An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis. - Snehashis Chakraborty; Komal Kumar; Pailla Balakrishna Reddy; Tanushree Meena; Sudipta Roy 002 (IRI, 2023)

Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging. - Komal Kumar; Snehashis Chakraborty; Sudipta Roy 002 (PReMI, 2023)

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation. - Ankan Deria; Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Sudipta Roy 002 (CVPR Workshops, 2024)

Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. - Abhijit Das; Vandan Gorade; Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Sudipta Roy 002 (MICCAI (1), 2024)

Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification. - Snehashis Chakraborty; Komal Kumar; Kalyan Tadepalli; Balakrishna Pailla; Sudipta Roy 002 (Multim. Tools Appl., 2024)

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. - Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (WACV, 2025)

Robust semantic learning for precise medical image segmentation. - Snehashis Chakraborty; Komal Kumar; Ankan Deria; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (Biomed. Signal Process. Control., 2025)

Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays. - Komal Kumar; Snehashis Chakraborty; Kalyan Tadepalli; Sudipta Roy 002 (Multim. Tools Appl., 2025)