Analysis of Multi-class Classification of EEG Signals Using Deep Learning. - Dipayan Das 004; Tamal Chowdhury; Umapada Pal 001 (ICPRAI, 2020)

CSNet: A new DeepNet framework for ischemic stroke lesion segmentation. - Amish Kumar; Neha Upadhyay; Palash Ghosal; Tamal Chowdhury; Dipayan Das 004; Amritendu Mukherjee; Debashis Nandi (Comput. Methods Programs Biomed., 2020)

Contact-Less Heart Rate Detection in Low Light Videos. - Tamal Chowdhury; Sukalpa Chanda; Saumik Bhattacharya; Soma Biswas; Umapada Pal 001 (ACPR (1), 2021)

DCINN: Deformable Convolution and Inception Based Neural Network for Tattoo Text Detection Through Skin Region. - Tamal Chowdhury; Palaiahnakote Shivakumara; Umapada Pal 001; Tong Lu; Ramachandra Raghavendra; Sukalpa Chanda (ICDAR (2), 2021)

Exploring the Correlation Between Deep Learned and Clinical Features in Melanoma Detection. - Tamal Chowdhury; Angad R. S. Bajwa; Tapabrata Chakraborti; Jens Rittscher; Umapada Pal 001 (MIUA, 2021)

MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. - Palash Ghosal; Tamal Chowdhury; Amish Kumar; Ashok Kumar Bhadra; Jayasree Chakraborty; Debashis Nandi (Comput. Methods Programs Biomed., 2021)

A Neuro Inspired Pulse Density Modulator Sensing Unipolar and Bipolar Current Signals. - Tamal Chowdhury; Pradip Mandal (VLSID, 2024)

Bidirectional Spiking Neuron Based Dual-Mode Signal Acquisition Front-End System. - Tamal Chowdhury; Pradip Mandal (VLSID, 2025)