Janowczyk, A., Shankar, E., Leo, P., Madabhushi, A., Elliott, R., & Gupta, S.(2018).Combination of nuclear NF-kB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients. Medical Imaging: Digital Pathology,().
WAng, X., Velcheti, V., Vaidya, P., Bera, K., Madabhushi, A., Khunger, A., ... Choi, H.(2018).RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. Medical Imaging: Digital Pathology,().
Strezoski, L., Prica, M., & Loparo, K. A.(2018).Sequence Domain Calculation of Active Unbalanced Distribution Systems Affected by Complex Short Circuits. IEEE Transactions on Power Systems, 33(2), 1891-1902.
Peyster, E., Madabhushi, A., & Margulies, K.(2018).Advanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection. Transplantation,().
Salinas, S., Luo, C., Chen, X., Liao, W., & Li, P.(2018).Efficient Secure Outsourcing of Large-scale Sparse Linear Systems of Equations. IEEE Transactions on Big Data, 4(1), 26-39.
Ravichandran, K., Braman, N., Janowczyk, A., & Madabhushi, A.(2018).A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis,().
Chirra, P., Bloch, N., Rastinehead, A., Purysko, A., Madabhushi, A., Viswanath, S., ... Rosen, M.(2018).Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. Medical Imaging: Computer-Aided Diagnosis,().
Algohary, A., Viswanath, S. E., Shiradkar, R., Ghose, S., Pahwa, S., Moses, D., ... Madabhushi, A.(2018).Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings: Radiomics Categorizes PCa Patients on AS. Journal of Magnetic Resonance Imaging,().
Whitney, J., Romeo-Bucheli, D., Janowczyk, A., Ganesan, S., Feldman, M., Gilmore, H., ... Madabhushi, A.(2018).Abstract P4-09-11: Computer extracted features of tumor grade from H&E images predict oncotype DX risk categories for early stage ER+ breast cancer. Cancer Research, 78(4 Supplement), P4-09-11-P4-09-11.
Slipchenko, M., Whitney, J., Thawani, R., Gilmore, H., Badve, S., & Madabhushi, A.(2018).Abstract P4-09-12: Quantitative image features of nuclear and tubule architecture distinguish high and low oncotype DX risk categories of ductal carcinoma in situ from H&E tissue images. Cancer Research, 78(4 Supplement), P4-09-12-P4-09-12.
Theeranaew, W., McDonald, J., Zonjy, B., Moseley, B., Friedman, D., So, E., ... Loparo, K. A.(2018).Automated Detection of Postictal Generalized EEG Suppression. IEEE Transactions on Biomedical Engineering, 65(2), 371-377.
Sajadi, A., Strezoski, L., Clark, K., Prica, M., & Loparo, K. A.(2018).Transmission system protection screening for integration of offshore wind power plants. Renewable Energy,().
Ozercan, H., Ileri, A., Ayday, E., & Alkan, C.(2018).Realizing the potential of blockchain technologies in genomics. Genome research, 28(9), 1255--1263.
Theeranaew, W., McDonald, J., Sinha, A., Lhatoo, S., & Loparo, K. A.(2018).Integrative Analysis of Multimodal Data for SUDEP Biomarker Discovery. IEEE Sensors Letters,().