Hiremath, A., Shiradkar, R., Merisaari, H., Prasanna, P., Ettala, O., Taimen, P., Aronen, H., Boström, P., Jambor, I., & Madabhushi, A.(2021).Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.European Radiology,31(1),379-391.
Jayapandian, C., Chen, Y., Janowczyk, A., Palmer, M., Cassol, C., Sekulic, M., Hodgin, J., Zee, J., Hewitt, S., O'Toole, J., Toro, P., Sedor, J., Barisoni, L., Madabhushi, A., Sedor, J., Dell, K., Schachere, M., Negrey, J., Lemley, K., Lim, E., Srivastava, T., Garrett, A., Sethna, C., Laurent, K., Appel, G., Toledo, M., Barisoni, L., Greenbaum, L., Wang, C., Kang, C., Adler, S., Nast, C., LaPage, J., Stroger, J., Athavale, A., Itteera, M., Neu, A., Boynton, S., Fervenza, F., Hogan, M., Lieske, J., Chernitskiy, V., Kaskel, F., Kumar, N., Flynn, P., Kopp, J., Blake, J., Trachtman, H., Zhdanova, O., Modersitzki, F., Vento, S., Lafayette, R., Mehta, K., Gadegbeku, C., Johnstone, D., Quinn-Boyle, S., Cattran, D., Hladunewich, M., Reich, H., Ling, P., Romano, M., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., LaVigne, J., Derebail, V., Gibson, K., Froment, A., Grubbs, S., Holzman, L., Meyers, K., Kallem, K., Lalli, J., Sambandam, K., Wang, Z., Rogers, M., Jefferson, A., Hingorani, S., Tuttle, K., Bray, M., Kelton, M., Cooper, A., Freedman, B., & Howlin, B.(2021).Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains.Kidney International,99(1),86-101.
Sajadi, A., Strezoski, L., Khodaei, A., Loparo, K. A., Fotuhi-Firuzabad, M. A., Preece, R. A., Yue, M. A., Ding, F. A., Levi, V. A., Arboleya, P. A., & Others, P. A.(2021).Guest Editorial: Special Issue on recent advancements in electric power system planning with high-penetration of renewable energy resources and dynamic loads.International Journal of Electrical Power \& Energy Systems,129, 106597.
Maji, D., Opneja, A., Suster, M., Bane, K., Wilson, B., Mohseni, P., & Stavrou, E.(2021).Monitoring DOACs with a Novel Dielectric Microsensor: A Clinical Study.Thrombosis and Haemostasis.
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., Alilou, M., Sharma, S., Srivastava, S., Madabhushi, A., & Others, A.(2021).Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability.British Journal of Ophthalmology,105(8),1155--1160.
Hiremath, A., Shiradkar, R., Merisaari, H., Prasanna, P., Ettala, O., Taimen, P., Aronen, H., Boström, P., Jambor, I., & Madabhushi, A.(2021).Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.European Radiology,31(1),379-391.
Jayapandian, C., Chen, Y., Janowczyk, A., Palmer, M., Cassol, C., Sekulic, M., Hodgin, J., Zee, J., Hewitt, S., O'Toole, J., Toro, P., Sedor, J., Barisoni, L., Madabhushi, A., Sedor, J., Dell, K., Schachere, M., Negrey, J., Lemley, K., Lim, E., Srivastava, T., Garrett, A., Sethna, C., Laurent, K., Appel, G., Toledo, M., Barisoni, L., Greenbaum, L., Wang, C., Kang, C., & Adler, S.(2021).Development and evaluation of deep learningbased segmentation of histologic structures in the kidney cortex with multiple histologic stains.Kidney International,99(1),86-101.
Halimi, A., Dervishi, L., Ayday, E., Pyrgelis, A., Troncoso-Pastoriza, J., Hubaux, J., Jiang, X., & Vaidya, J.(2021).Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies.arXiv preprint arXiv:2101.08879.
Li, D., Li, Q., Ye, F., & Xu, S.(2021).A Framework for Enhancing Deep Neural Networks Against Adversarial Malware.IEEE Transactions on Network Science and Engineering,8(1),736-750.
Sun, J., & Lin, W.(2020).Adaptive Stabilization of Time-Delay Feedforward Systems with Unknown Parameters.59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea.
Zhang, Y., Qian, Y., Fan, Y., Ye, F., Liu, X., Xiong, Q., & Shao, F.(2020).dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets.ACM.
Sadri, A., Janowczyk, A., Zhou, R., Verma, R., Beig, N., Antunes, J., Madabhushi, A., Tiwari, P., & Viswanath, S. E.(2020).Technical Note: MRQy — An open-source tool for quality control of MR imaging data.Medical Physics,47(12),6029-6038.
Mohseni, P.(2020).A 280µW, 108dB DR PPG-readout IC with reconfigurable, 2nd-order, incremental ΔΣM front-end for direct light-to-digital conversion.IEEE Trans. Biomed. Circ. Syst..
Connamacher, H., & Dobrosotskaya, J.(2020).On the uniformity of the approximation for generalized Stirling numbers of the second kind.Contributions to Discrete Mathematics,15(3),25--42.
Ismail, M., Hill, V., Statsevych, V., Mason, E., Correa, R., Prasanna, P., Singh, G., Bera, K., Thawani, R., Ahluwalia, M., Madabhushi, A., & Tiwari, P.(2020).Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?-A Feasibility Study.Frontiers in Computational Neuroscience,14, 563439.
Mohseni, P.(2020).A dual-output single-stage regulating rectifier with PWM and dual-mode PFM control for wireless powering of biomedical implants.IEEE Trans. Biomed. Circ. Syst..
Kucuk, Y., & Podgurski, A. A.(2020).CounterFault: Value-Based Fault Localization by Modeling and Predicting Counterfactual Outcomes.International Conference on Software Maintenance and Evolution (ICSME)/ IEEE.
Barisoni, L., Lafata, K., Hewitt, S., Madabhushi, A., & Balis, U.(2020).Digital pathology and computational image analysis in nephropathology.Nature Reviews Nephrology,16(11),669-685.
