Numan Saeed

Short Bio

As a dedicated researcher passionate about applying cutting-edge technology to healthcare, I specialize in AI for Healthcare, Machine Learning, and Data Science. I completed my Doctor of Philosophy in Machine Learning at the prestigious Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), where I was a Ph.D. student at the BioMedIA lab, as advised by Professor Mohammad Yaqub. My PhD thesis focused on using deep learning for cancer diagnosis and prognosis using multi-modal medical imaging and electronic health record (EHR) data.

I am particularly interested in exploring self-supervised learning, multimodal learning, continual learning, and generative models for AI-based healthcare solutions.

News

[Jan. 2025] 🏆 Awarded a AED 2M research grant from DOH for the project “AI for Cancer Prevention, Prediction, and Prognosis.”
[Nov. 2024] Our paper about the single domain generalization is accepted to WACV 2025.
[Sep. 2024] Two of our papers at MICCAI are accepted for Oral Presentation.
[July. 2024] Our paper about the robustness of segmentation models is accepted to BMVC.
[June. 2024] Selected for MICCAI Young Scientists grant.
[June. 2024] Delivered the Valedictorian speech of Class 2024 @ MBZUAI.
[May. 2024] Our 4 papers are early accepted to MICCAI 2024.
[Dec. 2023] Completed my Ph.D. in Machine Learning @ MBZUAI!
[Sept. 2023] Our paper about the assessment of glioblastoma is accepted to MedIA journal.
[June. 2023] I started working as a Visiting Researcher at the TUM.
[Mar. 2023] Our paper about generalizability is accepted to MIDL 2023.
[June. 2024] Selected for MICCAI Student Travel Award.
[June. 2022] Our paper about cancer diagnosis and prognosis is accepted to MICCAI 2022.
[Sept. 2021] We won the MICCAI Hecktor 2021 prognosis challenge.

Co-Supervised Students

Kudaibergen Abutalip

Fadillah Adamsyah Maani

Ikboljon Sobirov

Aleksandr Matsun

Ibraheem Hamdi

Salem Al Nasi

Darya Taratynova

Selected Publications

MICCAI

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast

Numan Saeed*, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub (*Corresponding authors)

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

PDF Code BibTex Early Accept

MICCAI

PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation

Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

PDF BibTex Early Accept, Oral

MICCAI

CoReEcho: Continuous Representation Learning for 2D+ time Echocardiography Analysis

Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

PDF Code BibTex Early Accept, Oral

MICCAI

HuLP: Human-in-the-Loop for Prognosis

Muhammad Ridzuan, Mai Kassem, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.

PDF Code BibTex Early Accept

MedIA

MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models

Numan Saeed*, Muhammad Ridzuan, Hussain Alasmawi, Ikboljon Sobirov, Mohammad Yaqub (*Corresponding authors)

Medical Image Analysis (MedIA), 2023.

PDF BibTex