most citedA Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN

3 citations · 4 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

HierarchiRetina: A Diabetic Retinopathy Screening and Grading Cascade with Heterogeneous Mixture-of-Experts Lesion Segmentation

Md Asif Uddin, Niloy Farhan, Rafeed Rahman +1

Clinical screening for diabetic retinopathy proceeds in stages, yet most automated systems grade fundus images with a single black-box network. Three gaps remain: (i) lesions diffe…

cs.CV2026

An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis

Md. Sajeebul Islam Sk., Md. Mehedi Hasan Shawon, Md. Golam Rabiul Alam

Lumbar Spinal Stenosis (LSS) diagnosis remains a critical clinical challenge, with diagnosis heavily dependent on labor-intensive manual interpretation of multi-view Magnetic Reson…

cs.CL2026

Retrieval Augmented Enhanced Dual Co-Attention Framework for Target Aware Multimodal Bengali Hateful Meme Detection

Raihan Tanvir, Md. Golam Rabiul Alam

Hateful content on social media increasingly appears as multimodal memes that combine images and text to convey harmful narratives. In low-resource languages such as Bengali, autom…

cs.AI2026★ 3 cited

A Hybrid Federated Learning Based Ensemble Approach for Lung Disease Diagnosis Leveraging Fusion of SWIN Transformer and CNN

Asif Hasan Chowdhury, Md. Fahim Islam, M Ragib Anjum Riad +3

The significant advancements in computational power cre- ate a vast opportunity for using Artificial Intelligence in different ap- plications of healthcare and medical science. A H…

cs.CV2025

Erase to Retain: Low Rank Adaptation Guided Selective Unlearning in Medical Segmentation Networks

Nirjhor Datta, Md. Golam Rabiul Alam

The ability to selectively remove knowledge from medical segmentation networks is increasingly important for privacy compliance, ethical deployment, and continual dataset revision.…

cs.LG2025

Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees

Md Abrar Hasnat, Md Jobayer, Md. Mehedi Hasan Shawon +1

Cardiovascular disease (CVD) remains a critical global health concern, demanding reliable and interpretable predictive models for early risk assessment. This study presents a large…

cs.CL2025

RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects

Md. Rezuwan Hassan, Azmol Hossain, Kanij Fatema +13

The Bengali language, spoken extensively across South Asia and among diasporic communities, exhibits considerable dialectal diversity shaped by geography, culture, and history. Pho…

cs.SD2025

SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation

Ummy Maria Muna, Md Mehedi Hasan Shawon, Md Jobayer +3

The automated analysis of phonocardiograms is vital for the early diagnosis of cardiovascular disease, yet supervised deep learning is often constrained by the scarcity of expert-a…

cs.LG2025★ 1 cited

FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis

Md. Sajeebul Islam Sk., Md Jobayer, Md Mehedi Hasan Shawon +1

Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, underscoring the importance of accurate and scalable diagnostic systems. Electrocardiogram (ECG) analy…