21 citations · 27 across the 8 of their papers we have counts for
9 papers
QUIET: Quantifying Underutilized Influential Edges for Targeted Synchronization
Sovesh Mohapatra, Christoffer G. Alexandersen, Panagiotis Fotiadis +4
Network control theory can be used to model intrinsic and extrinsic strategies to steer neural dynamics. Standard approaches are node-centric, structural, and focused on achieving…
War in the Abstract: The Rise and Consequences of Militarized Language in Scientific Communication
Sovesh Mohapatra, David Lydon-Staley, Dani S. Bassett
Scientists do not, by profession, wage war. Yet warfare's vocabulary consistently appears in their abstracts. To quantify the extent to which warfare's vocabulary pervades scientif…
TReND: Transformer derived features and Regularized NMF for neonatal functional network Delineation
Sovesh Mohapatra, Minhui Ouyang, Shufang Tan +4
Precise parcellation of functional networks (FNs) of early developing human brain is the fundamental basis for identifying biomarker of developmental disorders and understanding fu…
Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data
Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Advait Gosai +1
Brain tumors, particularly glioblastoma, continue to challenge medical diagnostics and treatments globally. This paper explores the application of deep learning to multi-modality m…
Automated ensemble method for pediatric brain tumor segmentation
Shashidhar Reddy Javaji, Sovesh Mohapatra, Advait Gosai +1
Brain tumors remain a critical global health challenge, necessitating advancements in diagnostic techniques and treatment methodologies. A tumor or its recurrence often needs to be…
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions
Sovesh Mohapatra, Advait Gosai, Anant Shinde +3
A major challenge in stroke research and stroke recovery predictions is the determination of a stroke lesion's extent and its impact on relevant brain systems. Manual segmentation…
SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
Sovesh Mohapatra, Advait Gosai, Gottfried Schlaug
Brain extraction is a critical preprocessing step in various neuroimaging studies, particularly enabling accurate separation of brain from non-brain tissue and segmentation of rele…
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning
Sovesh Mohapatra, Somesh Mohapatra
Transfer learning from large language models (LLMs) has emerged as a powerful technique to enable knowledge-based fine-tuning for a number of tasks, adaptation of models for differ…
Sentiment is all you need to win US Presidential elections
Sovesh Mohapatra, Somesh Mohapatra
Election speeches play an integral role in communicating the vision and mission of the candidates. From lofty promises to mud-slinging, the electoral candidate accounts for all. Ho…