These are the lecture notes for DD2361/FDD3020. This course covers deep learning for biomedical image analysis: how the images are made, how to learn from scarce and shifting data, segmentation, evaluation, trustworthy AI, multimodal learning and generative models. The modules are intended to be read in order.