6 Dec 2019 - 7 Dec 2019 | Villach, Austria

Agenda

Friday
6 Dec 2019
09:00 – 11:00
Gallery Draublick
Medical Image Classification Using the MedNIST Dataset

Nicola Rieke, DE
Senior Solution Architect of NVIDIA

Tutorial
11:00 – 12:00
Welcome Address
12:00 – 12:10
Gottfried von Einem Hall
INTRO - A dialectic approach towards AI in clinical imaging

Thomas Kau, AT
Initiator of the AICI Forum Villach, Head of the Institute of Radiology at Villach General Hospital

12:10 – 12:30
How AI can boost quality of diagnostics via a human and machine symbiosis

Albert Moik, AT  
Country Lead Accenture Analytics Austria

Keynote Lecture; Chair: T. Kau, C. Menard
12:30 – 13:00
Deep learning and radiomics in neuroimaging

Nicola Rieke, DE
Senior Solution Arichect of NVIDIA

Keynote Lecture; Chair: T. Kau, C. Menard
13:00 – 13:20
Deep learning for post-operative use of medical videos

Klaus Schöffmann, AT
Associate Professor at ITEC, Alpen-Adria University Klagenfurt

Scientific Talk; Chair: T. Kau, C. Menard
13:20 – 13:50
AI beyond the hype - questions to ask when selecting your AI partner

Jeremey De Sy, IL
AIDOC

Keynote Lecture; Chair: T. Kau, C. Menard
13:50 – 14:10
Coffee Break

- sponsored by Nvidia

14:10 – 14:30
AI policies in the Alpe Adria region

N.N.

Keynote Lecture; Chair: M. Auer, K. Buehler
14:30 – 15:00
Implementing the GDPR in the Age of AI

Jos Dumortier, BE
Honorary Professor of ICT Law at the Faculty of Law of the University of Leuven

Keynote Lecture; Chair: M. Auer, K. Buehler
15:00 – 15:20
Deep learning for classifying fibrotic lung disease on high-resolution computed tomography

Simon Walsh, GB
Kings College London

Scientific Talk; Chair: M. Auer, K.Buehler
15:20 – 15:50
The human sense in AI

Joris Wakkie, NL
Chief Medical Officer of Aidence

Keynote Lecture; Chair: M. Auer, K. Buehler
15:50 – 16:10
Coffee Break

- sponsored by Boehringer Ingelheim

16:10 – 16:40
AI in the wild - Challenges and pitfalls in developing AI based solutions for radiology

Katja Bühler, AT
Head of VRVis Center for Virtual Reality and Visualisation, Vienna

Keynote Lecture; Chair: G. Friedrich, R. Harpf
16:40 – 17:00
Radiomics and machine learning based characterization of soft tissue sarcomas

Jan Peeken, DE 
Technical University of Munich, Radiotherapy

Scientific Talk; Chair: G. Friedrich, R. Harpf
17:00 – 17:30
Data – a paradigm shift in the medical field

Albert Frömel, AT
Microsoft Austria

Keynote Lecture; Chair: G. Friedrich, R. Harpf
17:30 – 18:00
The role of venture capital within the startup ecosystem: A Radiology AI startup case example

Gordon Euller, AT
Partner Digital Health at APEX Ventures

Keynote Lecture; Chair: G. Friedrich, R. Harpf
18:00 – 21:00
Get together

- sponsored by N.N.

Saturday
7 Dec 2019
08:30 – 09:00
Digitalization and the Future of Cancer Care

Hans Hofstraat, NL
Vice President of Philips Research

Keynote Lecture; Chair: K. Hausegger, G. Grabner
09:00 – 09:20
Improving FLAIR SAR efficiency by predicting b1-maps at 7 Tesla from a standard localizer scan using deep convolutional neural networks

Steffen Bollmann, AU
University of Queensland

Scientific Talk; Chair: K. Hausegger, G. Grabner
09:20 – 09:50
Artificial intelligence - Radiologists again at the forefront of innovation in medicine

Francesco Sardanelli, IT
Chief Editor of "European Radiology Experimental"; Director of Department Radiology at Policlinico San Donato, Milan

Keynote Lecture; Chair: K. Hausegger, G. Grabner
09:50 – 10:10
Coffee Break

- sponsored by Siemens Healthineers

10:10 – 10:40
Mapping the Ethics of Artificial Intelligence in Clinical Imaging

Marcello Ienca, CH
Research Fellow at the Department of Health Sciences and Technology at ETH Zurich, Switzerland

Keynote Lecture; Chair: K. Zatloukal, A. Holzinger
10:40 – 11:00
Computer assisted prediction of disease course and outcome in fibrosing lung diseases

Helmut Prosch, AT
Assosiate Professor of Radiology at Vienna General Hospital

Georg Langs, AT
Head of Computatinal Imaging Research Lab, Medical University of Vienna; Massachusetts Intitute of Technology

Scientific Talk; Chair: K. Zatloukal, A. Holzinger
11:00 – 12:00
Panel Discussion

Francesco Sardanelli, IT
Chief Editor of "European Radiology Experimental"; Director of Department of Radiology at Policlinico San Donato, Milan

Joris Wakkie, NL
Chief Medical Officer of Aidence, Amsterdam

Marcello Ienca, CH
Research Fellow at the Department of Health Sciences and Technology at ETH Zurich

Katja Bühler, AT
Head of VRVis Center for Virtual Reality and Visualisation, Vienna

Kurt Zatloukal, AT
Director of the Austrian National Node of BBMRI-ERIC, the European Biobanking and Biomolecular Research Infractructure

Panel Discussion; Moderator: Wilhelm Frank
12:00 – 13:00
Lunch

- sponsored by Boehringer Ingelheim

13:00 – 13:30
Big data in radiology - realistic and unrealistic expectations

Georg Langs, AT
Head of Coputational Imaging Research Lab, Medical University of Vienna; Massachusetts Institute of Technology

Keynote Lecture; Chair: F. Sardanelli, S. Bollmann
13:30 – 13:50
Weakly supervised learning from Whole Slide Images

Andreas Holzinger, AT
Medical University of Graz

Heimo Müller, AT
Medical University of Graz

Scientific Talk; Chair: F. Sardanelli, S. Bollmann
13:50 – 14:20
Artificial Intelligence in Healthcare – the Road Ahead

Tobias Heimann, DE
Siemens Healthineers, Head of Research Group in Medical Imaging Technologies

Keynote Lecture; Chair: F. Sardanelli, S. Bollmann
14:20 – 14:40
Market data on machine learning in medical imaging

Steve Holloway, GB
Director and Principal Analyst at Signify Research



Keynote Lecture; Chair: F. Sardanelli, S. Bollmann
14:40 – 15:00
AI to combine multiple medical opinions into a diagnosis

Martin Drozdik, AT
AI developer at Four Panels

Keynote Lecture; Chair: F. Sardanelli, S. Bollmann
15:00 – 15:10
Outlook AICI forum villach 2020

Thomas Kau, AT
Initiator of the AICI Forum Villach, Head of the Institute of Radiology at Villach General Hospital

15:10 – 15:30
Coffee Break

- sponsored by bitmovin

15:30 – 17:30
Gallery Draublick
DeepQSM

Steffen Bollmann, AU
Center for Advanced Imaging, University of Queensland

Tutorial
The event agenda's time zone is CEST.