Snehashis Chakraborty

According to our database, Snehashis Chakraborty authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays.

Komal Kumar, Snehashis Chakraborty, Kalyan Tadepalli, Sudipta Roy

Multim. Tools Appl., May, 2025

Robust semantic learning for precise medical image segmentation.

Snehashis Chakraborty, Komal Kumar, Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy

Biomed. Signal Process. Control., 2025

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet.

Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

Multim. Tools Appl., 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation.

Ankan Deria, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging.

Komal Kumar, Snehashis Chakraborty, Sudipta Roy

Proceedings of the Pattern Recognition and Machine Intelligence, 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

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023