Deep Learning in Medical Image Analysis
Graduate Course, AGH University of Kraków, 2024
Course introducing to Deep Learning in Medical Image Analysis. Teaching from 2022.
Topics covered:
- Convolutional & Transformer Architectures
- Training strategies (supervised, self-supervised, unsupervised, adversarial)
- Image Classification
- Image Segmentation
- Image Registration
- Generative Networks (VAEs, GANs, LDMs)
- Image Augmentation
- Data Heterogeneity
- Optimization Techniques
- Interpretability & Explainability
- Uncertainty
- Medical Modalities (MRI, CT, USG, XRay, PET, Endoscopy, Microscopy)