Automated classification of pen strokes in van Gogh's drawings. - Rosaleena Mohanty; William A. Sethares; Teio Meedendorp; Louis van Tilborgh (ACSSC, 2016)

Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation. - Rosaleena Mohanty; Anita Sinha; Alexander Remsik; Janerra Allen; Veena A. Nair; Kristin Caldera; Justin Sattin; Dorothy Edwards; Justin C. Williams; Vivek Prabhakaran (HCI (14), 2017)

Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. - Gyujoon Hwang; Veena A. Nair; Jed Mathis; Cole J. Cook; Rosaleena Mohanty; Gengyan Zhao; Neelima Tellapragada; Candida Ustine; Onyekachi O. Nwoke; Charlene Rivera-Bonet; Megan Rozman; Linda Allen; et al. (Brain Connect., 2019)

Identification of Subclinical Language Deficit Using Machine Learning Classification Based on Poststroke Functional Connectivity Derived from Low Frequency Oscillations. - Rosaleena Mohanty; Veena A. Nair; Neelima Tellapragada; Leroy M. Williams Jr.; Theresa J. Kang; Vivek Prabhakaran (Brain Connect., 2019)

Dictionary learning-based classification of ink strokes in Vincent van Gogh's drawings. - Rosaleena Mohanty; William A. Sethares; Teio Meedendorp; Louis van Tilborgh (Int. J. Arts Technol., 2019)

Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy. - Mohsen Mazrooyisebdani; Veena A. Nair; Camille Garcia-Ramos; Rosaleena Mohanty; Mary Elizabeth Meyerand; Bruce P. Hermann; Vivek Prabhakaran; Raheel Ahmed (Brain Connect., 2020)

Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering. - Giulia Lorenzon; Konstantinos Poulakis; Rosaleena Mohanty; Miia Kivipelto; Maria Eriksdotter; Daniel Ferreira 003; Eric Westman (Comput. Biol. Medicine, 2024)