MECLab

MECLab

Medical and Environmental Computing

Teaching

Deep Learning for Medical Imaging

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Medical imaging is the technique of creating visual representations (digital images) of the interior of a body or skin for clinical analysis and medical interventions. Oftentimes visual representation of the function of some organs or tissues is part of medical imaging. This class teaches the basics of common medical imaging modalities and discusses their strengths and weaknesses. It proceeds with several lectures about advanced concepts in deep learning (e.g. federated learning, continual learning) and their applications in the field of medical imaging. As this is an integrated lecture, students can participate in a voluntary paper presentation and/or programming project to gain practical experience and an exam bonus. The lecture takes place in every winter term.

Visual Computing Lab

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The Visual Computing Lab (Praktikum Visual Computing, PVC) is an excellent opportunity for students to improve their practical skills and improve their problem-solving abilities in a hands-on project. The PVC takes place in every semester, with a kick-off meeting taking place in the second week of the lecturing period.

Deep Generative Models

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Generative Adversarial Networks (GANs) and similar methods (e.g. Diffusion Models, Variational Auto Encoders) have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical image denoising, reconstruction, segmentation, data simulation, detection or classification. Furthermore, their ability to synthesize images at unprecedented levels of realism also gives hope that the chronic scarcity of labeled data in the medical field can be resolved with the help of these generative models. This class starts with basic statistical concepts of image generation. We proceed with several lectures about contemporary deep learning approaches for image generation, such as Diffusion Models, Neural Cellular Automata, VAEs and GANs. As this is an integrated lecture, students can participate in a voluntary paper presentation and/or programming project to gain practical experience and an exam bonus. The lecture takes place in every summer term.