Robust MSFM Learning Network for Classification and Weakly Supervised Localization. - Komal Kumar; Balakrishna Pailla; Kalyan Tadepalli; Sudipta Roy 002 (ICCV (Workshops), 2023)

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)

IHA-YOLO: Inter-Head Attention for Real-Time Cell Detection. - Tooba Tehreem Sheikh; Komal Kumar; Muhammad Awais; Noa Novershtern; Rao Muhammad Anwer; Hisham Cholakkal (ISBI, 2025)

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)

LLM Post-Training: A Deep Dive into Reasoning Large Language Models. - Komal Kumar; Tajamul Ashraf; Omkar Thawakar; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang 001; Phillip H. S. Torr; Salman H. Khan 001; Fahad Shahbaz Khan (CoRR, 2025)

Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions. - Mohammed Khaleed Almansoori; Komal Kumar; Hisham Cholakkal (CoRR, 2025)

On fully entangled fraction and quantum conditional entropies for states with maximally mixed marginals. - Komal Kumar; Indranil Chakrabarty; Nirman Ganguly (Quantum Inf. Process., 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)