2 papers
cs.LG2025
EXGnet: a single-lead explainable-AI guided multiresolution network with train-only quantitative features for trustworthy ECG arrhythmia classification
Tushar Talukder Showrav, Soyabul Islam Lincoln, Md. Kamrul Hasan
Deep learning has significantly propelled the performance of ECG arrhythmia classification, yet its clinical adoption remains hindered by challenges in interpretability and deploym…
eess.IV2025
XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data
Soyabul Islam Lincoln, Mirza Mohd Shahriar Maswood
A common neurodegenerative disease, Alzheimer's disease requires a precise diagnosis and efficient treatment, particularly in light of escalating healthcare expenses and the expand…