5 papers
RAA-MIL: A Novel Framework for Classification of Oral Cytology
Rupam Mukherjee, Rajkumar Daniel, Soujanya Hazra +2
Cytology is a valuable tool for early detection of oral squamous cell carcinoma (OSCC). However, manual examination of cytology whole slide images (WSIs) is slow, subjective, and d…
Uncertainty-Aware Multimodal Fusion for Oral Lesion Classification
Soujanya Hazra, Rupam Mukherjee, Rajkumar Daniel +2
Early detection of oral cancer and potentially malignant diseases is a major challenge in low-resource settings due to the scarcity of annotated data. We provide a unified approach…
Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
Soujanya Hazra, Sanjay Ghosh
Depression is a major cause of global mental illness and significantly influences suicide rates. Timely and accurate diagnosis is essential for effective intervention. Electroencep…
Selection and Stability of Functional Connectivity Features for Classification of Brain Disorders
Aniruddha Saha, Soujanya Hazra, Sanjay Ghosh
Brain disorders are an umbrella term for a group of neurological and psychiatric conditions that have a major effect on thinking, feeling, and acting. These conditions encompass a…
Graph-Guided Structured Recovery of Modulo EEG Signals
Soujanya Hazra, Sanjay Ghosh
Electroencephalography (EEG) acquisition is often affected by large-amplitude variations across subjects and sessions. This makes conventional front ends vulnerable to saturation a…