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It's great pleasure to welcome Prof. Dr. Jong Chul Ye from KAIST for a presentation to our lab! Title: GAN for Medical Image ReconstructionDate: Dec 4th 2020, 8:30 AMLocation: https://fau.zoom.us/j/95654127882?pwd=WmtFRXVsYS9wR1ViQ1lCVmZYUStHdz09 Abstract: Although deep neural networks have b...

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Luis Carlos Rivera received his Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in November 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His P...

Category: News

It is a great pleasure to announce this invited talk by Mauricio Reyes from the University Hospital of Bern. Title: Medical image analysis in the era of deep learning: from performance to challenging the alchemist withinDate: Nov 26th 2020, 11 AMLocation: https://fau.zoom.us/j/91041572053?pwd=Kz...

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After her Master’s studies in Computer Science, Nora Gourmelon joined the Pattern Recognition Lab mid of November 2020 as a PhD candidate supervised by Prof. Andreas Maier. She will be working in the Emerging Field Initiative Project “Tapping the potential of Earth Observation”. Nora's research inte...

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It is a great pleasure to announce an invited talk by Ivana Isgum from the University of Amsterdam on her great research in the field of Machine Learning and Medical Imaging: Title: Deep learning for automatic detection of cardiovascular disease in CT and MR exams Prof. Dr. Ivana Išgum...

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Mareike Thies joined the Pattern Recognition Lab in November 2020 as a PhD candidate supervised by Prof. Andreas Maier. She will be working on a project aiming at very high-resolution imaging of bones using X-ray microscopy techniques. Mareike’s research interests are CT image reconstruction and mo...

Category: News

This year's Dies academicus at the FAU will happen on Wednesday November 4th, 2020, presenting topics around AI in the medicine. Two of our lab members will participate in this event: Prof. Katharina Breininger will take part in the panel discussion on AI in medicine. Ph.D. student Elisabeth Hoppe ...