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Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.

J. Xu, L. Xiang, G. Wang, S. Ganesan, M. Feldman, N. Shih, H. Gilmore, und A. Madabhushi. Comp. Med. Imag. and Graph., (2015)

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Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.A. Madabhushi, M. Feldman, D. Metaxas, J. Tomaszeweski, und D. Chute. IEEE Trans. Med. Imaging, 24 (12): 1611-1625 (2005)Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.G. Xiao, B. Bloch, J. Chappelow, E. Genega, N. Rofsky, R. Lenkinski, J. Tomaszewski, M. Feldman, M. Rosen, und A. Madabhushi. Comp. Med. Imag. and Graph., 35 (7-8): 568-578 (2011)Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.A. Golugula, G. Lee, S. Master, M. Feldman, J. Tomaszewski, D. Speicher, und A. Madabhushi. BMC Bioinformatics, (2011)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, J. Tomaszewski, und A. Madabhushi. IEEE Trans. Biomed. Engineering, 57 (7): 1676-1689 (2010)Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk.M. Mahrooghy, A. Ashraf, D. Daye, E. McDonald, M. Rosen, C. Mies, M. Feldman, und D. Kontos. IEEE Trans. Biomed. Engineering, 62 (6): 1585-1594 (2015)Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer.A. Madabhushi, J. Shi, M. Rosen, J. Tomaszeweski, und M. Feldman. MICCAI, Volume 3749 von Lecture Notes in Computer Science, Seite 729-737. Springer, (2005)Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.S. Ghose, R. Shiradkar, M. Rusu, J. Mitra, R. Thawani, M. Feldman, A. Gupta, A. Purysko, L. Ponsky, und A. Madabhushi. MICCAI (2), Volume 10434 von Lecture Notes in Computer Science, Seite 442-449. Springer, (2017)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.G. Lee, S. Doyle, J. Monaco, M. Feldman, S. Master, J. Tomaszewski, und A. Madabhushi. ISBI, Seite 77-80. IEEE, (2009)A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration.J. Chappelow, A. Madabhushi, M. Rosen, J. Tomaszeweski, und M. Feldman. ISBI, Seite 644-647. IEEE, (2007)Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.G. Lee, R. Sparks, S. Ali, A. Madabhushi, M. Feldman, S. Master, N. Shih, und J. Tomaszewski. ISBI, Seite 113-116. IEEE, (2013)