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

An explainable weakly supervised model for multi-disease detection and localization from thoracic X-rays. - Anwesh Kabiraj; Tanushree Meena; Kalyan Tadepalli; Sudipta Roy 002 (Appl. Soft Comput., 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)

Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers. - Pankaj Kumar Jain; Kalyan Tadepalli; Sudipta Roy 002; Neeraj Sharma (Multim. Tools Appl., 2024)

Forward attention-based deep network for classification of breast histopathology image. - Sudipta Roy 002; Pankaj Kumar Jain; Kalyan Tadepalli; Balakrishna Pailla Reddy (Multim. Tools Appl., 2024)

Bridging gaps in artificial intelligence adoption for maternal-fetal and obstetric care: Unveiling transformative capabilities and challenges. - Kalyan Tadepalli; Abhijit Das; Tanushree Meena; Sudipta Roy 002 (Comput. Methods Programs Biomed., 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)