Breadcrumb Navigation

Applied Machine Learning in Diagnostic Imaging

Digital transformation based on data-driven technology has the potential to revolutionize medicine. Academia can play a major role in the development, validation and marketability of innovative solutions responding to the compelling needs of patients and healthcare professionals.

Wichtig: Einlass gemäss 3G-Regel
Bei Kursen, Kongressen und Vorlesungen in USZ-Räumen müssen die Teilnehmenden neu zusätzlich zu den bestehenden Massnahmen ein gültiges COVID-Zertifikat vorweisen.

Standort

The event is fully digital and takes place online.

Credits

1 SGR-SSR credit per session

20.05.2021 12.15 - 13.00 Uhr
17.06.2021 12.15 - 13.00 Uhr
01.07.2021 12.15 - 13.00 Uhr
15.07.2021 12.15 - 13.00 Uhr
02.09.2021 12.15 - 13.00 Uhr
30.09.2021 12.15 - 13.00 Uhr
04.11.2021 12.15 - 13.00 Uhr
18.11.2021 12.15 - 13.00 Uhr
02.12.2021 12.15 - 13.00 Uhr
16.12.2021 12.15 - 13.00 Uhr

Online Access

Meeting ID: 829 159 8623
Passcode: 699059

Program

In this program, we address the cardinal points allowing efficient digital technology transfer between academia and medtech industry. Training (T) of professional profiles competitive in understanding data-driven technology. Research and development (R&D) strategies for conducting solid translational research. Creation of an environment in which innovation (I) relies on complementary resources and expertise.

20.05.2021 R&D – Towards Trustworthy ML in Medical Image Analysis
Ender Konukoglu, Prof. Dr., ETHZ
17.06.2021 R&D – Real World Interpretable ML Algorithms in Dermatology Consultation
Javier Barranco Garcia, Dr., USZ
01.07.2021 R&D – Artificial Intelligence in Radiation Oncology
Martin Kocher, Prof. Dr., University of Cologne
15.07.2021 I – Incubation Programs
Matthias Herrmann, USZ
02.09.2021 R&D – Machine Learning in Cardiac Imaging
Fabian Laqua, USZ
30.09.2021 R&D – Machine Learning in Cardiac Imaging
Fabian Laqua, USZ
04.11.2021 The Importance of Research and Partnership Strategies for Early-stage Startups
Utku Gülan, Dr., HiD-Imaging
18.11.2021 R&D – AI in Hybrid Imaging: Aims and Limitations
Michael Messerli, Dr., USZ
02.12.2021 I – How to Cope with the Regulatory Environment
Roger Abächerli, Prof. Dr., HSLU
16.12.2021 I – Create Your Own Startup
Cristina Rossi, PD Dr., USZ

Contact

Cristina Rossi, PD Dr.

MR Physikerin, Institut für diagnostische und interventionelle Radiologie

Tel. +41 44 255 18 07

Stephanie Tanadini-Lang, PD Dr. sc. nat.

Leitende Medizin-Physikerin, Klinik für Radio-Onkologie

Tel. +41 44 255 42 38

Behandelnder Fachbereich

Institut für diagnostische und interventionelle Radiologie