Seminar: Computational Imaging (IN0014, IN2107, IN4988)
Lehrveranstaltung 0000003283 im WS 2020/1
Basisdaten
LV-Art | Seminar |
---|---|
Umfang | 2 SWS |
betreuende Organisation | Informatik 16 - Lehrstuhl für Anwendungen in der Medizin (Prof. Navab) |
Dozent(inn)en |
Tobias Lasser Mitwirkende: Theodor Cheslerean-Boghiu Josue Page Vizcaino Erdal Pekel Anca-Elena Stefanoiu |
Termine |
weitere Informationen
Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).
ergänzende Hinweise | Computational Imaging is a very active field in the recent years. In this seminar, we will investigate the state-of-the-art in imaging methods, such as optical light-field or X-ray imaging, and the associated computational methods. Each student will focus on a scientific publication (e.g. a journal paper), and prepare an oral presentation unit of 30 minutes (20 minutes presentation, 10 minutes discussion), outlining and explaining the methods and results of this publication. Active involvement of the audience (the other course participants) is very much encouraged. Finally, a written one-page summary on the topic will serve as future reference for the participants of the course. The seminar will take place in two block session before the start of the lecture period of the winter term 2020/21. Attendance in both block sessions is mandatory. |
---|---|
Links |
LV-Unterlagen E-Learning-Kurs (z. B. Moodle) TUMonline-Eintrag |
Gleiche Lehrveranstaltungen (z. B. in anderen Semestern)
Semester | Titel | Dozent(en) | Termine |
---|---|---|---|
SS 2020 | Seminar: Computational Imaging (IN0014, IN2107, IN4988) |
Lasser, T.
Mitwirkende: Cheslerean-Boghiu, T.Stefanoiu, A. |
|
WS 2019/20 | Seminar: Computational Imaging (IN0014, IN2107, IN4988) |
Lasser, T.
Mitwirkende: Cheslerean-Boghiu, T.Stefanoiu, A. |
|
SS 2019 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Farshad, A.
Navab, N.
Mitwirkende: Khakzar, A.Paschali, M.Saleh, M. |
|
WS 2018/9 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Tombari, F.
Leitung/Koordination: Navab, N. |
|
SS 2018 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Paschali, M.
Tombari, F.
Leitung/Koordination: Navab, N. |
|
WS 2017/8 | Seminar: Deep generative models (IN0014, IN2107, IN4907) |
Laina, I.
Tombari, F.
Leitung/Koordination: Navab, N. |