Parizy, E., Ardakani, A., Mohammadi, A., & Loparo, K. A.(2020).Co-designed Incentives for an Aimed Renewable Energy Contribution and Volunteer Load Shedding.IET Renewable Power Generation,14(12),2287--2295.
Prasanna, P., Bobba, V., Figueiredo, N., Sevgi, D., Lu, C., Braman, N., Alilou, M., Sharma, S., Srivastava, S., Madabhushi, A., & Others, A.(2020).Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability.British Journal of Ophthalmology.
Yilmaz, E., Ayday, E., Ji, T., & Li, P.(2020).Preserving Genomic Privacy via Selective Sharing.ACM Workshop on Privacy in the Electronic Society (WPES).
Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A.(2020).Erratum: Application of reinforcement learning to deep brain stimulation in a computational model of Parkinson's disease (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) 28: 1 (339-349.IEEE Transactions on Neural Systems and Rehabilitation Engineering,28(3),9027068.
Mohseni, P.(2020).A 1-V 8.1-uW PPG-recording front-end with >92-dB DR using light-to-digital conversion with signal-aware DC subtraction and ambient light removal.IEEE Solid-State Circ. Lett.,3(1),17-20.
Zhou, Y., Janowczyk, A., Lu, C., Grobholz, R., Katz, I., & Madabhushi, A.(2020).A Deep Learning-Based Approach for Localization and Diagnosis of Non-Melanoma Skin Cancers from Whole Slide Digital Pathology Images.,100(SUPPL 1),518--519.
Sandhu, A., Wang, Y., Bena, J., Loparo, K. A., Taylor, J. A., Nawabit, R. A., Chung, M. A., Van Wagoner, D. A., Walia, H. A., & Others, H. A.(2020).0614 Diurnal Patterning of Autonomic Measures in Sleep Apnea and Paroxysmal Atrial Fibrillation and Response to Continuous Positive Airway Pressure Therapy.Sleep,43(Supplement\_1),A235--A235.
Koyuncu, C., Lu, C., Gondim, D., Bera, K., Thompson, L., Lewis, J., & Madabhushi, A.(2020).Predicting HPV Status of Oropharyngeal Squamous Cell Carcinoma Patients Using Handcrafted Histomorphometric and Deep Learning Features.,100(SUPPL 1),1207--1207.
Shiradkar, R., Panda, A., Leo, P., Janowczyk, A., Farre, X., Janaki, N., Li, L., Pahwa, S., Mahran, A., Buzzy, C., Fu, P., Elliott, R., MacLennan, G., Ponsky, L., Gulani, V., & Madabhushi, A.(2020).T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.European Radiology.
Almadhoun, N., Ayday, E., & Ulusoy, \"Ozg\"ur, E.(2020).Inference attacks against differentially private query results from genomic datasets including dependent tuples.Bioinformatics,36(Supplement\_1),i136--i145.
Miller, C., Zorman, C., & Wnek, G. E.(2020).An Improved Tactile Sensing Device for Material Characterization via Friction-Induced Vibrations.Sensors and Actuators A: Physical,303(2020),111824.
\"Oks\"uz, Abdullah \cCa\uglar, Ayday, E., & G\"ud\"ukbay, U\ugur, E.(2020).Privacy-Preserving and Robust Watermarking on Sequential Genome Data using Belief Propagation and Local Differential Privacy.bioRxiv.
Ozguner, O., Shkurti, T., Huang, S., Zhao, B., Jackson, R., Newman, W. S., & Cavusoglu, M. C.(2020).Camera-Robot Calibration for the da Vinci Robotic Surgery System.IEEE Transactions on Automation Science and Engineering.
Shiradkar, R., Zuo, R., Mahran, A., Ponsky, L., Tirumani, S., & Madabhushi, A.(2020).Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: Preliminary results.,11314
Wang, Q., Guo, Y., Yu, L., & Li, P.(2020).Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach.IEEE Transactions on Emerging Topics in Computing,8(1),148-158.
Parizy, E., Ardakani, A., Mohammadi, A., & Loparo, K. A.(2020).A new quantitative load profile measure for demand response performance evaluation.International Journal of Electrical Power \& Energy Systems,121, 106073.
Vaidya, P., Bera, K., Patil, P., Gupta, A., Jain, P., Alilou, M., Khorrami, M., Velcheti, V., & Madabhushi, A.(2020).Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade.Journal for immunotherapy of cancer,8(2).
Ayday, E.(2020).Tracking the Invisible: Privacy-Preserving Contact Tracing to Control the Spread of a Virus.Data Privacy Management (DPM) International Workshop .
Lu, M., Wei, X., Che, Y., Wang, J., & Loparo, K. A.(2020).Comments and Corrections Corrections to “Application of Reinforcement Learning to Deep Brain Stimulation in a Computational Model of Parkinson’s Disease”.IEEE Transactions on Neural Systems and Rehabilitation Engineering,28(3),766--766.
