551 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Swakkhar Shatabda2 profiles20 · h 31
- Sami Azam2 profiles8 · h 14
- C. R. Rahman7 · h 6
- Mohaimenul Azam Khan Raiaan2 profiles7 · h 13
- Md. Rafiqul Islam6 · h 1
- Chowdhury Mofizur Rahman3 profiles4 · h 17
- Sajid Ahmed4 · h 13
- S. Islam4 · h 17
- A. Khandoker3 · h 38
- Arefin Ittesafun Abian3 · h 3
- D. Farid3 · h 25
- Fahim Hafiz3 · h 3
- BRAC UniversityBD9 papers
- Bangladesh University of Engineering and TechnologyBD8 papers
- Charles Darwin UniversityAU8 papers
- Pennsylvania State UniversityUS6 papers
- Artificial Intelligence in Medicine (Canada)CA5 papers
- Monash UniversityAU5 papers
- North South UniversityBD4 papers
- University of DhakaBD4 papers
- Khalifa University of Science and TechnologyAE3 papers
- Lappeenranta-Lahti University of TechnologyFI3 papers
- Stamford University BangladeshBD3 papers
- University of Asia PacificBD3 papers
3 papers · 1 filter
Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans
Md Mahmudul Hoque, Md Mehedi Hassain, Muntakimur Rahaman +3
Polycystic Ovary Syndrome (PCOS) is the most familiar endocrine illness in women of reproductive age. Many Bangladeshi women suffer from PCOS disease in their older age. The aim of…
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
Arefin Ittesafun Abian, Ripon Kumar Debnath, Md. Abdur Rahman +5
Accurate liver and tumor segmentation on abdominal CT images is critical for reliable diagnosis and treatment planning, but remains challenging due to complex anatomical structures…
DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images
Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3
Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…