MRI Research Amsterdam UMC

Aart Nederveen

Full professor

Aart Nederveen (1974) has been actively engaged in the field of medical physics since 1998. After completing his PhD thesis in radiotherapy, he served as a postdoctoral researcher at the NMR department of the Bijvoet Center in Utrecht. Alongside, he pursued studies in philosophy in Leiden and Utrecht, fostering an interest in the societal implications of medical technology.

In 2005, Aart Nederveen joined the Radiology department of the AMC in Amsterdam, where he assumed the role of research coordinator for the 3T MRI research facility of the AMC/UvA. Completing his medical physicist training in Radiology in 2009, he became a Principal Investigator (PI) at the AMC in 2012. In 2017, he was appointed as a professor of Applied MR Physics at the University of Amsterdam’s Faculty of Medicine (AMC-UvA).

Aart’s research primarily revolves around advancing medical imaging through magnetic resonance imaging (MRI). Leading a research group, he focuses on the design and validation of innovative MRI technologies, particularly in cardiovascular, muscular and oncologic imaging. Recently, he has delved into exploring whether humans possess electromagnetic sensitivity, a question with implications for both MR safety and the increasing presence of manmade electromagnetic fields in the environment.

With a mentoring role for over 30 PhD students in the past 15 years, Aart Nederveen co-leads various research projects funded by organizations such as the Netherlands Organisation for Scientific Research, NWO Domain Applied and Engineering Sciences, the National Institute of Health, and the Dutch Cancer Society. While actively involved in several scientific societies, he serves as a reviewer for international journals, scientific conferences and grant applications.


AI for MRI reconstruction and beyond

AI infrastructure for Amsterdam UMC

ASAP (MR Elastography)

Comprehensive Assessment of 4D Thoracic Aorta Biomechanics Using Novel Cardiac MRI Technology

DIMASK: Development of an innovative MRI technology to assess micro-trauma in skeletal muscles

FetalFlow: Improved detection of congenital heart disease in the fetus using novel multi-dimensional anatomical and blood flow cardiac MRI

Machine learning for disease characterization in neuroimaging

MARVY: Gamechanger in Development of MRI based endovasculAR procedures for Vascular surgerY

NICI: Non-Invasive Chemistry Imaging

Non-invasive MR platform to study muscle ageing during in-magnet exercise

Optimizing long-term treatment in ADHD: neurobiological and behavioral consequences of prolonged methylphenidate use

Patientmonitoring tijdens MRI-scans met de VitalEye camera

phMRS: Characterizing the brain response to psychotropic medication using a novel pharmacological magnetic resonance imaging approach

ROTATION: Respiratory mOtion-compensaTed Abdominal Tumour Imaging at high-resolutiON

SANE-QC: Standardization & Automation of NEuroimaging in curation and quality control

SIGNET: Sensing and Image-Guided Neurological therapies, cardiac Electrophysiology and Tumour treatments

TOP-QMRI: TOwards Personalized multi-modality oesophageal cancer treatment using machine learning-based Quantitative MRI

TRIPLET: TaRgeted therapy and Imaging in experimental PLacEnTa insufficiency

Taking a closer look at tumors

UvA Data Science Center Accelerate Program 2021