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 – Seeing is Believing: Can We Trust AI?
- 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’
Wednesday December 11th
Hackathon “MMIV HealthHack 2020”