Block-Seminar on Deep Learning for Bio-Medical Data Analysis
apl. Prof. Olaf Ronneberger (DeepMind)
In this seminar you will learn about relevant bio-medical research
fields and the most recent methods (mainly based on deep learning)
that have been already applied to bio-medical data, or that have a
large potential in this field. Especially generative models and unsupervised methods have a large potential to learn concepts from large non-annotated data bases (see a recent blog post from DeepMind on "Unsupervised learning: the curious pupil").
For each paper there will be one
person, who performs a detailed investigation of a research paper and
its background and will give a presentation. The presentation is
followed by a discussion with all participants about the merits and
limitations of the respective paper. You will learn to read and
understand contemporary research papers, to give a good oral
presentation, to ask questions, and to openly discuss a research
problem.
Blockseminar: (2 SWS) |
t.b.a.
Room: t.b.a.
Places: max. 10 students
Contact person: Özgün Çiçek
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Introduction: |
Monday, October 21, 2019, 10:15
Room: 52-1-33
Introduction and allocation of seminar topics
Will be held jointly with Seminar on Current Works in Computer Vison
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Mid-Semester Meeting: |
t.b.a.
Room: t.b.a.
Introduction to Neural Networks by apl. Prof. Olaf Ronneberger (DeepMind)
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ECTS Credits: |
4
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Recommended semester:
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6 (Bachelor), any (Master) |
Requirements: |
Background in computer vision
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Remarks: |
This course is offered to both Bachelor and Master students.
The language of this course is English. All presentations must be given in English.
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Topics will be assigned in the first meeting. Please register for the seminar online before the first meeting. If you could not register still come to our introductory meeting to see if there are papers free. If there are more interested students than places, places will be assigned by a mixture of motivation in the first meeting and priority suggestions of the system. The date of registration is NOT important. In particular, we want to avoid that people grab a topic and then jump off during the semester. Please have a coarse look at all available papers to make an informed decision in the first meeting.
There is a related Seminar on Current Works in Computer Vision offered by Prof. Thomas Brox
All participants must read all papers and answer a few questions. The questions will be available here.
The answers must be sent to the corresponding advisor until t.b.a.. We highly recommend to read and understand all papers first, before you start to prepare your presentation.
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Papers (please note that we only have 10 places):
Time |
Paper |
Presenting student |
Advisor |
Slides |
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Papers will follow soon... |
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