ResearcherNorwegian University of Science and TechnologyNo recent work listed

Misha Kaandorp

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-7340-8256; OpenAlex author ID A5036513594. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2021: 1 paper

Papers 1

Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Co-author DOI 10.1002/mrm.28852 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Remy Klaassen · 1 shared paper, 2021 · strength 0.14
- Paper Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancre… DOI 10.1002/mrm.28852 ↗
Aart Johannes Nederveen · 1 shared paper, 2021 · strength 0.14
- Paper Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancre… DOI 10.1002/mrm.28852 ↗
Johannes Crezee · 1 shared paper, 2021 · strength 0.14
- Paper Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancre… DOI 10.1002/mrm.28852 ↗
Hanneke W.M. van Laarhoven · 1 shared paper, 2021 · strength 0.14
- Paper Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancre… DOI 10.1002/mrm.28852 ↗
Oliver J. Gurney‐Champion · 1 shared paper, 2021 · strength 0.14
- Paper Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancre… DOI 10.1002/mrm.28852 ↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.