Shalev, R., Bezerra, H., Ray, S., Prabhu, D., & Wilson, D. L.(2016).Classification of calcium in intravascular OCT images for the purpose of intervention planning.SPIE Medical Imaging [Conference],9786
Xu, Z., Wu, Z., Li, Z., Jee, K., Rhee, J., Xiao, X., Xu, F., Wang, H., & Jiang, G.(2016).High fidelity data reduction for big data security dependency analyses.Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.
Janowczyk, A., Doyle, S., Gilmore, H., & Madabhushi, A.(2016).A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization [21681163].
Avllazagaj, E., Ayday, E., & Cicek, A Ercument, E.(2016).Privacy-Related Consequences of Turkish Citizen Database Leak.arXiv preprint arXiv:1605.05847.
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
Erfani, R., Marefat, F., Mandal, S., & Mohseni, P.(2016).A 1.3 mA biphasic current stimulator IC with active charge balancing for nerve interfacing applications..
Qiao, S., Koyutürk, M., & Ozsoyoglu, Z. M.(2016).Querying of Disparate Association and Interaction Data in Biomedical Applications.IEEE/ACM transactions on computational biology and bioinformatics.
Hou, S., Saas, A., Chen, L., & Ye, F.(2016).Deep4MalDroid: A Deep Learning Framework for Android Malware Detection Based on Linux Kernel System Call Graphs.IEEE.
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.(2016).Stacked Sparce Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images.IEEE Transactions on Medical Imaging,35(1),119 - 30.
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.,9791
Donaldson, M., Freed, D., Mandal, S., & Song, Y.(2016).Chemical analysis using low-field magnetic resonance.TrAC - Trends in Analytical Chemistry [01659936],83, 84-93.
Li, L., Rusu, M., Viswanath, S. E., Penzias, G. E., Pahwa, S. E., Gollamudi, J. E., & Madabhushi, A. E.(2016).Multi-modality registration via multi-scale textural and spectral embedding representations.SPIE Medical Imaging [Conference],9784
Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Stangl, J., & Madabhushi, A.(2016).Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images..IEEE transactions on medical imaging,35(1),119-30.
Elso, J., Gil-Martinez, M., & Garcia-Sanz, M.(2016).Quantitative feedback control for multivariable model matching and disturbance rejection: QFT CONTROL FOR MIMO MODEL MATCHING AND DISTURBANCE REJECTION.International Journal of Robust and Nonlinear Control [10498923],27(1),121-134.
Scardelletti, M., Jordan, J., Meredith, R., Harsh, K., Pilant, E., Ursey, M., Beheim, G., Hunter, G., & Zorman, C.(2016).Demonstration of a Packaged Capacitive Pressure Sensor System Suitable for Jet Turbofan Engine Health Monitoring.IEEE Electronic Components and Technology Conference (ECTC).
Ginsburg, S., Algohary, A., Pahwa, S., Gulani, V., Ponsky, L., Aronen, H., Boström, P., Böhm, M., Haynes, A., Brenner, P., Delprado, W., Thompson, J., Pulbrock, M., Taimen, P., Villani, R., Stricker, P., Rastinehad, A., Jambor, I., & 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].
