News
Schedule
Written on 25.10.2024 12:48 by Alice Isabel Oberacker
Hello everyone,
All sessions will be held in E1.1 SR 4.12.
Below is the schedule for this semester.
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Paper Assignment: Please verify that you have been assigned the correct paper and confirm your availability on your designated date.
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Initial Sessions: The first two sessions will follow a flipped classroom format, focusing on discussions and inquiries regarding Computed Tomography, Inverse Problems, and Machine Learning.
Kindly prepare by reading the script "Machine Learning for Inverse Problems" available in the Materials section.
Note that these sessions will not be traditional lectures; Prof. Schuster will be available to answer questions and facilitate discussions, rather than presenting the topics in a lecture format. -
Presentations: Paper presentations will commence on November 27th and conclude on January 15th.
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Submission Deadlines: Ensure that your slides/notes and handout are submitted to me by your assigned deadline.
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Inquiries: Should you have any questions regarding the paper or your presentation, please feel free to contact me via email.
Schedule:
| Date | Student | Paper title | Deadline |
|---|---|---|---|
| 6.11.24 | Flipped Classroom | ||
| 13.11.24 | Flipped Classroom | ||
| 27.11.24 | Davide Damiano | RecDNN: deep neural network for image reconstruction from limited view projection data | 20.11.24 |
| 04.12.24 | Ole Wolf | A complementary l1-TV reconstruction algorithm for limited data CT | 27.11.24 |
| 11.12.24 | Mathivathana Ayyappan | Solving ill-posed inverse problems using iterative deep neural networks | 04.12.24 |
| 18.11.24 | Philipp Henrikus | Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction | 11.12.24 |
| 08.01.25 | Kamna Dadwal | LEARN: Learned Experts’ Assessment-based Reconstruction Network for Sparse-data CT | 01.01.25 |
| 15.01.25 | Norman Weinland | Learned Primal-Dual Reconstruction | 08.01.25 |