University of Heidelberg
BIOQUANT

11/10/2014 Project QuantVessel at Deutsche Bundestag (German Parliament)

The research project QuantVessel of the BMCV group is presented at an exhibition of the German...


11/10/2014 Excellent result at Particle Tracking Challenge, Nature Methods 2014

The Biomedical Computer Vision (BMCV) group successfully participated in an international...


11/06/2014 William J. Godinez received the Thomas Gessmann PhD Prize 2014

The Thomas Gessmann PhD Prize is awarded for outstanding dissertations in technical fields and is...


08/27/2014 Bitplane ISBI/IEEE Attendance Award, 2nd Cell Tracking Challenge, ISBI 2014

Nathalie Harder received a Bitplane ISBI/IEEE Attendance Award at the 2nd Cell Tracking Challenge...


04/20/2013 Excellent result at 1st Cell Tracking Challenge, ISBI 2013

The Biomedical Computer Vision (BMCV) group successfully participated in the 1st Cell Tracking...


Displaying results 6 to 10 out of 15

< Previous

1

2

3

Next >

Sommersemester 2025

Advanced Practical (Fortgeschrittenenpraktikum) "Deep Learning for Biomedical Image Analysis"

Field:

  Biomedical Image Analysis, Machine Learning

Scope:

  6 SWS, 8 ECTS

Date:

  Tuesday, 15:00-18:00, weekly (or by arrangement)

Duration:

  15.4. – 22.7.2025 (or by arrangement)

Place:

  INF 267 (BioQuant), SR44 or online

Lecturer:

  Prof. Dr. Karl Rohr

Language:

  English or German

 

Content:

Students work on selected advanced topics in biomedical image analysis. The focus is on deep learning methods for automated analysis of biological microscopy images and medical images. Examples for topics are segmentation and tracking of cells in microscopy images, segmentation of organs or blood vessels, and registration of multimodal images of the human brain. The tasks comprise: Study relevant literature, learn theoretical foundations, design and implementation of image analysis methods and algorithms, test and evaluation of implemented methods, specification and development of software, presentation of results.

 

Requirements: Basic knowledge in Image Analysis (Computer Vision) or Machine Learning (Pattern Recognition)

Target group: MSc Data and Computer Science (8 ECTS) and related, MSc Molecular Biotechnology (8 or 4 ECTS)

First date: Tuesday, 15.4.2025, 15:00 (s.t.), SR44 (or by arrangement)   

Type of course: Advanced Practical (Fortgeschrittenenpraktikum) (IFP)

Module handbook info: Modulhandbuch

Contact: Prof. Dr. Karl Rohr (k.rohr{at}dkfz.de, k.rohr{at}uni-heidelberg.de)

 

Contact: E-Mail (Last update: 21/03/2025)