3 papers
eess.IV2026
ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI
Ashiqur Rahman, Muhammad E. H. Chowdhury, Md. Abu Sayed +3
Accurate segmentation of fetal brain tissues in Magnetic Resonance Imaging (MRI) is critical for early diagnosis of congenital abnormalities and improving prenatal care. However, t…
eess.IV2026
A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography
Ashiqur Rahman, Md. Abu Sayed, Md Sharjis Ibne Wadud +3
Accurate segmentation of gastrointestinal (GI) organs in magnetic resonance enterography (MRE) is critical for diagnosing inflammatory bowel disease (IBD). However, anatomical vari…
eess.IV2025
Deep Learning-Driven Segmentation of Ischemic Stroke Lesions Using Multi-Channel MRI
Ashiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud +4
Ischemic stroke, caused by cerebral vessel occlusion, presents substantial challenges in medical imaging due to the variability and subtlety of stroke lesions. Magnetic Resonance I…