Author: Sven Grünke

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 ...

Category: News

It is a great pleasure to announce our new DFG Project on multimodal scanning of manuscripts. In the project, we will investigate joint scanning of books using X-ray, X-ray Darkfield, and Terahertz Imaging toward investigating whether their joint use enables further insights into inaccessible histo...

Category: News

Elisabeth Hoppe, a PhD student at the Pattern Recognition Lab, was awarded as one of this year's 10 AI Newcomers. This award is granted to young researchers under 30 years for innovative developments in the area of artificial intelligence from the German Association of Computer Science (Gesell...

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Franziska Schirrmacher, a former PhD student at the Pattern Recognition Lab, receives this year's Luise Prell-Preis for her excellent Master's thesis, from which publications evolved. Parts of the thesis are published in a MICCAI paper and one Medical Image Analysis article, which was runner-up for...

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Sulaiman Vesal, PhD student at the Pattern Recognition Lab, was awarded the second best work in the STACOM Multi-sequence Cardiac MR Segmentation Challenge at MICCAI 2019. The award was given for the paper: "Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation", whic...

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Congratulations to Maniraman Periyasamy, Meike Biendl and Alexander Richter, Jonas Utz, and Henrik Willer for their outstanding achievements in the Deep Learning Challenge 2019! A great success. Please enjoy the backpacks that were donated by Nvidia!

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In a cooperation with Marc Kachelriess (DKFZ), Michael Lell (Klinikum Nürnberg Nord) and our lab, we successfully applied for another DFG Project. The aim of the project is to estimate patient-individualised dose for a CT scan using deep learning techniques. In the project, we will unite deep learn...

Category: News