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Gurcan, MN, Tomaszewski JE, Madabhushi A.  2017.  Special Section Guest Editorial: Digital Pathology.. Journal of medical imaging (Bellingham, Wash.). 4(2):021101.
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.
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.
Tomaszewski, JE, Feldman MD, Madabhushi A.  2009.  Fused Diagnostics. Critical Values. 2(3):18-22.
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).
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.
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, 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.
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.

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