Portrait of Riyadul Islam

Riyadul Islam

  • Intern, CCDS

Bachelors, Daffodil International University

Publications (8)

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

Conference PaperDOIURL
  • Glioblastoma
  • brain tumor segmentation
  • SegFormer
  • EfficientNetB3
  • Magnetic resonance imaging
  • encoder comparison
  • SDG 3Good Health and Well-being

Siam Tahsin Bhuiyan, Halima Khatun, Samiul Karim Mazumder, Fatin Israq, Riyadul Islam, Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

The Role of Model Architecture in Breast Cancer Classification: A Comparison of CNN and Transformer Paradigms on Ultrasound Data

2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 356-361, 2025

Conference PaperDOIURL
  • DenseNet121
  • breast cancer classification
  • Swin Transformer
  • model architecture comparison
  • breast ultrasound
  • BUSI dataset
  • ConvNeXt
  • CNN-Transformer hybrid
  • vision transformer
  • self-attention
  • SDG 3Good Health and Well-being

Md Zafor Iqbal, Siam Tahsin Bhuiyan, Riyadul Islam, Halima Khatun, Samiul Karim Mazumder, Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

A Two-Stage Deep Learning Framework for Liver and Hepatocellular Carcinoma Segmentation on MRI

2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), pp. 359-364, 2025

Conference PaperDOIURL
  • U-Net
  • Hepatocellular carcinoma
  • tumor segmentation
  • liver segmentation
  • Magnetic resonance imaging
  • two-stage segmentation
  • train-test split
  • data bias
  • Dice coefficient
  • small cohorts
  • SDG 3Good Health and Well-being

Abdullah Al Alam Shanto, Mumtahina Esha, Sadia Alam Kotha, Riyadul Islam, Sefatul Wasi, Siam Tahsin Bhuiyan, Rashedur Rahman, Saadia Binte Alam

Assessing the Impact of Architectural Design in Deep Learning Models for Fundus-Based Ocular Disease Detection

2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), pp. 1-6, 2025

Conference PaperDOIURL
  • diabetic retinopathy
  • myopia
  • age-related macular degeneration
  • EfficientNetB3
  • eye disease diagnosis
  • fundus images
  • cataract
  • model interpretability
  • Grad-CAM
  • vision transformer
  • SDG 3Good Health and Well-being
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