Marawan Elbatel

Marawan Elbatel

Medical Image Analysis

Download my CV here:

About me


I am a final-year PhD Candidate at the Hong Kong University of Science and Technology, specializing in AI for Medical Imaging under the supervision of Xiaomeng Li. My doctoral research focuses on multi-modal large-scale vision–language models. My studies are supported by three grants, including two from the Hong Kong government. I also serve as the Vice President of AFRICAI within the MICCAI Society, where I contribute to community outreach and educational initiatives.

Prior to my PhD, I earned an Erasmus Mundus MSc in Medical Imaging, MAIA. Fully funded by the EACEA, MAIA involved studying at three universities across three countries and was completed under the supervision of Robert Marti. During my MSc, I received five first-authored awards, including three challenge victories and two best paper awards at the MICCAI conference.

I hold a BSc in Computer Engineering from Cairo University. My undergraduate thesis, supervised by AbdelMoneim Bayoumi with industrial mentorship from DELL Technologies, focused on object tracking over multiple-camera networks.

News

Awards

  • HKSAR Government Belt and Road Scholarship (25 awardee in Hong Kong), 2023-2026
  • HKUST PhD Scholarship (RedBird), 2023.
  • Kenya Clinical Reasoning LLM Challenge Runner-Up, 2025. (collaboration)
  • MICCAI'23 EndoVis-SynISS Challenge Winners, 2023. (1st Author)
  • MICCAI’23 PS-FH-AoP Challenge Winners, 2023. (1st author, Aloha Team)
  • MICCAI’22 NVIDIA Breast density federated learning Challenge Winners, 2022. (Joint 1st Author)
  • MICCAI’23 Tumor Segmentation in 3D Breast Ultrasound Challenge Runner-Up, 2023. (collaboration)
  • Multiple Object Tracking Benchmark, MOT20Det Runner-up during BSc. (1st Author)
  • MICCAI’23 LMIC Participation Grant, 2023. (in person)
  • MICCAI’22 Society Participation Grant (In Person), 2022.
  • Research Fellowship, University of Bradford (one awardee in the department), 2020
  • Research Fellowship, Egypt-Japan Education Partnership (EJEP) (2 awardees in the department), 2019
  • Undergraduate Tuition Fee Scholarship at Cairo University, 2016-2021


Publications




MedSapiens: Taking a Pose to Rethink Medical Imaging Landmark Detection
MedSapiens: Taking a Pose to Rethink Medical Imaging Landmark Detection

Marawan Elbatel*, Anbang Wang*, Keyuan Liu, Kaouther Mouheb, Enrique Almar-Munoz, Lizhuo Lin, Yanqi Yang, Karim Lekadir, and Xiaomeng Li
*Equal contribution; supervised Year-2 Undergraduate author

Medical Image Analysis (MedIA), 2025, [Q1, IF: 11.8]

Paper Code
Adaptive Frame Selection for GA
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos

Tanya Akumu, Marawan Elbatel, Victor M. Campello, Richard Osuala, Carlos Martin-Isla, Ignacio Valenzuela, Xiaomeng Li, Bishesh Khanal, and Karim Lekadir

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 [Oral presentation (<2.2%)]

Paper Code
Geometric-Guided Few-Shot Dental Landmark Detection
Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model

Anbang Wang*, Marawan Elbatel*, Keyuan Liu, Lizhuo Lin, Meng Lan, Yanqi Yang, and Xiaomeng Li
*Equal contribution; supervised Year-2 Undergraduate author

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025

Paper Code
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation

Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, and Xiaomeng Li

Transactions on Machine Learning Research (TMLR), 2024

Paper Code
FoPro-KD
Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images

Marawan Elbatel, Keyuan Liu, Yanqi Yang, and Xiaomeng Li

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [Oral presentation (<2.8%)]

Paper Code
FoPro-KD
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis

Marawan Elbatel, Konstantinos Kamnitsas, and Xiaomeng Li

Medical Image Computing and Computer Assisted Intervention (MICCAI ), 2024

Paper Code
FoPro-KD
Evaluating the Fairness of Neural Collapse in Medical Image Classification

Kaouther Mouheb, Marawan Elbatel, Stefan Klein, and Esther E. Bron

Medical Image Computing and Computer Assisted Intervention (MICCAI ), 2024

Paper Code
FoPro-KD
Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis

Muhammad Alberb, Marawan Elbatel, Aya Elgebaly, Ricardo Montoya-del-Angel, Xiaomeng Li, and Robert MartĂ­

MICCAI'24 Advancing Data Solutions in Medical Imaging AI (ADSMI) Workshop, 2024

Paper Code
FoPro-KD
Self-prompting Large Vision Models for Few-Shot Medical Image Segmentation

Qi Wu, Yuyao Zhang, and Marawan Elbatel

Undergraduate Research Supervision, 2023

MICCAI'23 Domain Adaptation and Representation Transfer (DART) Workshop, 2023

Paper Code
FoPro-KD
Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Marawan Elbatel, Robert MartĂ­, and Xiaomeng Li

IEEE Transactions on Medical Imaging (IEEE TMI ), 2023

Paper Code
FedMAS
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification

Marawan Elbatel, Hualiang Wang, Robert MartĂ­, Huazhu Fu, and Xiaomeng Li

MAIA MSc Thesis, 2023

MICCAI'23 Best Paper Award @ Distributed, Collaborative and Federated Learning (DeCaF) Workshop.

Paper Code
FedMAS
Kenya Clinical Reasoning LLM Challenge

Yi Qin, Marawan Elbatel, and Xiaomeng Li

1st on validation and test leaderboards , 2nd place overall

Leaderboard Paper (Coming Soon)
FedMAS
Pubic Symphysis and Fetal Head Segmentation From Intrapartum Ultrasound Images

Marawan Elbatel, Robert MartĂ­, and Xiaomeng Li

MICCAI'23 Challenge Winners

Medical Image Analysis (MediA), 2024.

Challenge Paper MICCAI'23 Code
FedMAS
EndoVis: Synthetic data for Instrument Segmentation in Surgery

Marawan Elbatel and Xiaomeng Li

MICCAI'23 Challenge Winners

Paper (Coming Soon) MICCAI'23 Code
breast FL
ACR-NCI-NVIDIA Federated Learning Challenge

Marawan Elbatel*, Kaouther Mouheb*, and Robert MartĂ­

MICCAI'22 Challenge Winners

University of Girona, Spain

Medical Image Analysis (MediA), 2024.

Challenge Paper Code
fetoscopy image
SISSI: Seamless Iterative Semi-Supervised Correction of Imperfect Labels

Marawan Elbatel*, Christina Bornberg*, Manasi Kattel, Enrique Almar, Claudio Marrocco, and Alessandro Bria

Cell Cytotoxicity Grading: Object Detection With Noisy and Missing Annotation. Learning from partially and weakly annotated data in a cross-domain setting.

University of Cassino, Italy

MICCAI'22 Best Paper Award @ Domain Adaptation and Representation Transfer (DART) Workshop.

Paper Code
Persolo - Person Detection in Crowds

A YOLO-V4 based Pedestrian Detection Model that amplifies the person class bias in YOLO V4 model for more accurate prediction.

Marawan Elbatel

University of Cairo, Egypt, 2020-2021.

MOT20Det Challenge Code
People
Scalable Video Surveillance System for Contact Tracing.

Tracking Multiple People Over a Network of Cameras, Cairo, Egypt.

Dell Technologies, Cairo, Egypt, 2020-2021.

Timeline

Education & Experience