Convex Denoising using Non-Convex Tight Frame Regularization. - Ankit Parekh; Ivan W. Selesnick (IEEE Signal Process. Lett., 2015)

Convex 1-D Total Variation Denoising with Non-convex Regularization. - Ivan W. Selesnick; Ankit Parekh; Ilker Bayram (IEEE Signal Process. Lett., 2015)

Enhanced Low-Rank Matrix Approximation. - Ankit Parekh; Ivan W. Selesnick (IEEE Signal Process. Lett., 2016)

Improved sparse low-rank matrix estimation. - Ankit Parekh; Ivan W. Selesnick (Signal Process., 2017)

Stable Principal Component Pursuit via Convex Analysis. - Lei Yin; Ankit Parekh; Ivan W. Selesnick (IEEE Trans. Signal Process., 2019)

Explainable Deep-Fake Detection Using Visual Interpretability Methods. - Badhrinarayan Malolan; Ankit Parekh; Faruk Kazi 001 (ICICT, 2020)

SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator. - Sajila D. Wickramaratne; Ankit Parekh (EMBC, 2023)

Machine Learning Model Combining Ventilatory, Hypoxic, Arousal Domains Across Sleep Better Predicts Adverse Consequences of Obstructive Sleep Apnea. - Sajila D. Wickramaratne; Kam Korey; Thomas M. Tolbert; Andrew W. Varga; Indu Ayappa; David M. Rapoport; Ankit Parekh (EMBC, 2024)