7 citations · 18 across the 5 of their papers we have counts for
5 papers
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…
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.…
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…
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…
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,…