Wang, Y., Liang, J., Belostotski, L., Madanayake, A., & Mandal, S.(2019).? � S noise-shaping in 3-D space�time for 2-D wideband antenna array receivers.Multidimensional Systems and Signal Processing,30(3),1609-1631.
Feeny, A., Rickard, J., Patel, D., Toro, S., Trulock, K., Park, C., LaBarbera, M., Varma, N., Niebauer, M., Sinha, S., Gorodeski, E., Grimm, R., Ji, X., Barnard, J., Madabhushi, A., Spragg, D., & Chung, M.(2019).Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.Circulation - Arrhythmia and Electrophysiology,12(7).
Young, B., Loparo, K. A., Dick, T. A., & Jacono, F. A.(2019).Ventilatory pattern variability as a biometric for severity of acute lung injury in rats.Respiratory Physiology and Neurobiology,265, 161-171.
Pongvuthithum, R., Rattanamongkhonkun, K., & Lin, W.(2019).Adaptive Control of a General Class of Upper-Triangular Systems with Parametric Uncertainty.Proc. of 2019 European Control Conference (ECC'19), June 25-28.
Chirra, P., Leo, P., Yim, M., Bloch, B., Rastinehad, A., Purysko, A., Rosen, M., Madabhushi, A., & Viswanath, S.(2019).Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI.Journal of Medical Imaging,6(02).
Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., Liu, B., Madabhushi, A., Shah, P., Spitzer, M., & Zhao, S.(2019).Applications of machine learning in drug discovery and development.Nature Reviews Drug Discovery,18(6),463-477.
Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L.(2019).Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing.Biomedical Optics Express,10(6).
Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L.(2019).Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing.Biomedical Optics Express,10(6).
Lu, H., Lee, J., Ray, S., Tanaka, K., Bezerra, H., Rollins, A. M., & Wilson, D. L.(2019).Automated stent coverage analysis in intravascular OCT (IVOCT) image volumes using a support vector machine and mesh growing.Biomedical Optics Express,10(6).
Mingyan Xiao, Ming Li, Linke Guo, Miao Pan, Zhu Han, and Pan Li, Qianlong Wang, Miao Pan,, & Li, P.(2019).Securing Task Allocation in Mobile Crowd Sensing: An Incentive Design Approach..
McVoy, M., Aebi, M., Loparo, K. A., Lytle, S. A., Morris, A. A., Woods, N. A., Deyling, E. A., Tatsuoka, C. A., Lhatoo, S. A., & Sajatovic, M. A.(2019).Resting-state quantitative electroencephalography demonstrates differential connectivity in adolescents with major depressive disorder.Journal of Child and Adolescent Psychopharmacology,29(5),370-377.
Vulchi, M., El Adoui, M., Braman, N., Turk, P., Etesami, M., Drisis, S., Plecha, D., Benjelloun, M., Madabhushi, A., & Abraham, J.(2019).Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI..Journal of Clinical Oncology,37(15_suppl),593-593.
Li, L., Shiradkar, R., Leo, P., Purysko, A., Algohary, A., Klein, E., Magi-Galluzzi, C., & Madabhushi, A.(2019).Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence post-prostatectomy..Journal of Clinical Oncology,37(15_suppl),e16561-e16561.
Prasanna, P., Khorrami, M., Gupta, A., Patil, P., Khunger, M., Velu, P., Bera, K., Alilou, M., Velcheti, V., & Madabhushi, A.(2019).Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study..Journal of Clinical Oncology,37(15_suppl),2588-2588.
Komaki, G., Sheikh, S., & Malakooti, B.(2019).Flow shop scheduling problems with assembly operations: a review and new trends.International Journal of Production Research,57(10),2926-2955.
