Cohn, H., Lu, C., Paspulati, R., Katz, J., Madabhushi, A., Stein, S., Cominelli, F., Viswanath, S. E., & Dave, M. E.(2016).Tu1966 A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE.Gastroenterology [00165085],150(4).
Shalev, R., Gargesha, M., Prabhu, D., Tanaka, K., Rollins, A. M., Lamouche, G. M., Bisaillon, C. M., Bezerra, H. M., Ray, S. M., & Wilson, D. L.(2016).Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks.Journal of Medical Imaging [23294302],3(2).
Garcia-Sanz, M., & Otorongo, M.(2016).Planificación y diseño automático óptimo de grandes redes eléctricas de distribución: aplicación al Centro histórico de Quito.CENACE.
Ghosh, S., Ostrowski, E., Yang, R., Debnath, D., Zorman, C., & Sankaran, R.(2016).Atmospheric-pressure plasma reduction of metal cation-containing polymer films to produce electrically conductive nanocomposites by an electrodiffusion mechanism.Plasma Chemistry Plasma Processing.
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.
Sajadi, A., Kolacinski, R., & Loparo, K. A.(2016).Transient voltage stability of offshore wind farms following faults on the collector system.IEEE Power and Energy Conference at Illinois (PECI).
Rubaiyat, Abu H. M., Toma, T., Kalantari-Khandani, M., Rahman, S., Chen, L., Ye, F., & Pan, C.(2016).Automatic Detection of Helmet Uses for Construction Safety.IEEE.
Jackson, R., Liu, T., & Cavusoglu, M. C.(2016).Catadioptric stereo tracking for three dimensional shape measurement of MRI guided catheters.IEEE International Conference on Robotics and Automation (ICRA).
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.
Hou, S., Saas, A., Ye, F., & Chen, L.(2016).DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocks.SPRINGER INTERNATIONAL PUBLISHING AG,9998, 54-66.
Monahan, K., Song, Y., Loparo, K. A., Mehra, R. A., Harrell, Jr, F. A., & Redline, S. A.(2016).Automated detection of atrial fibrillation from the electrocardiogram channel of polysomnograms.Sleep and Breathing,20(2),515–522.
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.
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
Strezoski, L., Prica, M., & Loparo, K. A.(2016).Generalized-Circuit Concept for Integration of Distributed Generators in Online Short-Circuit Calculations.IEEE Transactions on Power Systems [08858950].
Tiwari, P., Prasanna, P., Wolansky, L., Pinho, M., Cohen, M., Nayate, A., Gupta, A., Singh, G., Hatanpaa, K., Sloan, A., Rogers, L., & 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.
Yang, W., Xiao, X., Li, D., Li, H., Liu, X., Wang, H., Guo, Y., & Xie, T.(2016).Security Analytics for Mobile Apps: Achievements and Challenges.Journal of Cyber Security ,1(2),1-14.
Madabhushi, A., & Lee, G.(2016).Image analysis and machine learning in digital pathology: Challenges and opportunities.Medical Image Analysis [13618415],33, 170-175.