Andreas Maier

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07DEC 2022
News
13.5 Million EUR for AI in the Recycling Industry: K3I Cycling now funded by the German Ministry of Education and Research
The aim of K3I-Cycling is the significant quantitative and qualitative improvement in the mechanical recycling of post-consumer plastic packaging waste. For this purpose, K3I-Cycling is using an artificial neural twin to develop a new, open and standardizable AI interface for the cross-sectoral collection of relevant information in the sense of a lightweight packaging product pass. […]
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07DEC 2022
News
Springer Nature Open Access Textbook “Medical Imaging Systems” hits 300.000 Downloads
It’s a great pleasure to announce that our Open Access Text Book “Medical Imaging Systems” with Springer Nature has now more than 300.000 downloads. It is the first Open Access Textbook published with Springer Nature indexed in LNCS with 11111. Celebrate with us and download the book here: https://link.springer.com/book/10.1007/978-3-319-96520-8
Read more about Springer Nature Open Access Textbook “Medical Imaging Systems” hits 300.000 Downloads
05DEC 2022
News
Success at MICCAI Educational Challenge at the Pattern Recognition Lab
It is a pleasure to announce that the Pattern Recognition Lab was again successful at the MICCAI Educational Challenge. This year a submission by Andreas Maier entitled “How to “Hack” Proprietary AI Image Processing Software” won the third prize: In the domain of medical image processing, medical device manufacturers protect their intellectual property in many […]
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05NOV 2022
News
Invited Talk: Prof. Dr. Jonghye Woo (Harvard University) – AI in Medical Imaging-based Diagnosis and Treatment of Speech Disorders, Wednesday, Nov. 9th, 2022, 5 PM CET
We are very happy to announce Prof. Dr. Jonghye Woo from Harvard University as an invited speaker at our lab! Title: AI in Medical Imaging-based Diagnosis and Treatment of Speech DisordersDate: Wednesday, Nov. 9th, 2022, 5 PM CETLocation: https://fau.zoom.us/j/63564286962?pwd=ODBwaUF3Yjk5bFJZVWVnMmgyMlJKQT09 Short Bio: Dr. Woo is an Assistant Professor in the Department of Radiology at Harvard Medical […]We are very happy to announce Prof. Dr. Jonghye Woo from Harvard University as an invited speaker at our lab! Title: AI in Medical Imaging-based Diagnosis and Treatment of Speech DisordersDate: Wednesday, Nov. 9th, 2022, 5 PM CETLocation: https://fau.zoom.us/j/63564286962?pwd=ODBwaUF3Yjk5bFJZVWVnMmgyMlJKQT09 Short Bio: Dr. Woo is an Assistant Professor in the Department of Radiology at Harvard Medical […]
Read more about Invited Talk: Prof. Dr. Jonghye Woo (Harvard University) – AI in Medical Imaging-based Diagnosis and Treatment of Speech Disorders, Wednesday, Nov. 9th, 2022, 5 PM CET
21OCT 2022
News
Invited Talk: Prof. Dr. Jonghyun Choi, Yonsei University, 26th of October at 10 AM CET
It’s a great pleasure to welcome Prof. Dr. Jonghyun Choi as an invited speaker at our lab! Title: Continual Learning in Practical ScenariosLocation: https://fau.zoom.us/j/65471108515?pwd=UDZhUVlaQWZhc09jTTNGTHhWdHBjQT09Date & Time: 26th of October at 10 AM CET Abstract: Continual learning, especially class-incremental learning uses an episodic memory for past knowledge for better performance. Updating a model with the episodic […]It’s a great pleasure to welcome Prof. Dr. Jonghyun Choi as an invited speaker at our lab! Title: Continual Learning in Practical ScenariosLocation: https://fau.zoom.us/j/65471108515?pwd=UDZhUVlaQWZhc09jTTNGTHhWdHBjQT09Date & Time: 26th of October at 10 AM CET Abstract: Continual learning, especially class-incremental learning uses an episodic memory for past knowledge for better performance. Updating a model with the episodic […]
Read more about Invited Talk: Prof. Dr. Jonghyun Choi, Yonsei University, 26th of October at 10 AM CET
14JUL 2022
News
Pattern Recognition Lab featured on the Cover of the Journal of Microscopy
Mareike Thies’ work “Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator” was featured on the cover of the August 2022 Issue of the Journal of Microscopy. The work features a novel approach to X-ray CT calibration using differentiable back-projection to calibrate an X-ray microscope using known operators. With […]Mareike Thies’ work “Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator” was featured on the cover of the August 2022 Issue of the Journal of Microscopy. The work features a novel approach to X-ray CT calibration using differentiable back-projection to calibrate an X-ray microscope using known operators. With […]
Read more about Pattern Recognition Lab featured on the Cover of the Journal of Microscopy