Recognition Of Atypical Behavior In Autism Diagnosis From Video Using Pose Estimation Over Time. - Kathan Vyas; Rui Ma; Behnaz Rezaei; Shuangjun Liu; Michael Neubauer 004; Thomas Ploetz; Ronald Oberleitner; Sarah Ostadabbas (MLSP, 2019)

Additional Value of Augmenting Current Subscales in Braden Scale with Advanced Machine Learning Technique for Pressure Injury Risk Assessment. - Kathan Vyas; Ali Samadani; Mladen Milosevic; Sarah Ostadabbas; Saman Parvaneh (BIBM, 2020)

An Efficient 3D Synthetic Model Generation Pipeline for Human Pose Data Augmentation. - Kathan Vyas; Le Jiang; Shuangjun Liu; Sarah Ostadabbas (CVPR Workshops, 2021)

Heart Murmur Detection Using Ensemble of Deep Learning Classifiers for Phonocardiograms Recorded from Multiple Auscultation Locations. - Saman Parvaneh; Zaniar Ardalan; Joomyung Song; Kathan Vyas; Cristhian Potes (CinC, 2022)

Detection of glycemic excursions using morphological and time-domain ECG features. - Kathan Vyas; Carolina Villegas; Elizabeth Kubota-Mishra; Darpit Dave; Madhav Erraguntla; Gerard L. Coté; Daniel J. DeSalvo; Siripoom McKay; Ricardo Gutierrez-Osuna (BSN, 2023)

Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model. - Darpit Dave; Kathan Vyas; Gerard L. Coté; Madhav Erraguntla (Biomed. Signal Process. Control., 2024)

FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions. - Darpit Dave; Kathan Vyas; Jagadish Kumaran Jayagopal; Alfredo Garcia; Madhav Erraguntla; Mark Lawley (CoRR, 2024)