Visualiseringssenterets (MMIV) årlige konferanse
Visualiseringssenteret (MMIV), forankret i Radiologisk avdeling på Haukeland Universitetesjukehus, har sin årlige konferanse 9 og 10 desember 2019 i Bikuben. Hovedtemaet for konferansen er konvergens av medisinsk datavitenskap for forbedret pasientbehandling. De fire MMIV-senterprosjektene presenterer vitenskapelige økter om maskinlæring, bildediagnostikk av kreft, nevroimaging og visualisering, samt inviterte foredragsholdere som presenterer beslektede emner. Konferansen har et fokus bl.a. på kunstig intelligens. Alt er gratis og foredragene er åpne for alle interesserte.
Hovedinnhold
The conference is open to everyone, and there is no admission fee. The conference is open for registration.
Go to this page for registration and more information.
Conference Program
Monday December 9th
10:00 – 10:05 Welcome address by Eivind Hansen, Chief Executive Officer of the Haukeland University Hospital
10:05 – 10:20 Rector Dag Rune Olsen, University of Bergen: Convergence of Sciences
10:20 – 11:00 Keynote Prof. Bradley J. Erickson, Mayo Clinic Rochester – The bottom of the curve: Deep learning technologies that are going to change medical imaging
11:00 – 12:00 Poster Speed Presentations
12:00 – 13:00 Lunch
13:00 – 14:30 Artificial intelligence and computational medicine in the clinic
- Arvid Lundervold – Artificial intelligence and computational medicine
- Alexander S. Lundervold – Perspectives on deep learning in medical imaging @ MMIV
- Hauke Bartsch – Designing a research environment for imaging-based ML methods – How AI shapes the future of hospital IT
- Helga M. Brøgger – AI in the radiology clinic. Perspectives from the Norwegian Society of Radiology.
14:30 – 15:30 Coffee break
15:30 – 16:10 Keynote Prof. Anders Persson, Linköping University – Benefits, barriers and opinions on multidisciplinary team building: CMIV a case study
16:30 – 18:30 Reception at the MMIV centre
Tuesday December 10th
09:00 – 10:30 Convergence of sciences to improve endometrial cancer patient care
- Hanny Pijnenborg – Biomarkers in endometrial cancer patient treatment – why do we need them?
- Kristine E. Fasmer – Preoperative PET-CT and MRI for individualization of surgical therapy in endometrial cancer
- Heidi Espedal – Preclinical imaging models guiding therapy in endometrial cancer
- Erlend Hodneland – Automated radiomic tumor profiling in gynecologic cancer – the future?
- Erling Høivik – Genomic and radiogenomic tumor profiling to improve endometrial cancer treatment – how are we to get there?
10:30 – 11:00 Coffee break
11:00 – 11:40 Keynote Prof. Sebastien Ourselin, King’s College London – The London Medical Imaging & AI Centre for Value-Based Healthcare
11:40 – 12:30 Lunch
12:30 – 14:00 Advanced diffusion imaging and implications for diagnostics
- Ofer Pasternak – From free-water to free waveforms: Diffusion MRI of Cellular and Extracellular Brain Microenvironments
- Gaute Wathle – Wishlist of diffusion biomarkers for brain imaging
- Frank Riemer – One box to fit them all: Diffusion microstructure imaging and the question of where to find water
- Leif Oltedal – Brain water after a single session of Electroconvulsive therapy
14:00 – 14:30 Coffee break and Poster Presentations
14:30 – 15:30 Visual Data Science for Neuroscience
- Thomas Schultz – Hypothesis Generation and Predictive Modeling in Diffusion MRI
- Veronika Šoltészová – Memento and BrainGazer – two visual data science technologies for neuroscience
- Laura Garrison – Visual imaging biomarker discovery for neuroscience
15:30 – 16:00 Panel ‘Convergence in Computational Medicine: Opportunities and Threats’