Shuvashis Sarker

According to our database, Shuvashis Sarker authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

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

Shuvashis Sarker

CoRR, June, 2025

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

Shuvashis Sarker

CoRR, June, 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, May, 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, May, 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, May, 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, April, 2025

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, February, 2025

2024

Advanced CNN and Explainable AI Based Architecture for Interpretable Brain MRI Analysis.

Shuvashis Sarker Shuvo, Shamim Rahim Refat, Faika Fairuj Preotee, Tashreef Muhammad

Proceedings of the 3rd International Conference on Computing Advancements, 2024