Section outline
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Date Topic References Additional Material 13 08/04/2026 (14-16)
Deep Learning Fundamentals I
deep neural networks; gradient issues; activation functions; normalization and regularization; optimization
[SD] Ch. 4, Sect 7.1, 7.3, 7.5, 14 09/04/2026 (14-16) Deep Learning Fundamentals II
neural autoencoders; unsupervised deep learning; autoencoding tasks in healthcare (anomaly detection, compression, denoising)
[SD] Sect. 6.2-6.5, Sect. 9.3 [6] Survey on autoencoders
[7,8] Surveys on autoencoders use in healthcare
15 14/04/2026 (14-16) Convolutional Neural Networks I
Introduction to medical imaging; basic CNN elements;
[SD] Chapter 10 16 15/04/2026 (14-16) Convolutional Neural Networks II
CNN architectures; medical imaging tasks
[SD] Chapter 10
[AI4H] Pg. 643-655
Additional readings
[9] Augmentation techniques for medical imaging
[10] Survival analysis with CNNs
[11] Large-scale medical image segmentation dataset and application
Software
nnU-net - Well engineered framework for low-code medical segmentation tasks
L8 16/04/2026 (14-16) Lab 7: CNNs for medical imaging data