Siam Tahsin Bhuiyan

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

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

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

Atif Iqbal, Mohammed Raiyan Nur Hridoy, Ilma Hossain Mim, Riyadul Islam, Siam Tahsin Bhuiyan, Sefatul Wasi, Farhana Sarkar, Saadia Binte Alam

A Morphology-Aware Preprocessing Pipeline for Improved Glioblastoma Segmentation in Brain MRI Using Hybrid Segformer

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

• Glioblastoma
• brain tumor segmentation
• SegFormer
• EfficientNetB3
• Magnetic resonance imaging
• encoder comparison

• 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

Nur E Jannat Hema, Manosh Sur Choudhury, Sefatul Wasi, Siam Tahsin Bhuiyan, Fatin Israq, Noushin Anan, Saadia Binte Alam, Ashraful Islam, Rashedur Rahman

A Comprehensive Benchmark Study of Transfer Learning-Based Deep Learning Models for Brain Tumor Classification

2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), pp. 1-6, 2026

• transfer learning
• brain tumor classification
• medical image classification
• deep learning models
• benchmark study

• SDG 3Good Health and Well-being

Md Faiyaz Abdullah Sayeedi, Rashedur Rahman, Siam Tahsin Bhuiyan, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, AKM Rahman

Route, Retrieve, Reflect, Repair: Self-Improving Agentic Framework for Visual Detection and Linguistic Reasoning in Medical Imaging

arXiv (Cornell University), 2026

• vision-language models
• medical image analysis
• chest X-ray report generation
• exemplar memory
• LLM-as-a-judge
• agentic framework
• spatial grounding
• prompt routing
• multimodal agents

• SDG 3Good Health and Well-being

Fatin Israq, Sefatul Wasi, Sazin Bin Noor, Siam Tahsin Bhuiyan, Saadia Binte Alam, Rashedur Rahman

Ultrasound Image-Based Liver Disease Detection Using Transfer Learning: A Comparative Analysis of CNN and Their Variants

2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), pp. 744-750, 2026

• ConvNeXt
• liver disease detection
• MobileNetV2
• transfer learning
• convolutional neural networks
• EfficientNet-B2
• ultrasonography
• inference latency
• lightweight convolutional neural network

• SDG 3Good Health and Well-being