[14]
P.V. Kajare, P. Priya, B. Santra, and A. Ekbal "PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues", In Association for Computational Linguistics (ACL 2026). 2026.
[13]
S. Mishra, D. Roy, S. R. Mathur, and B. Santra, "Cross-Modal Image Learning for HER2 Status Detection from H&E Histopathology Images", In 2026 IEEE International Symposium on Biomedical Imaging (ISBI 2026). IEEE, 2026.
[12]
S. Lahiri, P. Srivastava, N. S. Punn, and B. Santra, "Synthesizing Functional Insights from Structural MRI for Alzheimer’s Detection Using Deep Correlation Multimodal Image Learning", In 2026 IEEE International Symposium on Biomedical Imaging (ISBI 2026). IEEE, 2026.
[11]
S. Ghosh, D. Roy, A. Das, and B. Santra, "Optimodnet: A unet-transformer hybrid with grouped-query and channel attention for optic disc and cup segmentation", In International Conference on Computer Vision and Image Processing. Springer, 2025.
[10]
A. Pal, G. Patidar, and B. Santra, "Feddermaseg: Federated learning for dermatological image segmentation", In International Conference on Computer Vision and Image Processing. Springer, 2025.
[9]
O. Makroo, B. Santra, P. Mukherjee, T. S. Mathai, A. Jha, M. Patel, K. Pacak, and R. M. Summers, "Enhanced identification of pheochromocytoma and paragangliomas' genetic clusters from CT", In Medical Imaging 2025: Computer-Aided Diagnosis, vol. 13407, pp. 314–318. SPIE, 2025.
[8]
B. Santra, and D. P. Mukherjee, "Which Region Proposal to Choose? A Case Study for Automatic Identification of Retail Products", In 39th International Conference on Image and Vision Computing New Zealand, pages 1–6. IEEE, 2024.
[7]
D. C. Oluigbo, B. Santra, T. S. Mathai, P. Mukherjee, J. Liu, A. Jha, M. Patel, K. Pacak, and R. M. Summers, "Weakly supervised detection of pheochromocytomas and paragangliomas in CT", In Medical Imaging 2024: Computer-Aided Diagnosis, vol. 12927, pp. 176-180. SPIE, 2024.
[6]
L. Liu, J. Liu, P. Mukherjee, A. Anand, Y. Zhu, B. Santra, and R. M. Summers, "Utilizing Domain Knowledge to Improve Intravenous Contrast Phase Classification Of CT Scans", In Medical Imaging 2024: Computer-Aided Diagnosis, vol. 12927, pp. 332-336. SPIE, 2024.
[5]
B. Santra, A. Jha, P. Mukherjee, M. Patel, K. Pacak, and R. M. Summers, "Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas From CT Images", In International Workshop on Applications of Medical AI (AMAI-MICCAI 2023), pp. 62-71, Cham: Springer Nature Switzerland, 2023.
[4] A. Panda, B. Santra and D. P. Mukherjee, “Bi-modal Compositional Network for Feature Disentanglement,” In Image Processing (ICIP 2022), 2022 IEEE International Conference on, pages 3051-3055. IEEE, 2022.
[3] B. Santra, D. P. Mukherjee and D. Chakrabarti, “A Non-Invasive Approach for Estimation of Hemoglobin Analyzing Blood Flow in Palm,” In Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pages 1100-1103. IEEE, 2017. [BibTeX]
[2] B. Santra and D. P. Mukherjee, “Local Dominant Binary Patterns for Recognition of Multi-view Facial Expressions,” In Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, page 25. ACM, 2016. [BibTeX]
[1] B. Santra and D. P. Mukherjee, “Local Saliency-inspired Binary Patterns for Automatic Recognition of Multi-view Facial Expression,” In Image Processing (ICIP), 2016
IEEE International Conference on, pages 624-628. IEEE, 2016. [BibTeX]
