Md. Rashedur Rahman, D. Eng.

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Halima Khatun, Ashraful Islam, AKM Mahbubur Rahman, Saadia Binte Alam, M Ashraful Amin

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health

arXiv (Cornell University), 2026

• perceptual hashing
• pelvic radiography
• multi-scale feature fusion
• polycystic ovary syndrome
• channel and spatial attention
• pelvic fractures
• pelvic ultrasound
• multi-head self-attention

• SDG 3Good Health and Well-being
• SDG 5Gender Equality

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Halima Khatun, Manosh Sur Chowdhury, Riyadul Islam, Samiul Karim Mazumder, Naomi Yagi, Syoji Kobashi, Saadia Binte Alam

Beyond the pelvic ring: benchmarking multi-bone segmentation for ROI-Guided fracture detection

Scientific Reports 16(1), pp. 24508, 2026

• pelvic fractures
• Grad-CAM interpretability
• automated fracture detection
• pelvic radiography

• SDG 3Good Health and Well-being

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Riyadul Islam, Syoji Kobashi, Ashraful Islam, Saadia Binte Alam

SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis

arXiv (Cornell University), 2026

• cross-attention fusion
• chest X-ray classification
• dual-stream architecture
• gating mechanism
• task difficulty
• confidence calibration

• SDG 3Good Health and Well-being

Md Shaheenur Islam Sumon, Muhammad EH Chowdhury, Saadia Binte Alam, Rashedur Rahman, Hadil Aldhubiea, Serkan Kiranyaz, Shahjada Selim, Raihan Anwar, Rashad Alfkey, Samir Fazal Manam, Md Mezbah Ahmed Mahedi, Tahmid Zaman Raad

Accurate Diabetic Foot Ulcer Segmentation: A Human-Machine Collaborative Approach with EfficientNet and Self-ONN FPN

Cognitive Computation 18(1), pp. 90, 2026

• Diabetic foot ulcer
• EfficientNetB3
• computer-aided diagnosis
• ground truth annotation
• human-machine collaboration
• staples

• SDG 3Good Health and Well-being

Siam Tahsin Bhuiyan, Rashedur Rahman, Ashraful Islam

Benchmarking CNN Architectures Using Transfer Learning for Lipomatous Tumor Classification: A Comprehensive Study

Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia, July 6-8, 2026, Proceedings, Part II, pp. 171, 2026

In: Advances and Trends in Artificial Intelligence. Theory and Applications

• well-differentiated liposarcoma
• DenseNet121
• transfer learning
• InceptionV3
• T1-weighted imaging
• ResNet50
• EfficientNetB3
• MobileNetV2
• benign lipoma
• false positive rate

• SDG 3Good Health and Well-being

Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Rashedur Rahman, Md Asif Bin Khaled, Ashraful Islam, M. Ashraful Amin

Evaluating the Impact of Image Preprocessing on Deep Learning-Based Fetal Ultrasound Classification Under Class Imbalance

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 128-135, 2026

• image preprocessing
• class imbalance
• deep learning classification
• prenatal ultrasound
• medical image classification
• prenatal diagnosis

• SDG 3Good Health and Well-being

Siam Tahsin Bhuiyan, Zayan Zaman, Rashedur Rahman, Manosh Sur Choudhury, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, Syoji Kobashi

CheXNet-CBAM: Enhancing Large-scale Medical Pre-training with Attention for Lung Disease Diagnosis

2026 IEEE 56th International Symposium on Multiple-Valued Logic (ISMVL), pp. 105-110, 2026

• CBAM
• CheXNet
• DenseNet121
• lung disease classification
• Grad-CAM
• chest radiography
• computer-aided diagnosis
• multi-class classification
• attention mechanism

• SDG 3Good Health and Well-being

Md Yousuf, Abbas Yasin, Muaaz Mohammad, Fatin Israq, Siam Tahsin Bhuiyan, Rashedur Rahman, Saadia Binte Alam, Ashraful Islam

Deep Learning Framework for Automated Pulmonary Nodule Identification and Anatomical Segmentation in Thoracic CT Scans

2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1-6, 2026

• chest CT
• lung nodule detection
• U-Net
• LUNA16 dataset
• low-dose CT screening
• encoder-decoder architecture
• lung segmentation

• SDG 3Good Health and Well-being

Istiaq Ahmed, Faiza Omar Arpita, Ashraful Islam, Rashedur Rahman, M Ashraful Amin

Comparative Analysis of Digital Food Ecosystems in Bangladesh: Commercial Platforms versus F-Commerce

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp. 1-8, 2026

• food justice
• food sovereignty
• local agriculture
• women entrepreneurs
• food delivery apps
• culinary heritage
• class hierarchy
• Food security
• community food systems
• Bangladesh

• SDG 2Zero Hunger
• SDG 10Reduced Inequalities
• SDG 5Gender Equality

Md Shaheenur Islam Sumon, Saadia Binte Alam, Rashedur Rahman, Rusab Sermun, Md Mezbah Ahmed Mahedi, Zaid Bin Mahbub, Rumana Habib, Muhammad EH Chowdhury

FootSegONN: an ensemble of Self-ONN-based models for diabetic foot ulcer segmentation

Neural Computing and Applications 38(5), pp. 121, 2026

• Diabetic foot ulcer
• Grad-CAM interpretability

• SDG 3Good Health and Well-being