Sentiment is all you need to win US Presidential elections. - Sovesh Mohapatra; Somesh Mohapatra (CoRR, 2022)

Characterization of effects of transfer learning across domains and languages. - Sovesh Mohapatra (CoRR, 2022)

Automated Ensemble Method for Pediatric Brain Tumor Segmentation. - Shashidhar Reddy Javaji; Advait Gosai; Sovesh Mohapatra; Gottfried Schlaug (BraTS/CrossMoDA@MICCAI, 2023)

An Ensemble Approach for Segmentation of Neonatal HIE Lesions. - Chiranjeewee Prasad Koirala; Sovesh Mohapatra; Gottfried Schlaug (BONBID-HIE@MICCAI, 2023)

SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning. - Sovesh Mohapatra; Advait Gosai; Gottfried Schlaug (CoRR, 2023)

Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions. - Sovesh Mohapatra; Advait Gosai; Anant B. Shinde; Aleksei Rutkovskii; Sirisha Nouduri; Gottfried Schlaug (CoRR, 2023)

Automated Ensemble-Based Segmentation of Pediatric Brain Tumors: A Novel Approach Using the CBTN-CONNECT-ASNR-MICCAI BraTS-PEDs 2023 Challenge Data. - Shashidhar Reddy Javaji; Sovesh Mohapatra; Advait Gosai; Gottfried Schlaug (CoRR, 2023)

Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data. - Chiranjeewee Prasad Koirala; Sovesh Mohapatra; Advait Gosai; Gottfried Schlaug (CoRR, 2023)

Identifying the engagement of a brain network during a targeted tDCS-fMRI experiment using a machine learning approach. - Anant B. Shinde; Sovesh Mohapatra; Gottfried Schlaug (PLoS Comput. Biol., 2023)

TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation. - Sovesh Mohapatra; Minhui Ouyang; Shufang Tan; Jianlin Guo; Lianglong Sun; Yong He; Hao Huang (CoRR, 2025)