AiR

This is the repo. for the projects offered at our special edition of the AI in Radiology Seminar with the German University in Cairo

Code repository ↗
AI in Radiology (AiR) seminar.

Research themes

Medical Imaging

People

Shadi Albarqouni

1. Project Overview

This exercise introduces students to medical image classification using deep learning on Chest X-ray datasets.
Students will explore model performance, generalization, and robustness by training models on a subset of X-rays and evaluating them under controlled challenges such as class imbalance and out-of-distribution (OOD) testing.

Learning goals:

  • Understand the deep learning workflow for medical image classification.
  • Use pre-trained foundation models (e.g., ResNet, DenseNet, or ViT from torchvision or timm) for feature extraction.
  • Handle imbalanced data and evaluate OOD performance.
  • Develop critical insight into model reliability in medical contexts.

Using the code

The repository README covers 2. dataset. See the repository on GitHub for step-by-step instructions.