most citedVR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification

11 citations · 31 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Cross-Dialect NER for Bangla Regional Dialects Using Leave-One-Dialect-Out Cross-Validation and Explainable AI

Shamim Rahim Refat, Faika Fairuj Preotee, Shuvashis Sarker +3

Bangla, the seventh most spoken language in the world, exhibits significant regional dialectal diversity, with dialects such as Barishal, Chattogram, Sylhet, Noakhali, and Mymensin…

cs.CV2025★ 4 cited

An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection

Shuvashis Sarker, Shamim Rahim Refat, Faika Fairuj Preotee +3

The brain is a highly complex organ that manages many important tasks, including movement, memory and thinking. Brain-related conditions, like tumors and degenerative disorders, ca…

cs.CV2025★ 4 cited

An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI

Faika Fairuj Preotee, Shuvashis Sarker, Shamim Rahim Refat +2

Leaf diseases are harmful conditions that affect the health, appearance and productivity of plants, leading to significant plant loss and negatively impacting farmers' livelihoods.…

eess.IV2025★ 3 cited

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 +2

Advanced diagnostic instruments are crucial for the accurate detection and treatment of lung diseases, which affect millions of individuals globally. This study examines the effect…

eess.IV2025

A Comprehensive Analysis of COVID-19 Detection Using Bangladeshi Data and Explainable AI

Shuvashis Sarker

COVID-19 is a rapidly spreading and highly infectious virus which has triggered a global pandemic, profoundly affecting millions across the world. The pandemic has introduced unpre…

eess.IV2025★ 7 cited

Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh

Shuvashis Sarker

Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malignant tumors being more perilous due to their swift and uncontrolled proliferation,…

cs.CV2025★ 11 cited

VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification

Shamim Rahim Refat, Ziyan Shirin Raha, Shuvashis Sarker +4

Diabetic retinopathy is a severe eye condition caused by diabetes where the retinal blood vessels get damaged and can lead to vision loss and blindness if not treated. Early and ac…

cs.CL2025★ 2 cited

ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition

Bidyarthi Paul, Faika Fairuj Preotee, Shuvashis Sarker +5

Named Entity Recognition (NER) in regional dialects is a critical yet underexplored area in Natural Language Processing (NLP), especially for low-resource languages like Bangla. Wh…