Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression. - Bikash Santra; Dipti Prasad Mukherjee (ICIP, 2016)

Local dominant binary patterns for recognition of multi-view facial expressions. - Bikash Santra; Dipti Prasad Mukherjee (ICVGIP, 2016)

A non-invasive approach for estimation of hemoglobin analyzing blood flow in palm. - Bikash Santra; Dipti Prasad Mukherjee; Dipankar Chakrabarti (ISBI, 2017)

Anubhav: recognizing emotions through facial expression. - Swapna Agarwal; Bikash Santra; Dipti Prasad Mukherjee (Vis. Comput., 2018)

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)

Deterministic dropout for deep neural networks using composite random forest. - Bikash Santra; Angshuman Paul; Dipti Prasad Mukherjee (Pattern Recognit. Lett., 2020)

Graph-based non-maximal suppression for detecting products on the rack. - Bikash Santra; Avishek Shaw; Dipti Prasad Mukherjee (Pattern Recognit. Lett., 2020)

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)

Bi-Modal Compositional Network for Feature Disentanglement. - Aditya Panda; Bikash Santra; Dipti Prasad Mukherjee (ICIP, 2022)

Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets. - Bikash Santra; Udita Ghosh; Dipti Prasad Mukherjee (Pattern Recognit., 2022)

Part-based annotation-free fine-grained classification of images of retail products. - Bikash Santra; Avishek Shaw; Dipti Prasad Mukherjee (Pattern Recognit., 2022)

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. - Bikash Santra; Abhishek Jha; Pritam Mukherjee; Mayank Patel 003; Karel Pacak; Ronald M. Summers (AMAI@MICCAI, 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., 2023)

Which Region Proposal to Choose? A Case Study for Automatic Identification of Retail Products. - Bikash Santra; Dipti Prasad Mukherjee (IVCNZ, 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 003; Karel Pacak; Ronald M. Summers (Comput. Medical Imaging Graph., 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 003; Karel Pacak; Ronald M. Summers (CoRR, 2024)

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 003; Akshaya Anand; Ronald M. Summers (Comput. Medical Imaging Graph., 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 003; Darko Pucar; Jayadira del Rivero; et al. (CoRR, 2025)