Author: Andreas Maier

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 col...

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...

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, medica...

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=ODBwaUF3Yjk5bFJZVWV...

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...

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 calibra...

It is a great pleasure to announce that all three Best Paper Awards of the German Medical Image Processing Conference (BVM 2022) were awarded to students at the Pattern Recognition Lab. The 1st Place was awarded to Richin Sukesh for his contribution "Training Deep Learning Models for 2D Spine X-...

Congratulations to Christian Bergler and Hendrik Schröter for their success on ICASSP 2022! Christian‘s Paper „ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning“ was listed as the third most viewed poster at the conference (full top 50 list). Hendrik‘s Pa...

It's a great pleasure to welcome Farah Deeba to our lab as an invited speaker for a presentation on quantitative ultrasound. Title: Understanding the Placenta: Towards an Accessible and Effective Pregnancy SystemTime: Wed. March 23rd, 2022, 4 PM CETLocation: https://fau.zoom.us/webinar/register/...

It's a great pleasure to welcome Prof. Dr. Robert Sablatnig to our lab to present his latest research! Date: 20.01.2022Time: 12h noonTitle: Multispectral Imaging and Writer Identification for Historical ManuscriptsLocation: https://fau.zoom.us/webinar/register/WN_zF8P2WzjShSUnuN-QX9G1w Abstra...