3 papers
eess.IV2026
LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
Md. Zihad Bin Jahangir, Muhammad Ashad Kabir, Sumaiya Akter +2
Automated radiology report generation holds significant potential to reduce radiologists' workload and enhance diagnostic accuracy. However, generating precise and clinically meani…
cs.LG2026
Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings
Muhammad Ashad Kabir, Sirajam Munira, Dewan Tasnia Azad +3
Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools - primarily developed using po…
cs.LG2025
BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech
Riad Hossain, Muhammad Ashad Kabir, Arat Ibne Golam Mowla +2
Parkinson's disease (PD) poses a growing global health challenge, with Bangladesh experiencing a notable rise in PD-related mortality. Early detection of PD remains particularly ch…