Bikash Santra

According to our database, Bikash Santra authored at least 18 papers between 2016 and 2025.

Collaborative distances:

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

2025

A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT.

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

CoRR, July, 2025

Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans.

Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers

Comput. Medical Imaging Graph., 2025

2024

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.

David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers

CoRR, 2024

Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.

David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers

Comput. Medical Imaging Graph., 2024

Which Region Proposal to Choose? A Case Study for Automatic Identification of Retail Products.

Bikash Santra, Dipti Prasad Mukherjee

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

2023

Isolating Features of Object and Its State for Compositional Zero-Shot Learning.

Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images.

Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers

Proceedings of the Applications of Medical Artificial Intelligence, 2023

2022

Part-based annotation-free fine-grained classification of images of retail products.

Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee

Pattern Recognit., 2022

Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets.

Bikash Santra, Udita Ghosh, Dipti Prasad Mukherjee

Pattern Recognit., 2022

Bi-Modal Compositional Network for Feature Disentanglement.

Aditya Panda, Bikash Santra, Dipti Prasad Mukherjee

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

An end-to-end annotation-free machine vision system for detection of products on the rack.

Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee

Mach. Vis. Appl., 2021

2020

Graph-based non-maximal suppression for detecting products on the rack.

Bikash Santra, Avishek Shaw, Dipti Prasad Mukherjee

Pattern Recognit. Lett., 2020

Deterministic dropout for deep neural networks using composite random forest.

Bikash Santra, Angshuman Paul, Dipti Prasad Mukherjee

Pattern Recognit. Lett., 2020

2019

A comprehensive survey on computer vision based approaches for automatic identification of products in retail store.

Bikash Santra, Dipti Prasad Mukherjee

Image Vis. Comput., 2019

2018

Anubhav: recognizing emotions through facial expression.

Swapna Agarwal, Bikash Santra, Dipti Prasad Mukherjee

Vis. Comput., 2018

2017

A non-invasive approach for estimation of hemoglobin analyzing blood flow in palm.

Bikash Santra, Dipti Prasad Mukherjee, Dipankar Chakrabarti

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Local dominant binary patterns for recognition of multi-view facial expressions.

Bikash Santra, Dipti Prasad Mukherjee

Proceedings of the Tenth Indian Conference on Computer Vision, 2016

Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression.

Bikash Santra, Dipti Prasad Mukherjee

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016