Md Mamunur Rahaman

About

I am a researcher working at the intersection of biomedical science and artificial intelligence, developing AI models and computational methods for healthcare. My work focuses on multimodal medical AI (histopathology, radiology, molecular, and clinical data) and building robust, clinically meaningful models for diagnosis, prognosis, and treatment stratification.

Employment

• The Wallace H. Coulter Department of Biomedical Engineering Visiting fellow
  2024 - 2025
• UNSW Sydney Casual Academic Staff
  2022 - Present
• Northeastern University Research Assistant
  2021 - Present
• Macquarie University
• UNSW Sydney

Education

• UNSW Sydney PhD
  2022 - 2025
• Northeastern University MEng in Biomedical Engineering
  2018 - 2021
• BRAC University Dhaka BD BSc in Electrical and Electronic Engineering
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (58)

• Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images
  IEEE Journal of Biomedical and Health Informatics 2026 DOI: 10.1109/JBHI.2025.3584802
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• LRF-CNN
  iScience 2026 DOI: 10.1016/j.isci.2026.115997
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• PET/CT radiomics for non-invasive prediction of immunotherapy efficacy in cervical cancer
  Journal of X-Ray Science and Technology 2025 DOI: 10.1177/08953996251367203
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• COVID-19CT+: A public dataset of CT images for COVID-19 retrospective analysis
  Journal of X-Ray Science and Technology 2025 DOI: 10.1177/08953996251332793
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• An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-0840-9_10
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• Channel-Gated Transformers With Affinity CAM for Weakly Supervised Multi-Class Brain Tumor Segmentation
  IEEE Journal of Biomedical and Health Informatics 2025 DOI: 10.1109/jbhi.2025.3634736
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• Dual-Level Imbalance Mitigation for Single-FoV Colorectal Histopathology Image Classification
  IEEE Journal of Biomedical and Health Informatics 2025 DOI: 10.1109/JBHI.2025.3629064
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• MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-0840-9_9
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• Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics
  Frontiers in Medicine 2025 DOI: 10.3389/fmed.2025.1608652
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• RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images
  Lecture Notes in Computer Science 2025 DOI: 10.1007/978-981-96-0840-9_12
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