Arvid Lundervold

Position

Emeritus, Professor em. medical information technology (BSc, MD, PhD)

Affiliation

Short info

Current research interests include medical (MR) image processing (in brain and aging, kidney and oncology); computational medicine; mathematical and statistical modeling, including machine learning and deep learning; generative AI and foundation models (LLMs) in (bio)medicine.

Research

CV  (May, 2024)

Medical AI, Mohn Medical Imaging and Visualization Centre (MMIV)

Medical AI (MMIV-ML) GitHub

Computational medicine GitHub

Neuroinformatics and image analysis (outdated/historical)

OERCompBiomed

Brain-Gut-Microbiota Interaction in IBS [Study protocol];  GitHub: ibs-brain, BRIEF-IBS, ORE_Psych_ML_IBS, ibs-distress

Brain and Consciousness - Team member

Portrait - interview with MedViz June 2016

AI in medicine - Editorial Board

Computerized Medical Imaging and Graphics - Editorial board - Associate Editor

Akademix.no - Team member

Outreach

Presentations / slides

GitHub repository

GitHub homepage

MMIV-ML homepage 

Google Scholar link

IEEE Xplore link

Teaching

Publications

Academic article

Conference poster

Conference lecture

Conference abstract

Research report

Doctoral thesis (PhD)

Academic literature review

Academic book chapter

Master’s thesis

Lecture

Journal corrigendum

Professional article

Letter to the editor

See a complete overview of publications in NVA.

ORCID (0000-0002-0032-4182)

PubMed

IEEE Xplore 

Google scholar

DBLP

Projects

Kompetanse

medisinsk bildebehandling og mønstergjenkjenning; multimodal og funksjonell MR avbildning (hjerne, nyre, og i onkologi); bilde-segmentering; bilde-registrering; longitudinell analyse; bildebaserte biomarkører; matematisk og statistisk modellering inkludert maskinlæring og dyplæring; nevrale nettverk i menneske og maskin