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...

Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography Cone-beam computed tomography (CBCT) is a widely used imaging technology for medical diagnosis and interventions nowadays. Compared with conventional 2-D X-ray images, 3-D volumes reconstructed by CBCT p...

We are proud to announce that Bayerische Forschungsallianz will support a project between the McGill University and FAU Erlangen-Nuremberg on Dual Energy Imaging. Aim of the project is to enable easy access to dual energy image data and to further improve its clinical use. PIs are Reza Forghani at ...