An Offbeat Technique for Diabetic Retinopathy Detection using Computer Vision. - Navoneel Chakrabarty; Subhrasankar Chatterjee (ICCCNT, 2019)

FuSENet: fused squeeze-and-excitation network for spectral-spatial hyperspectral image classification. - Swalpa Kumar Roy; Shiv Ram Dubey; Subhrasankar Chatterjee; Bidyut Baran Chaudhuri (IET Image Process., 2020)

Lightweight Spectral-Spatial Squeeze-and- Excitation Residual Bag-of-Features Learning for Hyperspectral Classification. - Swalpa Kumar Roy; Subhrasankar Chatterjee; Siddhartha Bhattacharyya; Bidyut B. Chaudhuri; Jan Platos (IEEE Trans. Geosci. Remote. Sens., 2020)

A Gradient-Based Approach to Interpreting Visual Encoding Models. - Subhrasankar Chatterjee; Debasis Samanta (CVIP (1), 2023)

Adversarial Policy Gradient for Learning Graph-Based Representation in Human Visual Processing. - Subhrasankar Chatterjee; Subrata Pain; Debasis Samanta (Tiny Papers @ ICLR, 2023)

A Novel Graph Representation Learning Approach for Visual Modeling Using Neural Combinatorial Optimization. - Subhrasankar Chatterjee; Subrata Pain; Debasis Samanta (PReMI, 2023)

DreamCatcher: Revealing the Language of the Brain with fMRI using GPT Embedding. - Subhrasankar Chatterjee; Debasis Samanta (CoRR, 2023)

Y-Net: Fusing fMRI and Natural Scenes to Generate Neuro-Interpretable Heat Maps. - Subhrasankar Chatterjee; Debasis Samanta; Monalisa Sarma (BMVC Workshops, 2024)

Voxelwise Visual Modeling of Natural Scenes BOLD fMRI responses using weighted-neighbor based regressor. - Subhrasankar Chatterjee; Shreyansh Verma; Debasis Samanta; Monalisa Sarma (ICCCNT, 2024)

MSSTNet: A multi-stream time-distributed spatio-temporal deep learning model to detect mind wandering from electroencephalogram signals. - Subrata Pain; Subhrasankar Chatterjee; Monalisa Sarma; Debasis Samanta (Comput. Electr. Eng., 2025)