Author: Sven Grünke

Faezeh Nejati Hatamian received her Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. She joined the Pattern Recognition Lab in April 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. Her...

Chang Liu joined Pattern Recognition Lab from March 2020 as a PhD candidate under the supervision of Prof. Andreas Maier. He completed his Masters in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany. The topic of his thesis was "Automatic Breast Segmen...

Karthik Shetty started working with the Pattern Recognition Lab since December 2019 in cooperation with Siemens Healthineers as PhD candidate under Prof. Andreas Maier on the topic "Patient Modelling for Interventional Environments". He completed his Masters in Computational Engineering from Frie...

Due to the current pandemic of COVID-19, this year’s BVM (German Conference on Medical Image Processing) was converted into a video venue. All authors submitted their work as videos and they are available now on YouTube in the newly created BVM Channel. In the description of the video, you can find ...

Over the years, we have collected a rather large collection of online teaching material that we now also highlight on our Teaching Section. One feature is the Deep Learning Material with video lectures and online experimentation environments on various topics. Another gem is the new version of the ...

On Thursday, the 19th of March 2020, we submitted two 3 Million EUR grants to the European Commission. One project aims at building a European Network to establish Book CT as a method to access cultural information in historical books non-invasively from Scanning over Handwritten-Text-Recognition a...

It is a pleasure to announce that the Pattern Recognition Lab managed to complete an astounding 17 full submissions for MICCAI 2020 in Lima, Peru! This is a great success given the adversarial conditions during the current time of corona crisis. Now the review phase of the 1816 submitted pa...

The Pattern Recognition Lab is engaged to combat the global COVID-19 pandemic. In order to limit the spread, we engaged in the following measures: Exams postponed: All written, oral and PhD exams are postponed until further notice. This measure is extreme. Therefore, we will be flexible in takin...

We are proud to announce the funding of "Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)“ by BMBF. The project examines the use and further development of machine learning methods for MR image reconstruction and for the classification of liver lesions. Ba...

We just received news that we are able to continue our project on material characterisation using machine learning for another two years. DFG will fund the use of deep learning procedures to determine the forming limits of metal sheets with approximately 150,000 EUR. The project is conducted in coo...