Research Assistant
Medical Imaging Artificial Intelligence Laboratory ↗
MILAB · Yonsei University, Seoul, South Korea
AI & Medical Imaging Researcher
Building reliable AI for better healthcare.
I’m AbdulKhalek Al-Fakih, an AI and data science researcher focused on deep learning, medical image segmentation, and robust clinical solutions.
AI & Data ScienceSejong University · 2026
4.29/4.5
Master’s GPA
21
Research outputs
2×
Best presentation awards
2
Full scholarships
About me
Engineering precision.
Human purpose.
I bridge biomedical engineering and artificial intelligence to solve challenging problems in medical imaging.
After earning my bachelor’s in Systems and Biomedical Engineering from Cairo University, I completed a fully funded master’s in Artificial Intelligence and Data Science at Sejong University. My work explores dependable brain tumor segmentation, MRI synthesis, domain adaptation, and learning from limited or imperfect clinical data.
Medical image segmentation
Generative AI
Robust deep learning
Clinical computer vision
Journey
Education & experience
Master of Science · Research Assistant
Artificial Intelligence & Data Science
Sejong University, Seoul · GPA 4.29/4.5 · Presidential Scholarship & fully funded MITILab research award
Bachelor of Science
Systems & Biomedical Engineering
Cairo University · GPA 3.69/4.0 · Fully funded scholarship from the Yemeni Ministry of Higher Education
Secondary Education
Jamal Abdul Nasser High School
Sana’a, Yemen
Technical toolkit
Built for research.
Ready for impact.
AI & Data
PyTorch · TensorFlow · Deep Learning · Computer Vision · Medical Imaging
Development
Python · C++ · Java · SQL · HTML · CSS · JavaScript · Qt
Hardware & Design
Arduino · STM32 · Proteus · Photoshop · Illustrator
Publications
Research across journals,
conferences & abstracts.
A complete record of published, accepted, under-review, and submitted research from my updated CV.
01
6 papers
Journal papers
Learning robust brain tumor segmentation under label corruption and data scarcity
Engineering Applications of Artificial Intelligence · 162(A), 112322
DOI ↗FLAIR MRI sequence synthesis using squeeze attention generative model for reliable brain tumor segmentation
Alexandria Engineering Journal · 99, 108–123
DOI ↗Regional-aware clinically guided multi-decoder pathway towards reliable brain glioma segmentation
Computers in Biology and Medicine · 201, 111387
DOI ↗MTSS-KDNet: Distilling population-specific expertise for generalizable brain tumor segmentation across diverse cohorts
Scientific Reports
Architectural evolution of GANs for medical image enhancement and super-resolution: A review
Computer Methods and Programs in Biomedicine
Self-supervised registration by generation for precise CT alignment from misaligned CBCT-CT pairs
Neurocomputing
02
6 papers
Conference papers
Overcoming data scarcity: Brain tumor segmentation in pediatric and African populations
3rd Workshop on Data Engineering in Medical Imaging · MICCAI 2025
A comparative evaluation of convolutional, transformer, and diffusion-based architectures for 3D medical image segmentation
9th International Artificial Intelligence and Data Processing Symposium
Two-stage meta-reweighting with dynamic retrieval for segmentation with limited data
29th International Conference on Medical Image Computing and Computer Assisted Intervention · Abu Dhabi
Coarse-to-fine meta-reweighting with dynamic retrieval for adult-to-pediatric domain adaptation in tumor segmentation
MICCAI 2026 · Abu Dhabi
GFP-Suppress: Generalization-oriented false-positive suppression for mammography mass detection
MICCAI 2026 · Abu Dhabi
MammoAgent: Sequential multi-agent with spatial-frequency encoding for generalizable mammographic mass analysis
MICCAI 2026 · Abu Dhabi
03
9 abstracts
Conference abstracts
Coarse-to-fine meta-reweighting with dynamic retrieval for pediatric brain tumor segmentation
2026 Annual Meeting & Exhibition · Cape Town, South Africa
Two-stage meta-learning framework with gradient-based case retrieval for low-data pediatric brain tumor segmentation
ICMRI 2025 · 30th Annual Scientific Meeting of KSMRM
MTSS-KDNet: Multi-teacher single-student knowledge distillation network for generalizable brain tumor segmentation across diverse cohorts
ICMRI 2025 · 30th Annual Scientific Meeting of KSMRM
Meta-learning for robust medical image segmentation: A gradient-similarity reweighting approach to mitigate noisy labels
2025 Annual Meeting & Exhibition · Hawaii, USA
Regional-aware clinically guided multi-decoder pathway towards reliable brain glioma segmentation
2025 Annual Meeting & Exhibition · Hawaii, USA
Enhancing medical imaging with meta-learning: A novel reweighting approach to mitigate noisy labels via gradient similarity
ICMRI 2024 · 29th Annual Scientific Meeting of KSMRM
Regional-based multi-decoder network with clinical guidance for accurate brain tumor segmentation
ICMRI 2024 · 29th Annual Scientific Meeting of KSMRM
Deformation-aware cross-attention transformer for efficient aligned CT generation from misaligned inputs
ICMRI 2024 · 29th Annual Scientific Meeting of KSMRM
Synthesizing missing MRI sequences towards reliable semantic segmentation of brain tumors
2024 ISMRM & ISMRT Annual Meeting · Singapore
A journey of learning
From biomedical engineering to frontier medical AI.
Two degrees, two countries, and one commitment: creating technology that improves clinical care.
Let’s connect