A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. - Md. Hasan Al Banna; Tapotosh Ghosh; Kazi Abu Taher; M. Shamim Kaiser; Mufti Mahmud (BI, 2020)

Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. - M. Jaber Al Nahian; Tapotosh Ghosh; Mohammed Nasir Uddin; Md. Maynul Islam; Mufti Mahmud; M. Shamim Kaiser (BI, 2020)

An Attention-Based Mood Controlling Framework for Social Media Users. - Tapotosh Ghosh; Md. Hasan Al Banna; Tazkia Mim Angona; M. Jaber Al Nahian; Mohammed Nasir Uddin; M. Shamim Kaiser; Mufti Mahmud (BI, 2021)

Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach. - Tapotosh Ghosh; M. Shamim Kaiser (TCCE, 2021)

Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction. - Md. Hasan Al Banna; Tapotosh Ghosh; M. Jaber Al Nahian; Kazi Abu Taher; M. Shamim Kaiser; Mufti Mahmud; Mohammad Shahadat Hossain; Karl Andersson 001 (IEEE Access, 2021)

Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features. - M. Jaber Al Nahian; Tapotosh Ghosh; Md. Hasan Al Banna; Mohammed A. Aseeri; Mohammed Nasir Uddin; Muhammad Raisuddin Ahmed; Mufti Mahmud; M. Shamim Kaiser (IEEE Access, 2021)

A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images. - Tapotosh Ghosh; Md. Hasan Al Banna; M. Jaber Al Nahian; M. Shamim Kaiser; Mufti Mahmud; Shaobao Li; Nelishia Pillay (AII, 2022)

Agriculture 4.0 in Bangladesh: Issues and Challenges. - Saleh Akram Joy; Arefin Ittesafun Abian; Shifa Chowdhury Iwase; Syed Ishtiak Rahman; Juairia; Tapotosh Ghosh; Dewan Md. Farid 001 (SKIMA, 2022)

Autoencoder based Consensus Mechanism for Blockchain-enabled Industrial Internet of Things. - Md. Murshedul Arifeen; Tapotosh Ghosh; Rakibul Islam; Akm Ashiquzzaman; Juncheol Yoon; Jinsul Kim (Internet Things, 2022)

Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images. - Andrew Heschl; Hosein Beheshtifard; Phuong Thao Nguyen; Tapotosh Ghosh; Katie L. Ovens; Farhad Maleki (KiTS@MICCAI, 2023)

A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data. - Md. Hasan Al Banna; Tapotosh Ghosh; M. Jaber Al Nahian; M. Shamim Kaiser; Mufti Mahmud; Kazi Abu Taher; Mohammad Shahadat Hossain; Karl Andersson 001 (IEEE Access, 2023)

An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. - Tapotosh Ghosh; Md. Hasan Al Banna; M. Jaber Al Nahian; Mohammed Nasir Uddin; M. Shamim Kaiser; Mufti Mahmud (Expert Syst. Appl., 2023)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. - Farhad Maleki; Linda Moy; Reza Forghani; Tapotosh Ghosh; Katie L. Ovens; Steve Langer; Pouria Rouzrokh; Bardia Khosravi; Ali Ganjizadeh; Daniel I. Warren; Roxana Daneshjou; Mana Moassefi; et al. (CoRR, 2024)

State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence. - Yeaminul Haque; Rahat Shahriar Zawad; Chowdhury Saleh Ahmed Rony; Md. Hasan Al Banna; Tapotosh Ghosh; M. Shamim Kaiser; Mufti Mahmud (Cogn. Comput., 2024)

Agri-FM+: A Self-Supervised Foundation Model for Agricultural Vision. - Md Jaber Al Nahian; Tapotosh Ghosh; Farnaz Sheikhi; Farhad Maleki (CVPR Workshops, 2025)

Should we pre-train a decoder in contrastive learning for dense prediction tasks? - Sébastien Quetin; Tapotosh Ghosh; Farhad Maleki (CoRR, 2025)