Publications

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2018
Bera, K, Velcheti V, Madabhushi A.  2018.  Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.. American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting. 38:1008-1018. Abstract
2017
Gurcan, MN, Tomaszewski JE, Madabhushi A.  2017.  Special Section Guest Editorial: Digital Pathology.. Journal of medical imaging (Bellingham, Wash.). 4(2):021101.
Janowczyk, A, Basavanhally A, Madabhushi A.  2017.  Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 57:50-61. Abstract
2016
Janowczyk, A, Basavanhally A, Madabhushi A.  2016.  Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. Abstract
2015
2014
Ali, S, Veltri R, Epstein JI, Christudass C, Madabhushi A.  2014.  Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 14:00176-1. Abstract
Prasanna, P, Tiwari P, Madabhushi A.  2014.  Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 8675:73-80.
Wang, H, Singanamalli A, Ginsburg S, Madabhushi A.  2014.  Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis (GNCCA): Multimodal Prostate Cancer Prognosis. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 8675:385-392.
2013
Ali, S, Lewis JS, Madabhushi A.  2013.  Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 8149:412-419.
2012

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