Archives: Thesis

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01AUG 2020
News
New PhD student
Lukas Folle 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 August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focuses on the Molecular Assessment of Signature ChArakterizing the Remission of Arthritis […]Lukas Folle 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 August 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focuses on the Molecular Assessment of Signature ChArakterizing the Remission of Arthritis […]
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01AUG 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 2
Backpropagation through Time 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: Recurrent Neural Networks – Part 2
01AUG 2020
News
New PhD student
Zijin Yang joined the Pattern Recognition Lab in August 2020 as a Ph.D. candicdate under the supervision of Prof. Andreas Maier on the topic “Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)“. His research interests lie in data-driving image analysis including segmentation, reconstruction and classification. He completed his Master’s degree […]
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31JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Recurrent Neural Networks – Part 1
The Elman Cell 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: Recurrent Neural Networks – Part 1
30JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Architectures – Part 5
Learning Architectures 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. If […]
Read more about Lecture Notes in Deep Learning: Architectures – Part 5
29JUL 2020
Lecture Notes in Deep Learning
Lecture Notes in Deep Learning: Architectures – Part 4
The Rise of the Residual Connections 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 […]
Read more about Lecture Notes in Deep Learning: Architectures – Part 4