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.

Maskenpflicht und Händehygiene
Bei Kursen, Kongressen und Vorlesungen in USZ-Räumen gilt eine Maskenpflicht und Händehygiene. Die Zertifikatspflicht für Besucherinnen und Besucher entfällt.


The event is fully digital and takes place online.


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


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


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
Stv. Klinikdirektorin, Klinik für Radio-Onkologie

Spezialgebiete: Stereotaxie, Adaptive Strahlentherapie, MR gestützte Strahlentherapie, Quantitative Bildanalysen
Tel. +41 44 255 42 38

Verantwortlicher Fachbereich

Institut für diagnostische und interventionelle Radiologie