Marawan Elbatel

Marawan Elbatel

Medical Image Analysis

Download my CV here:

About me


I am a second-year PhD student at the Hong Kong University of Science and Technology, working under the supervision of Xiaomeng Li . My PhD is kindly supported by three grants, two of which are from the Hong Kong government. I previously graduated from an Erasmus Mundus MSc in Medical Imaging, fully sponsored by ECEA, under the supervision of Robert Marti.

My main research interests include domain adaptation, representation transfer, and federated learning, with a specific focus on medical imaging applications.

During my Erasmus Mundus MSc, I had the opportunity to study at three universities across three countries, where I was honored to receive five first-authored awards, which included three challenge victories and two best paper awards at MICCAI conference.

Prior to my MSc in Medical Imaging, I obtained my BSc in Computer Engineering from Cairo University. My BSc thesis, under the guidance of AbdelMoneim Bayoumi and with industrial mentorship from DELL Technologies, was centered on object tracking over a multiple-camera network.

News

  • [09/2024] A paper summarizing a challenge we won, PSFHS Segmentation Challenge, was accepted to MedIA.
  • [06/2024] Three papers were accepted in MICCAI 2024.
  • [06/2024] A paper summarizing a challenge we won, ACR-NCI-NVIDIA Federated Learning challenge, was accepted to MedIA.
  • [02/2024] Serve as AFRICAI Chair in MICCAI 2024.
  • [10/2023] Our team won three international challenge awards in MICCAI 2023.
  • [10/2023] Our MICCAI’23 DeCaF got the Best Paper Award.

Awards

  • HKSAR Government Belt and Road Scholarship (25 awardee in Hong Kong), 2023-2027
  • HKUST PhD Scholarship (RedBird), 2023.
  • 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’22 DART Best Paper Award Sponsored by NVIDIA, 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




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

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

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

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 Martí

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

Paper Code

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

Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition

Marawan Elbatel, Robert Martí, and Xiaomeng Li

MAIA MSc Thesis, 2023

IEEE Transactions on Medical Imaging (IEEE TMI ), 2023

Paper Code

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

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

MAIA MSc Thesis, 2023

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

Paper Code

Pubic Symphysis and Fetal Head Segmentation From Intrapartum Ultrasound Images

Marawan Elbatel, Robert Martí, and Xiaomeng Li

MICCAI'23 Challenge Winners

Medical Image Analysis (MediA), 2024.

Challenge Paper MICCAI'23 Code

ACR-NCI-NVIDIA Federated Learning Challenge

Marawan Elbatel*, Kaouther Mouheb*, and Robert Martí

MICCAI'22 Challenge Winners

University of Girona, Spain

Medical Image Analysis (MediA), 2024.

Challenge Paper Code

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

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