Sommersemester 2024
Seminar "Biomedical Image Analysis: Deep Learning"
Field: | Biomedical Image Analysis, Machine Learning |
Scope: | 4 ECTS |
Date: | Tuesday, 13:00-14:30, weekly (or Block seminar) |
Duration: | 16.4. – 23.7.2024 |
Place: | INF 267 (BioQuant), SR44 |
Lecturer: | |
Language: | English |
Content:
The participants select a scientific article on an advanced topic in biomedical image analysis, give an oral presentation, and write a report. The articles describe cutting-edge research and were published in international journals. The topics comprise computer-based methods for automated analysis of biological microscopy images and medical images using deep learning (e.g., convolutional and recurrent neural networks). Examples for applications are the segmentation of cells, classification of histological images, tracking of cells, segmentation of organs, and registration of multimodal images. Registration for the course and assignment of topics will be discussed on the first date.
Course conduction and registration:
The course will be performed onsite. Interested students register before the first date in Moodle (Fakultät für Ingenieurwissenschaften / Pharmazie und Molekulare Biotechnologie / Master: Seminar Biomedizinische Bildanalyse: Deep Learning 2024). The key (Schlüssel) for registration in Moodle is 20240311. Information on the meetings will be announced under "Ankündigungen“ in Moodle.
Requirements: Basic knowledge in Image Analysis (Computer Vision) or Machine Learning (Pattern Recognition)
Target group: MSc Data and Computer Science and related, MSc Molecular Biotechnology
First date: Tuesday, 16.4.2024, 13:00 (s.t.), SR44
Type of course: Seminar (IS)
Module handbook info: Modulhandbuch
Contact: PD Dr. Karl Rohr (k.rohr {at} dkfz.de, k.rohr {at} uni-heidelberg.de)