Gawlik, A., Lee, G., Whitney, J., Epstein, J., Veltri, R., & Madabhushi, A.(2016).MP02-17 COMPUTER EXTRACTED NUCLEAR FEATURES FROM FEULGEN AND H&E IMAGES PREDICT BIOCHEMICAL RECURRENCE IN PROSTATE CANCER PATIENTS FOLLOWING RADICAL PROSTATECTOMY. The Journal of Urology [00225347], 195(4), e16-e17.
Lee, G., Veltri, R., Zhu, G., Ali, S., Epstein, J., & Madabhushi, A.(2016).Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings. European Urology Focus [24054569],().
Xue, Z., Luo, X., Wang, G., Gilmore, H., & Madabhushi, A.(2016).A Deep Convolutional Neural Network for Segmenting and Classifying Epithelial and Stromal Regions in Histopathological Images. Neurocomputing [09252312], 191(), 214-223.
Toth, R., Sperling, D., & Madabhushi, A.(2016).Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings. PLoS ONE [19326203], 11(4).
Penzias, G., Janowczyk, A., Singanamalli, A., Rusu, M., Shih, N., Feldman, M., ... Madabhushi, A.(2016).AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Scientific Reports [20452322], 6().
Ginsburg, S., Algohary, A., Pahwa, S., Gulani, V., Ponsky, L., Aronen, H., ... Madabhushi, A.(2016).Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study: Radiomic Features for Prostate Cancer Detection on MRI. Journal of Magnetic Resonance Imaging [10531807],().
Li, L., Rusu, M., Viswanath, S. E., Penzias, G., Pahwa, S., Gollamudi, J., ... Madabhushi, A.(2016).Multi-modality registration via multi-scale textural and spectral embedding representations. SPIE Medical Imaging [Conference], 9784().
Karabalin, R., Rimm, D., Ganesan, S., & Madabhushi, A.(2016).Abstract P5-07-12: Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER+ breast cancers. Cancer Research [00085472], 76(4 Supplement), P5-07-12-P5-07-12.
Janowczyk, A., Basavanhally, A., & Madabhushi, A.(2016).Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Computerized Medical Imaging and Graphics [08956111],().
Madabhushi, A., Ginsburg, S., & Lee, G.(2016).Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Transactions on Medical Imaging, 35(1), 76 - 88.
Antunes, J., Viswanath, S. E., Rusu, M., Valls, L., Hoimes, C., Avril, N., ... Madabhushi, A.(2016).Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study. Translational Oncology [19365233], 9(2), 155-162.
Madabhushi, A.(2016).Stacked Sparce Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images. IEEE Transactions on Medical Imaging, 35(1), 119 - 30.
Cohn, H., Lu, C., Paspulati, R., Katz, J., Madabhushi, A., Stein, S., ... Dave, M.(2016).Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE. Gastroenterology [00165085], 150(4).
Romo-Bucheli, D., Janowczyk, A., Romero, E., Gilmore, H., & Madabhushi, A.(2016).Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. SPIE Medical Imaging [Conference], 9791().
Litjens, G., Elliott, R., Shih, N., Feldman, M., Kobus, T., De Hulsbergen-van Kaa, C., ... Madabhushi, A.(2016).Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.. Radiology, 278(1), 135-45.
Xu, J., Xiang, L., Wang, P., Ganesan, S., Feldman, M., Shih, N., ... Madabhushi, A.(2015).Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 46 Pt 1(), 20-9.
Tiwari, P., Danish, S., Jiang, B., & Madabhushi, A.(2015).Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings.. Journal of medical imaging (Bellingham, Wash.), 2(4), 041008.
Rusu, M., Golden, T., Wang, Z., Gow, A., & Madabhushi, A.(2015).Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model.. Medical physics, 42(8), 4822-32.