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

Master-Seminar - Deep Learning for Medical Applications (IN2107, IN4860)

Lecturer (assistant)
Number0000001413
TypeSeminar
Duration2 SWS
TermWintersemester 2023/24
Language of instructionEnglish
Position within curriculaSee TUMonline
DatesSee TUMonline

Dates

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

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

Links