Mohn Medical Imaging and Visualization Centre

The Mohn Medical Imaging and Visualization Centre (MMIV) has been established in collaboration between the University of Bergen and the Haukeland University Hospital through financial support from the Bergen Research Foundation (BFS) to promote cross-disciplinary research activities related to state-of-the-art imaging equipment such as preclinical and clinical high field MRI, CT and hybrid PET/CT/MR.

The aim of the Centre is to research new methods in quantitative imaging and interactive visualization to predict changes in health and disease across spatial and temporal scales. This encompassed research in tissue feature detection, feature extraction and feature prediction.

With emphasis on the natural sciences, the long-term goal of the Centre is to achieve excellence in the interplay between imaging (physics, chemistry, radiography, radiology), visualization (computer science and mathematics) and in vivo clinical and research applications (including applications in basic research and preclinical validation).

Opening Ceremony – December 11th

We cordially invite you to the official opening of the new MMIV Centre, with speeches, refreshments and interactive demonstrations, at the MR section (Parkeringsdekket) Department of Radiology, Haukeland University Hospital on Monday December 11th from 14:00 – 16:00. The event is free and open to everyone, no registration is required.

Opening Ceremony Program

14:00 Official opening by the BFS, University of Bergen, Haukeland University Hospital

14:20 Welcome to the MMIV

14:45 Refreshments, explore the Centre, interactive demonstration

Opening Conference – December 12th

Welcome to the scientific opening conference at Bikuben conference center, Tuesday December 12th.

The main theme of the conference is machine learning and its applications in medicine. The background and scientific aims of the three projects at the centre will be presented, along with invited talks on related topics.

The conference is open to everyone, and there is no admission fee.  Please register before the 4th of December to sign up for the free lunch:

Speakers

Hauke Bartsch

CTIPM, UC San Diego

Bradley J, Erickson

Radiology Informatics, Mayo Clinic

Jessie Kennedy

Centre for Algorithms, Visualisation and Evolving Systems, Edinburgh Napier University
Ender Konukoglu

Ender Konukoglu

Computer Vision Laboratory, ETH, Zürich

Johanna Pijnenborg

Radboud University Medical Centre, Nijmegen

Anne Solberg

Department of Informatics, University of Oslo

Arvid Lundervold

Department of Biomedicine, UiB

Ingfrid Haldorsen

Department of Radiology, Haukeland University Hospital

Helwig Hauser

Department of Informatics, UiB

Conference Program

09:00 – 09:15 Welcome

09:15 – 09:45 Prof. Bradley J. Erickson, Mayo Clinic Rochester: Machine learning in medicine

09:45 – 10:15 Prof. Anne H. Schistad Solberg, UiO: Deep learning in medical applications

10:15 – 10:45 Prof. Johanna Pijnenborg, Radboud University Medical Centre, Nijmegen: Biomarkers enabling tailored therapy and improved patient care in gynecological cancer

10:45 – 11:15 Break

11:15 – 11:45 Prof. Ingfrid Haldorsen, HUS: Centre Project: Precision Imaging in Gynecological Cancer

11:45 – 12:15 Prof. Jessie Kennedy, Edinburgh Napier University: Visualizing Taxonomy

12:15 – 13:15 Lunch

13:15 – 13:45 Prof. Helwig Hauser, UiB: Centre Project: Visual Data Science for Imaging Biomarker Discovery

13:45 – 14:15 Prof. Hauke Bartsch, UCSD: How to handle big data: Infrastructure for multi-site collaborations 

14:15 – 14:45 Break

14:45 – 15:15 Prof. Ender Konukoglu, ETH, Zürich: Subject-specific disease effect maps with machine learning

15:15 – 15:45 Prof. Arvid Lundervold, UiB: Centre Project: Computational medical imaging and machine learning

15:45 – 16:00 Closing remarks and future directions

 

Next year’s conference will be in September 2018, focusing on imaging biomarkers and interactive visualization. Welcome back!

Venue

Bikuben, Jonas Lies Vei 72C

Bikuben kurs- og konferansesenter

Centre projects

Computational medical imaging and machine learning – methods, infrastructure and applications

Precision imaging in gynecologic cancer

Visual Data Science for Large Scale Hypothesis Management in Imaging Biomarker Discovery

Computational medical imaging and machine learning – methods, infrastructure and applications

Precision imaging in gynecologic cancer

Visual Data Science for Large Scale Hypothesis Management in Imaging Biomarker Discovery

Sponsors

Contact

Postal address

Medical Imaging and Visualization Centre
att. Renate Grüner, Centre leader
Haukeland University Hospital
Dept of Radiology
Post Office Box 1400
N – 5021 Bergen