activity
20232026
most citedDeep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

21 citations · 21 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2026

Integrating Local Detail and Global Context: A Dual-Input Multi-Task Learning Framework for Bone Tumor Diagnosis

S. M. Nasif Uddin, Rusab Sarmun, Muhammad E. H. Chowdhury +3

Primary bone tumors are rare but clinically aggressive neoplasms whose diagnosis from radiographs is challenged by heterogeneous morphology, subtle lesion margins, and overlapping…

cs.CV2026

Tracing 3D Anatomy in 2D Strokes: A Multi-Stage Projection Driven Approach to Cervical Spine Fracture Identification

Fabi Nahian Madhurja, Rusab Sarmun, Muhammad E. H. Chowdhury +3

Cervical spine fractures require rapid and accurate diagnosis, yet automatic CT interpretation remains challenging as subtle injuries must be assessed across large 3D volumes. We a…

cs.CV2025

AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging

Saniah Kayenat Chowdhury, Rusab Sarmun, Muhammad E. H. Chowdhury +4

Accurate tumor staging in lung cancer is crucial for prognosis and treatment planning and is governed by explicit anatomical criteria under fixed guidelines. However, most existing…

cs.CV2025

CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram

Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4

Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…

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…

cs.CV2023★ 21 cited

Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun +7

The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic so…