In house - 6 HPCs are available in A3I2Lab 

Snehashis Chakraborty, Komal Kumar, Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, "Robust semantic learning for precise medical image segmentation," Biomedical Signal Processing and Control, Volume 110, Part B, 2025, 108251, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2025.108251. (https://www.sciencedirect.com/science/article/pii/S1746809425007621) .

GitHub: https://github.com/labsroy007/RobustSemanticLearning

Kumar, K., Chakraborty, S., Mahapatra, D., Bozorgtabar, B., & Roy, S. (2025, February). Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 7928-7938). IEEE. .

GitHub: https://github.com/labsroy007/WACV2025SSLDVIT

Devavrat Tomar, Guillaume Vray, Dwarikanath Mahapatra, Sudipta Roy, Jean-Philippe Thiran, Behzad Bozorgtabar, "Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology," IEEE 22nd International Symposium on Biomedical Imaging (ISBI) 2025, 14-17 April 2025 Location: Houston, TX, USA.

GitHub: https://github.com/labsroy007/SLIP-Slide-Level-Prompt-Learning

Tuhinangshu Gangopadhyay, Debojyoti Pal, Tanushree Meena, Sudipta Roy, “A Lightweight Self Attention based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring," IEEE Transactions on Emerging Topics in Computational Intelligence, DOI: 10.1109/TETCI.2024.3444590, Sept 2024.

GitHub: https://github.com/labsroy007/SA-U-Net-

Deria, Ankan, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, and Sudipta Roy. "InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2028-2038. 2024.

GitHub: https://github.com/labsroy007/InVERGe

Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, Sudipta Roy, “SAC UW-Net: A self-attention-based network for multimodal medical image segmentation,” 2024 IEEE International Symposium on Biomedical Imaging (21st IEEE ISBI), Athens, Greece on May 27 – 30, 2024..

GitHub: https://github.com/labsroy007/SAC-UWNet

Roy, S., Jain, P.K., Tadepalli, K. et al. Forward attention-based deep network for classification of breast histopathology image. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18947-w

GitHub: https://github.com/labsroy007/Forward-attention-based-deep-network

Kabiraj, A., Meena, T., Reddy, P.B. et al. Multiple thoracic diseases detection from X-rays using CX-Ultranet. Health Technol. (2024). https://doi.org/10.1007/s12553-024-00820-3

GitHub: https://github.com/labsroy007/CX-Ultranet

Chakraborty, S., Kumar, K., Tadepalli, K. et al. Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-17828-y

GitHub: https://github.com/labsroy007/MTAP-XAutoNet1

Kumar, K., Chakraborty, S., Roy, S. (2023). Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging. In: Maji, P., Huang, T., Pal, N.R., Chaudhury, S., De, R.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2023. Lecture Notes in Computer Science, vol 14301. Springer, Cham. https://doi.org/10.1007/978-3-031-45170-6_37

GitHub: https://github.com/labsroy007/SDSquare

Komal Kumar, Balakrishna Pailla, Kalyan Tadepalli, Sudipta Roy, "Robust MSFM Learning Network for Classification and Weakly Supervised Localization," Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 2442-2451.

GitHub: https://github.com/labsroy007/ICCV-MSFM

Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, Sudipta Roy, "AW-Net: A Novel Fully Connected Attention-Based Medical Image Segmentation Model," Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 2532-2541.

GitHub: https://github.com/labsroy007/ICCV-AW-Net

S. Chakraborty, K. Kumar, B. P. Reddy, T. Meena and S. Roy, "An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis," 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), Bellevue, WA, USA, 2023, pp. 297-302, doi: 10.1109/IRI58017.2023.00059.

GitHub: https://github.com/labsroy007/XAutoNet

D. Pal, T. Meena and S. Roy, "A Fully Connected Reproducible SE-UResNet for Multiorgan Chest Radiographs Segmentation," 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), Bellevue, WA, USA, 2023, pp. 261-266, doi: 10.1109/IRI58017.2023.00052.

GitHub: https://github.com/labsroy007/IEEE-IRI-SE-UResNet

T. Meena, A. Kabiraj, P. B. Reddy and S. Roy, "Weakly Supervised Confidence Aware Probabilistic CAM multi-Thorax Anomaly Localization Network," 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), Bellevue, WA, USA, 2023, pp. 309-314, doi: 10.1109/IRI58017.2023.00061.

GitHub: https://github.com/labsroy007/CA-PCAM

Halder, S., T. Gangopadhyay, P. Dasgupta, K. Chatterjee, D. Ganguly, S. Sarkar, and S. Roy. "Fetal Brain Component Segmentation using 2-way Ensemble U-Net." In Proceedings of the 7th International Conference on Data Management, Analytics and Innovation, Pune, India, pp. 1-12. 2023.

GitHub: https://github.com/labsroy007/2-way-Ensemble-U-Net

Gangopadhyay, T., Halder, S., Dasgupta, P. et al. MTSE U-Net: an architecture for segmentation, and prediction of fetal brain and gestational age from MRI of brain. Netw Model Anal Health Inform Bioinforma 11, 50 (2022). https://doi.org/10.1007/s13721-022-00394-y

GitHub: https://github.com/labsroy007/MTSE-U-Net

Debojyoti Pal, Pailla Balakrishna Reddy, Sudipta Roy (2022). Attention UW-Net: A fully connected model for automatic segmentation and annotation from Chest X-ray. Computers in Biology and Medicine, Elsevier, Volume 150, November 2022, 106083. https://doi.org/10.1016/j.compbiomed.2022.106083 

GitHub: https://github.com/Dynamo13/Attention_UWNet

Anwesh Kabiraj, Debojyoti Pal, Debayan Ganguly, Kingshuk Chatterjee, Sudipta Roy(2022). Number Plate Recognition from Enhanced Super Resolution with Generative Adversarial Network. Multimedia Tools and Applications, Springer,  DOI: 10.1007/s11042-022-14018-0 

GitHub: https://github.com/bad-eastwind/Super-Resolution-GAN-

Varun Srivastava, Deepika Kumar and Sudipta Roy (2022). A median based quadrilateral local quantized ternary pattern technique for the classification of dermatoscopic images of skin cancer. Computer and Electrical Engineering, ELSEVIER, Vol 102, September 2022, 108259. https://doi.org/10.1016/j.compeleceng.2022.108259 

GitHub: https://www.livesportv.online/pageone-https-github.com/varun0621/SkinCancer-Detection

Chatterjee, S., Dutta, R.K., Ganguly, D., Chatterjee, K., Roy, S. (2020). Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network. In: Tiwary, U., Chaudhury, S. (eds) Intelligent Human Computer Interaction. IHCI 2019. Lecture Notes in Computer Science(), vol 11886. Springer, Cham. https://doi.org/10.1007/978-3-030-44689-5_13 

GitHub: https://github.com/swagato-c/bangla-hwcr-present