Deep Learning for Medical Image Analysis

1. An Introduction to Neural Networks and Deep Learning<br>2. Deep reinforcement learning in medical imaging<br>3. CapsNet for medical image segmentation<br>4.Transformer for Medical Image Analysis<br>5. An overview of disentangled representation learning for MR images<br>6. Hypergraph Learning and Its Applications for Medical Image Analysis<br>7. Unsupervised Domain Adaptation for Medical Image Analysis<br>8. Medical image synthesis and reconstruction using generative adversarial networks<br>9. Deep Learning for Medical Image Reconstruction<br>10. Dynamic inference using neural architecture search in medical image segmentation<br>11. Multi-modality cardiac image analysis with deep learning<br>12. Deep Learning-based Medical Image Registration<br>13. Data-driven learning strategies for biomarker detection and outcome prediction in Autism from task-based fMRI<br>14. Deep Learning in Functional Brain Mapping and associated applications<br>15. Detecting, Localising, and Classifying Polyps from Colonoscopy Videos Using Deep Learning<br>16. OCTA Segmentation with limited training data using disentangled represenatation learning<br>17. Considerations in the Assessment of Machine Learning Algorithm Performance for Medical Imaging