[9]
B. Santra, and D. P. Mukherjee, "Which Region Proposal to Choose? A Case Study for Automatic Identification of Retail Products", In Conference on Image and Vision Computing New Zealand. IEEE, 2024. [Accepted]
[8]
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. SPIE, 2025. [Accepted]
[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]
