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. DOI: 10.1016/j.compmedimag.2016.05.003
Corredor-Prada, G., Madabhushi, A., & Whitney, J.(2017).Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features.. Journal of medical imaging (Bellingham, Wash.), 4(2), 020015. DOI: 10.1117/1.JMI.4.2.021105
Alilou, M., Beig, N., Orooji, M., Rajiah, P., Velcheti, V., Rakshit, S., ... Madabhushi, A.(2017).An integrated segmentation and shape based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.. Medical physics,().
Romo-Bucheli, D., Janowczyk, A., Gilmore, H., Romero, E., & Madabhushi, A.(2017).A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.. Cytometry. Part A : the journal of the International Society for Analytical Cytology,().
Rusu, M., Purysko, A., Verma, S., Kiechle, J., Gollamudi, J., Ghose, S., ... Madabhushi, A.(2017).Computational imaging reveals shape differences between normal and malignant prostates on MRI.. Scientific reports, 7(), 41261.
Viswanath, S. E., Tiwari, P., Lee, G., & Madabhushi, A.(2017).Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.. BMC medical imaging, 17(1), 2.
Kim, J., Bennett, N., Devita, M., Chahar, S., Viswanath, S. E., Lee, H., ... Moghe, P.(2017).Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells.. Scientific reports, 7(), 39406.
Jackson, R., Yuan, R., Chow, D., Newman, W. S., & Cavusoglu, M. C.(2017).Real-Time Visual Tracking of Dynamic Surgical Suture Threads. IEEE Transactions on Automation Science and Engineering,(), 1-13.
Strezoski, L., Strezoski, V., Prica, M., & Loparo, K. A.(2017).The need for advanced modeling and calculation of basic EMS and DMS applications for electronically coupled energy resources. ,(), 1-6.
Xue, Z., Monaco, J., Sparks, R., & Madabhushi, A.(2017).Connecting Markov random fields and active contour models: application to gland segmentation and classification. Journal of Medical Imaging, 4(2).
Nikoofard, A., Madanayake, A., Handagala, S., Belostotski, L., & Mandal, S.(2017).Low-complexity N-port ADCs using 2-D∆-$\Sigma$ Noise-Shaping in N-Element Array Receivers. submitted to ISCAS,().
Hou, S., Chen, L., Ye, F., & Chen, L.(2017).Deep Analysis and Utilization of Malware's Social Relation Network for Its Detection. SPRINGER INTERNATIONAL PUBLISHING AG, 10612(), 31-42.
Chow, D., Xue, P., Tuna, E., Huang, S., Cavusoglu, M. C., & Newman, W. S.(2017).Supervisory Control of a DaVinci Surgical Robot. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017),().
Vandendriessche, B., Abas, M., Nethery, D., Dick, T., Loparo, K. A., & Jacono, F.(2017).Trajectory of multiscalar variability dynamics in a physiologic state space correlates with mortality in septic patients. Journal of Critical Care, 38(), 367-368.
Wang, H., Viswanath, S. E., & Madabhushi, A.(2017).Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies. Scientific Reports, 7(1).