A, Ganesan S, Shih N, Mies C, Feldman MD, Tomaszewski JE, Madabhushi A.  2011.  A Boosted Classifier For Integrating Multiple Fields Of View: Breast Cancer Grading In Histopathology. IEEE International Symposium on Biomedical Imaging (ISBI). :125-128. Abstract
Doyle, S, Feldman MD, Tomaszewski JE, Shih N, Madabhushi A.  2011.  Cascaded Multi-Class Pairwise Classifier (CascaMPa) For Normal, Cancerous, And Cancer Confounder Classes In Prostate Histology. IEEE International Symposium on Biomedical Imaging (ISBI). :715-718. Abstract
Golugula, A, Lee G, Master SR, Feldman MD, Tomaszewski JE, Speicher DW, Madabhushi A.  2011.  Supervised Regularized Canonical Correlation Analysis: Integrating Histologic and Proteomic Measurements for Predicting Biochemical Recurrence Following Prostate Surgery.. BMC bioinformatics. 12:483. Abstract
Xiao, G, Bloch NB, Chappelow J, Genega EM, Rofsky NM, Lenkinski RE, Tomaszewski JE, Feldman MD, Rosen M, Madabhushi A.  2011.  Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Computerized Medical Imaging and Graphics. 35(7-8):568-578. Abstract
Chappelow, J, Tomaszewski JE, Feldman MD, Shih N, Madabhushi A.  2011.  HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Computerized Medical Imaging and Graphics. 35(7-8):557-567. Abstract
Basavanhally, A, Feldman MD, Shih N, Mies C, Tomaszewski JE, Ganesan S, Madabhushi A.  2011.  Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.. J Pathol Inform. 2(13)
Hipp, J, Cheng J, Pantanowitz L, Hewitt S, Yagi Y, Monaco JP, Madabhushi A, Rodriguez-Canales J, Hanson J, Roy-Chowdhuri S et al..  2011.  Image microarrays (IMA): Digital pathology's missing tool. Journal of Pathology Informatics. 2:47.
Basavanhally, A, Yu E, Xu J, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A.  2011.  Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. SPIE Medical Imaging. 7963:796310.
Janowczyk, A, Chandran S, Feldman MD, Madabhushi A.  2011.  Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. SPIE Medical Imaging. 7962:79622N.
2010
Madabhushi, A, Doyle S, Lee G, Basavanhally A, Monaco JP, Master SR, Tomaszewski JE, Feldman MD.  2010.  Review: Integrated diagnostics: a conceptual framework with examples. Clinical Chemistry and Laboratory Medicine. 48(7):989-998. Abstract
Basavanhally, A, Ganesan S, Agner SC, Monaco JP, Feldman MD, Tomaszewski JE, Bhanot G, Madabhushi A.  2010.  Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.. IEEE Transactions on Biomedical Engineering. 57(3):642-653. Abstract
Fatakdawala, H, Xu J, Basavanhally A, Bhanot G, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A.  2010.  Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.. IEEE Transactions on Biomedical Engineering. 57(7):1676-1689. Abstract
Doyle, S, Monaco JP, Madabhushi A, Lindholm S, Ljung P, Ladic L, Tomaszewski JE, Feldman MD.  2010.  Evaluation of effects of JPEG2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. IEEE International Symposium on Biomedical Imaging (ISBI). :1313-1316.
Monaco, JP, Tomaszewski JE, Feldman MD, Hagemann I, Moradi, M, Mousavi P, Boag A, Davidson, C, Abolmaesumi P, Madabhushi A.  2010.  High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.. Medical Image Analysis. 14(4):617-629. Abstract
Chappelow, J, Both S, Viswanath SE, Hahn S, Feldman MD, Rosen M, Tomaszewski JE, Vapiwala N, Patel P, Madabhushi A.  2010.  Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. SPIE Medical Imaging. 7625:76252C.
Xu, J, Sparks R, Janowczyk A, Tomaszewski JE, Feldman MD, Madabhushi A.  2010.  High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Workshop on Prostate Cancer Imaging: Computer-Aided Diagnosis, Prognosis, and Intervention (in conjunction with MICCAI). 6367:77-88.
2009
Naik, J, Doyle S, Basavanhally A, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A.  2009.  A Boosted Distance Metric: Application to Content Based Image Retrieval and Classification of Digitized Histopathology. SPIE Medical Imaging. 7260
Fatakdawala, H, Basavanhally A, Xu J, Bhanot G, Ganesan S, Feldman MD, Tomaszewski JE, Madabhushi A.  2009.  Expectation Maximization Driven Geodesic Active Contour: Application to Lymphocyte Segmentation on Digitized Breast Cancer Histopathology. IEEE International Conference on Bioinformatics and Bioengineering (BIBE). :69-76.
Tomaszewski, JE, Feldman MD, Madabhushi A.  2009.  Fused Diagnostics. Critical Values. 2(3):18-22.
Janowczyk, A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A.  2009.  Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 5761:230-238. Abstract
Lee, G, Monaco JP, Doyle S, Master SR, Feldman MD, Tomaszewski JE, Madabhushi A.  2009.  A knowledge representation framework for integration, classification of multi-scale imaging and non-imaging data: Preliminary results in predicting prostate cancer recurrence by fusing mass spectrometry and histology. IEEE International Symposium on Biomedical Imaging (ISBI). :77-80.
Doyle, S, Madabhushi A, Feldman MD, Tomaszewski JE, Monaco JP.  2009.  A Novel Active Learning Methodology that accounts for Minority Class Problems: Applications to Histopathology. Workshop on Optical Tissue Image analysis in Microscopy, Histopathology and Endoscopy (OPTIMHisE) (in conjunction with MICCAI).
Monaco, JP, Tomaszewski JE, Feldman MD, Moradi, M, Mousavi P, Boag A, Davidson, C, Abolmaesumi P, Madabhushi A.  2009.  Probabilistic Pair-wise Markov Models: Application to Prostate Cancer Detection. SPIE Medical Imaging. 7260
Agner, SC, Xu J, Fatakdawala H, Ganesan S, Madabhushi A, Englander S, Rosen M, Thomas K, Schnall M, Feldman MD et al..  2009.  Segmentation and classification of triple negative breast cancers using DCE-MRI. IEEE International Symposium on Biomedical Imaging (ISBI). :1227-1230.
2008
Naik, S, Doyle S, Agner SC, Madabhushi A, Tomaszewski JE, Feldman MD.  2008.  Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. Special Workshop on Computational Histopathology (in conjunction with ISBI). :284-287.
Doyle, S, Agner SC, Madabhushi A, Feldman MD, Tomaszewski JE.  2008.  Automated grading of breast cancer histopathology using spectral clustering with textural and architectural image features. IEEE International Symposium on Biomedical Imaging (ISBI). :496-499.
Monaco, JP, Tomaszewski JE, Feldman MD, Moradi, M, Mousavi P, Boag A, Davidson, C, Abolmaesumi P, Madabhushi A.  2008.  Detection of Prostate Cancer from Whole-Mount Histology Images Using Markov Random Fields. Workshop on Microscopic Image Analysis with Applications in Biology (in conjunction with MICCAI) .
Chappelow, J, Viswanath SE, Madabhushi A, Rosen M, Tomaszewski JE, Feldman MD.  2008.  Improving Supervised Classification Accuracy using Non-rigid Multimodal Image Registration: Computer-Aided Detection of Prostate Cancer on ex vivo MRI. SPIE Medical Imaging. 6915
2007
Naik, S, Doyle S, Madabhushi A, Tomaszewski JE, Feldman MD.  2007.  Automated Gland Segmentation and Gleason Grading of Prostate Histology by Integrating Low-, High-level and Domain Specific Information. Workshop on Microscopic Image Analysis with Applications in Biology.
Doyle, S, Hwang, M, Shah, K, Madabhushi A, Tomaszewski JE, Feldman MD.  2007.  Automated Grading of Prostate Cancer using Architectural and Textural Image Features. IEEE International Symposium on Biomedical Imaging (ISBI). :1284-87.
Chappelow, J, Madabhushi A, Rosen M, Tomaszewski JE, Feldman MD.  2007.  A Combined Feature Ensemble based Mutual Information Scheme for robust Inter-Modal, Inter-Protocol Image Registration. IEEE International Symposium on Biomedical Imaging (ISBI). :644-47.
Chappelow, J, Madabhushi A, Rosen M, Tomaszewski JE, Feldman MD.  2007.  Multimodal Image Registration of ex vivo 4 Tesla Prostate MRI with Whole Mount Histology for Cancer Detection. SPIE Medical Imaging. 6512(1):S1-S12.
Naik, S, Tomaszewski JE, Feldman MD, Madabhushi A.  2007.  A Quantitative Exploration of Efficacy of Gland Morphology in Prostate Cancer Grading. IEEE North-East Bioengineering Conference (NEBEC). :58-59.
Doyle, S, Hwang, M, Naik S, Feldman MD, Tomaszewski JE, Madabhushi A.  2007.  Using manifold learning for content-based image retrieval of prostate histopathology. Workshop on Content-Based Image Retrieval for Biomedical Image Archives (in conjunction with MICCAI). :53-62.
2006
Doyle, S, Madabhushi A, Feldman MD, Tomaszewski JE.  2006.  A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 4191:504-11. Abstract
Madabhushi, A, Shi J, Rosen M, Tomaszewski JE, Feldman MD.  2006.  Comparing Classification Performance of Feature Ensembles: Detecting Prostate Cancer from High Resolution MRI. Computer Vision Methods in Medical Image Analysis (In conjunction with ECCV). 4241:25-36.
Doyle, S, Rodriguez C, Madabhushi A, Tomaszewski JE, Feldman MD.  2006.  Detecting Prostatic Adenocarcinoma from Digitized Histology Using a Multi-Scale, Hierarchical Classification Approach. IEEE International Conference of Engineering in Medicine and Biology Society (EMBS). 1:4759-62. Abstract
Madabhushi, A, Rosen M, Tomaszewski JE, Feldman MD.  2006.  Eliminating mislabeled training instances: Detecting Prostate Cancer from High Resolution MRI. Workshop on Medical Image Processing in Oncology (In conjunction with MICCAI). :24-31.
2005
Madabhushi, A, Feldman MD, Metaxas D, Tomaszewski JE, Chute D.  2005.  Automated Detection of Prostatic Adenocarcinoma from High Resolution Ex Vivo MRI. IEEE Transactions on Medical Imaging. 24(12):1611-25. Abstract
Madabhushi, A, Shi J, Rosen M, Tomaszewski JE, Feldman MD.  2005.  Graph Embedding to Improve Supervised Classification: Detecting Prostate Cancer. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 3749:729-738.
2003
Madabhushi, A, Feldman MD, Metaxas D, Chute D, Tomaszewski JE.  2003.  A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High-Resolution MR. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2878:581-91.
Madabhushi, A, Feldman MD, Metaxas D, Chute D, Tomaszewski JE.  2003.  Optimally Combining 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MR Images. IEEE International Conference of Engineering in Medicine and Biology Society (EMBS). :614-17.

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