Bikash Santra

19 papers B 2Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
DINOv2KAN: Kolmogorov-Arnold Network with DINOv2 Vision Transformer for enhanced characterization of Alzheimer's Disease.
Biomed. Signal Process. Control.
Soham Lahiri, Akanksha Dhar, Narinder Singh Punn, Bikash Santra
2025 J jnl
A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT.
CoRR
Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Wesley Jong, Darwish Alabyad, Vivek Batheja, Abhishek Jha, Mayank Patel, Darko Pucar, Jayadira del Rivero, Karel Pacak, Ronald M. Summers
2025 J jnl
Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans.
Comput. Medical Imaging Graph.
Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers
2024 J jnl
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.
CoRR
David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024 J jnl
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.
Comput. Medical Imaging Graph.
David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024 Misc conf
Which Region Proposal to Choose? A Case Study for Automatic Identification of Retail Products.
IVCNZ
Bikash Santra, Dipti Prasad Mukherjee
2023 — conf
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images.
AMAI@MICCAI
Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
2023 J jnl
Isolating Features of Object and Its State for Compositional Zero-Shot Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee
2022 B conf
Bi-Modal Compositional Network for Feature Disentanglement.
ICIP
Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee
2022 J jnl
Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets.
Pattern Recognit.
Bikash Santra, Udita Ghosh, Dipti Prasad Mukherjee
2022 J jnl
Part-based annotation-free fine-grained classification of images of retail products.
Pattern Recognit.
Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee
2021 J jnl
An end-to-end annotation-free machine vision system for detection of products on the rack.
Mach. Vis. Appl.
Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee
2020 J jnl
Deterministic dropout for deep neural networks using composite random forest.
Pattern Recognit. Lett.
Bikash Santra, Angshuman Paul, Dipti Prasad Mukherjee
2020 J jnl
Graph-based non-maximal suppression for detecting products on the rack.
Pattern Recognit. Lett.
Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee
2019 J jnl
A comprehensive survey on computer vision based approaches for automatic identification of products in retail store.
Image Vis. Comput.
Bikash Santra, Dipti Prasad Mukherjee
2018 J jnl
Anubhav: recognizing emotions through facial expression.
Vis. Comput.
Swapna Agarwal, Bikash Santra, Dipti Prasad Mukherjee
2017 — conf
A non-invasive approach for estimation of hemoglobin analyzing blood flow in palm.
ISBI
Bikash Santra, Dipti Prasad Mukherjee, Dipankar Chakrabarti
2016 — conf
Local dominant binary patterns for recognition of multi-view facial expressions.
ICVGIP
Bikash Santra, Dipti Prasad Mukherjee
2016 B conf
Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression.
ICIP
Bikash Santra, Dipti Prasad Mukherjee