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.
Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A.(2016).Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images. Scientific Reports [20452322], 6().
Singanamalli, A., Rusu, M., Sparks, R., Shih, N., Ziober, A., Wang, Y., ... Madabhushi, A.(2016).Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.. Journal of magnetic resonance imaging : JMRI, 43(1), 149-58.
Tiwari, P., Prasanna, P., Wolansky, L., Pinho, M., Cohen, M., Nayate, A., ... Madabhushi, A.(2016).Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study. American Journal of Neuroradiology [01956108], 37(12), 2231-2236.
Ginsburg, S., Lee, G., Karabalin, R., & Madabhushi, A.(2016).Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.. IEEE transactions on medical imaging, 35(1), 76-88.
Janowczyk, A., & Madabhushi, A.(2016).Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases. Journal of Pathology Informatics [21533539], 7(1).
Bhargava, R., & Madabhushi, A.(2016).Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Annual Review of Biomedical Engineering [15239829], 18(1), 387-412.
Madabhushi, A., & Lee, G.(2016).Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Analysis [13618415], 33(), 170-175.
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).
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.
