September 2020

1 to 6 of 8

30SEP 2020
News
Congratulations to Dr. Breininger!
Let’s congratulate Dr. Katharina Breininger on her successful Ph.D. defense and her great presentation entitled “Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair“. We all enjoyed your presentation and your reviewers Prof. Cattin (University of Basel), Prof. Uder (University Clinic Erlangen), Prof. Maier, and the head of the committee Prof. […]Let’s congratulate Dr. Katharina Breininger on her successful Ph.D. defense and her great presentation entitled “Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair“. We all enjoyed your presentation and your reviewers Prof. Cattin (University of Basel), Prof. Uder (University Clinic Erlangen), Prof. Maier, and the head of the committee Prof. […]
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25SEP 2020
News
AZUBI 2021 – Wir suchen dich!
Der Lehrstuhl sucht zum 01. September 2021 Auszubildende zum Fachinformatiker (w/m/d) der Fachrichtung Systemintegration Der LME beschäftigt sich mit Themen der automatisierten Musteranalyse. Wir forschen an spannenden Themen wie Spracherkennung, Automatischer Erkennung von digitalen Bildfälschungen, Digitalen Geisteswissenschaften, Unterstützung der Diagnostik und Therapie in medizinischen Anwendungen und vielen weiteren Themenfeldern. Wir hoffen, dass du nicht nur […]Der Lehrstuhl sucht zum 01. September 2021 Auszubildende zum Fachinformatiker (w/m/d) der Fachrichtung Systemintegration Der LME beschäftigt sich mit Themen der automatisierten Musteranalyse. Wir forschen an spannenden Themen wie Spracherkennung, Automatischer Erkennung von digitalen Bildfälschungen, Digitalen Geisteswissenschaften, Unterstützung der Diagnostik und Therapie in medizinischen Anwendungen und vielen weiteren Themenfeldern. Wir hoffen, dass du nicht nur […]
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10SEP 2020
Competitions
ICDAR 2021 Competition on Historical Document Classification
This competition investigates the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provide three different classification tasks, which can be solved individually or jointly: font group, location, date. Additionally, we will declare an overall winner for participants who contributed to all three tasks. […]This competition investigates the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provide three different classification tasks, which can be solved individually or jointly: font group, location, date. Additionally, we will declare an overall winner for participants who contributed to all three tasks. […]
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04SEP 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 4
Deep Design Patterns These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. […]
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02SEP 2020
News
Successful Ph.D. Defense of Christoph Luckner!
Let’s congratulate Christoph Luckner for the successful completion of his dissertation. He defended with his presentation on “Tomosynthesis for Orthopedic Applications: Ultra-small-angle Tomosynthesis and Applications Beyond” in exactly 30 Minutes in an online exam via teleconference with Prof. Nöth as head of committee, as well as Prof. Maier and Prof. Noo (Salt Lake City) as […]
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02SEP 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Known Operator Learning – Part 3
CT Reconstruction Revisited These are the lecture notes for FAU’s YouTube Lecture “Deep Learning“. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. […]
Read more about Lecture Notes in Deep Learning: Known Operator Learning – Part 3