Symposium "Artificial Intelligence in Medical Imaging"

The event features various speakers who will address the audience on various topics.

Program
Introduction and Welcome
Pascale Anderle, Jürgen Burger, sitem Center, University of Bern
Roland Wiest, Clinical Neuroscience, University of Bern

CHAIR: Michael Dahlweid

Keynote Lecture: Translational AI from bits to bedside 
Felix Nensa, University Hospital Essen, Essen 

Transforming patient care through imaging AI 
Nuno Barros, Icometrix, Leuven 

Break

CHAIR: Hendrik von Tengg-Kobligk

Bringing ML to the Clinics

Tobias Kober, Siemens Healthineers, Lausanne 
ScanDiags - Clinically validated AI for the augmented diagnosis of musculoskeletal MRI 
Elisa Wan, Balzano, Zurich 
INTACT: An AI-based Computer-Aided Diagnosis System for the Diagnosis of Interstitial Lung Diseases from CT Images 
Stavroula Mougiakakou, University of Bern, Bern 

Lunch 

CHAIR: Mauricio Reyes

Keynote Lecture: AI in a clinical context, get ready to make your hands dirty! 
Bram Stieltjes, University of Basel, Basel 

Microfluidics, microscale assays and image analytics for data-rich pathology 
Govind V. Kaigala, IBM Research Laboratory, Zurich 

From acquisition to prognosis, the expanding role of machine learning in radiology.

Jonas Richiardi, Lausanne University Hospital, with a joint affiliation to Siemens Healthcare Switzerland, Lausanne 

Break

CHAIR: Kuangyu Shi

Reducing the annotation burden for image-based machine learning
Raphael Sznitman, University of Bern, Bern

Is there a future for artificial intelligence and deep learning in molecular imaging research? 
Habib Zaidi, University of Geneva, Geneva

Closing remarks 

Use the provided link to register for the event.