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.
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.
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.
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.
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.
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
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).
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.
Liu, T., & Cavusoglu, M. C.(2016).Needle Grasp and Entry Port Selection for Automatic Execution of Suturing Tasks in Robotic Minimally Invasive Surgery.IEEE Transactions on Automation Science and Engineering [15455955],13(2),552-563.
Madabhushi, A., & Lee, G.(2016).Image analysis and machine learning in digital pathology: Challenges and opportunities.Medical Image Analysis [13618415],33, 170-175.
Litjens, G., Elliott, R., Shih, N., Feldman, M., Kobus, T., De Hulsbergen-van Kaa, C., Barentsz, J., Huisman, H., & Madabhushi, A.(2016).Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging..Radiology,278(1),135-45.
Mohammadi-Abdar, H., Ridgel, A., Discenzo, F., & Loparo, K. A.(2016).Design and development of a smart exercise bike for motor rehabilitation in individuals with Parkinson’s disease.IEEE/ASME Transactions on Mechatronics,21(3),1650–1658.
Lacuey, N., Zonjy, B., Theerannaew, W., Loparo, K. A., Tatsuoka, C. A., Sahadevan, J. A., & Lhatoo, S. A.(2016).Left-insular damage, autonomic instability, and sudden unexpected death in epilepsy.Epilepsy and Behavior [15255050],55, 170-173.
Vick, J., Schreiber, N., Mental, R., Foye, M., & Lee, G.(2016).Development of auditory and somatosensory goals for alveolar sibilant production in later childhood.The Journal of the Acoustical Society of America [00014966],139(4),2192-2192.
Salinas, S., Chen, X., Ji, J., & Li, P.(2016).A Tutorial on Secure Outsourcing of Large-scale Computations for Big Data.IEEE Access [21693536],4, 1406-1416.