Deep Learning for Medical Applications
Overview
- Deep Learning is growing tremendously in Computer Vision and Medical Imaging as well. Highly impacted journals in the medical imaging community, i.e. IEEE Transaction on Medical Imaging, recently published their special edition on Deep Learning [1]. The Seminar will propose a list of recent scientific articles related to the main current research topics in deep learning for Medical Applications, together with some interesting papers from other communities (CVPR, NeurIPS, ICCV, ICLR, ICML, ...).
- The preliminary meeting is scheduled for July 5th, 14:30 (Zoom link is visible on TUMonline).
Registration
- Registration must be done through TUM Matching Platform (please pay attention to the Deadlines)
- In order to increase your priority, please also apply via our own Registration system.
- The maximum number of participants: 20.
Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860)
Lecturer (assistant) | |
---|---|
Number | 0000001413 |
Type | Seminar |
Duration | 2 SWS |
Term | Wintersemester 2023/24 |
Language of instruction | English |
Position within curricula | See TUMonline |
Dates | See TUMonline |
Dates
- 19.10.2023 12:00-14:00 03.13.010, Seminarraum
- 26.10.2023 12:00-14:00 03.13.010, Seminarraum
- 02.11.2023 12:00-14:00 03.13.010, Seminarraum
- 09.11.2023 12:00-14:00 03.13.010, Seminarraum
- 16.11.2023 12:00-14:00 03.13.010, Seminarraum
- 23.11.2023 12:00-14:00 03.13.010, Seminarraum
- 30.11.2023 12:00-14:00 03.13.010, Seminarraum
- 14.12.2023 12:00-14:00 03.13.010, Seminarraum
- 21.12.2023 12:00-14:00 03.13.010, Seminarraum
- 11.01.2024 12:00-14:00 03.13.010, Seminarraum
- 18.01.2024 12:00-14:00 03.13.010, Seminarraum
- 25.01.2024 12:00-14:00 03.13.010, Seminarraum
- 01.02.2024 12:00-14:00 03.13.010, Seminarraum
- 08.02.2024 12:00-14:00 03.13.010, Seminarraum
Admission information
See TUMonline
Note: For registration, you have to be identified in TUMonline as a student. Interested students should attend the preliminary meeting. This semester we will have a joint presentation of the MLMI and DLMA courses offered, on Wednesday, July 5th, 2023, from 14:00 to 15:00 hrs with the following agenda: Machine Learning in Medical Imaging (MLMI): 14:00 hrs. - 14:30 hrs. Deep Learning for Medical Applications (DLMA): 14:30 hrs. - 15:00 hrs. Feel free to attend all the talks of your interest. The sessions will be conducted in Zoom: https://tum-conf.zoom.us/j/63320903512?pwd=WEljYUtYUERHSFhzV1d1N2Iwd2JOZz09 Please find the latest information on the course Wiki: https://wiki.tum.de/pages/viewpage.action?pageId=1523875999
Note: For registration, you have to be identified in TUMonline as a student. Interested students should attend the preliminary meeting. This semester we will have a joint presentation of the MLMI and DLMA courses offered, on Wednesday, July 5th, 2023, from 14:00 to 15:00 hrs with the following agenda: Machine Learning in Medical Imaging (MLMI): 14:00 hrs. - 14:30 hrs. Deep Learning for Medical Applications (DLMA): 14:30 hrs. - 15:00 hrs. Feel free to attend all the talks of your interest. The sessions will be conducted in Zoom: https://tum-conf.zoom.us/j/63320903512?pwd=WEljYUtYUERHSFhzV1d1N2Iwd2JOZz09 Please find the latest information on the course Wiki: https://wiki.tum.de/pages/viewpage.action?pageId=1523875999
Description
Deep Learning is growing tremendously in Computer Vision and Medical Imaging as well. Highly impacted journals in medical imaging community, i.e. IEEE Transaction on Medical Imaging, published recently their special edition on Deep Learning. The Seminar will propose a list of recent scientific articles related to the main current research topics in deep learning for Medical Applications together with some interesting papers from other communities.
Prerequisites
Machine Learning, Deep Learning