MSc Thesis · Universidad Internacional de La Rioja (UNIR)
Cardiovascular Disease Prediction Using Deep Learning
• Built a complete detection pipeline by designing the preprocessing, training, validation, and evaluation stages with TensorFlow and PyTorch on medical imaging data
• Applied CNN-based architectures and image-analysis techniques to support early cardiovascular disease detection
• Extended the work into CardiacAI (github.com/Irathor/cardiac-ai-platform), a cardiac MRI segmentation and biomarker-extraction platform (ACDC dataset), currently in progress
- TensorFlow
- PyTorch
- CNNs
- Medical Imaging
- Deep Learning