Riad Hassan

riad_hassan@outlook.com

I am Riad Hassan, a passionate researcher and lecturer specializing in computer vision, medical image analysis, and deep learning. I hold an MSc from BUET (GPA 3.92/4.00, top 1%), where I developed an uncertainty-driven boundary-refined CNN for medical image segmentation.

With a proven record of publications in venues such as IEEE ISBI and PLOS ONE, my research focuses on efficient segmentation networks, attention-based architectures, and adaptive loss functions—with source code openly available. As part of the BioRAIN research group, I work on cutting-edge projects bridging AI and healthcare.

I am seeking a PhD opportunity to conduct impactful research and publish in leading journals (TMI, PAMI, MIA, TIP) and conferences (CVPR, MICCAI, MIDL, ISBI, ICLR, ECCV). I bring expertise in Python, PyTorch, and large-scale experimentation, aiming to advance the state of the art in medical imaging and AI.

News

Nov 01, 2024	Successfully completed MSc from BUET! Thesis: Uncertainty driven boundary refined CNN for medical image segmentation :graduation_cap:
Aug 01, 2024	New paper on prostate cancer grade classification accepted at DICTA 2024!
Jun 01, 2024	Our paper “UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation” has been published in PLOS ONE! [Source Code]
May 01, 2024	Excited to share that our work “Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation” was presented at IEEE ISBI 2024 by Professor Clinton Fookes! [Source Code]
Feb 01, 2024	Thrilled to announce my appointment as Program Coordinator of CSE Department at Green University of Bangladesh!

Latest Posts

May 22, 2025	Box Plot vs Violin Plot: Which One is More Powerful for Research Articles?

Selected Publications

UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation

Riad Hassan, M. Rubaiyat Hossain Mondal, and Sheikh Iqbal Ahamed

PLOS ONE, Jun 2024

DOI Bib Code

@article{10.1371/journal.pone.0304771,
  doi = {10.1371/journal.pone.0304771},
  author = {Hassan, Riad and Mondal, M. Rubaiyat Hossain and Ahamed, Sheikh Iqbal},
  journal = {PLOS ONE},
  publisher = {Public Library of Science},
  title = {UDBRNet: A novel uncertainty driven boundary refined network for organ at risk segmentation},
  year = {2024},
  month = jun,
  volume = {19},
  pages = {1-18},
  number = {6}
}

Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation

Abdullah Nazib, Riad Hassan, Zahidul Islam, and Clinton Fookes

In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Jun 2024

DOI Bib PDF Code

@inproceedings{10635587,
  author = {Nazib, Abdullah and Hassan, Riad and Islam, Zahidul and Fookes, Clinton},
  booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
  title = {Uncertainty Driven Bottleneck Attention U-Net For Organ at Risk Segmentation},
  year = {2024},
  volume = {},
  number = {},
  pages = {1-5},
  address = {Athens, Greece},
  doi = {10.1109/ISBI56570.2024.10635587},
}