Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis. - Shuvashis Sarker Shuvo; Shamim Rahim Refat; Faika Fairuj Preotee; Tashreef Muhammad (ICCA, 2024)

ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition. - Bidyarthi Paul; Faika Fairuj Preotee; Shuvashis Sarker; Shamim Rahim Refat; Shifat Islam; Tashreef Muhammad; Mohammad Ashraful Hoque; Shahriar Manzoor (CoRR, 2025)

VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification. - Shamim Rahim Refat; Ziyan Shirin Raha; Shuvashis Sarker; Faika Fairuj Preotee; MD. Musfikur Rahman; Tashreef Muhammad; Mohammad Shafiul Islam (CoRR, 2025)

Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI. - Shuvashis Sarker; Shamim Rahim Refat; Faika Fairuj Preotee; Md. Tanvir Rouf Shawon; Raihan Tanvir (CoRR, 2025)

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI. - Faika Fairuj Preotee; Shuvashis Sarker; Shamim Rahim Refat; Tashreef Muhammad; Shifat Islam (CoRR, 2025)

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection. - Shuvashis Sarker; Shamim Rahim Refat; Faika Fairuj Preotee; Shifat Islam; Tashreef Muhammad; Mohammad Ashraful Hoque (CoRR, 2025)

Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh. - Shuvashis Sarker (CoRR, 2025)

A Comprehensive Analysis of COVID-19 Detection Using Bangladeshi Data and Explainable AI. - Shuvashis Sarker (CoRR, 2025)