Staff C.J. Gorter Center

Researchers Gorter Center

assen

Dr. Ir. Hans van Assen (CardioVascular Imaging Group)

  • MR image acquisition
  • Image analysis
beenakker

Dr. Jan-Willem Beenakker (Assistant professor)

  • Ocular MRI
  • MRI hardware
  • Ocular oncology
  • Refractive surgery
  • Raytracing
  • Experimental physics
bossoni

Dr. Lucia Bossoni (Researcher)

  • Nanomagnetism (SQUID magnetometry)
  • Magnetic resonance (MRI, NMR, EPR, muSR)
  • Alzheimer's disease
brink

Dr. ir. Wyger Brink (Post-doc) (Post-doctoral Researcher)

  • Electromagnetic Engineering
  • Radiofrequency fields
  • Bioeffects & MR Safety
  • MRI Hardware Development & Characterization
Marjolein Bulk

Marjolein Bulk (PhD Student)

  • Iron accumulation
  • Neuroinflammation
  • Susceptibility weighted MRI
  • Neurodegenerative diseases
  • Post-mortem brain imaging
doorenweerd

Dr. Nathalie Doorenweerd (Post-doc)

  • Neuroscience
  • MRI/MRS
  • Neuropsychology
  • Duchenne muscular dystrophy
franklin

Ir. Suzanne Franklin (Promovendus)

  • Arterial Spin Labeling (ASL)
  • Brain Perfusion Imaging
  • Body Imaging
hirschler

Lydiane Hirschler (Post-doc)

  • Arterial spin labeling
  • High-field MRI
  • Sequence programming
inglese

Francesca Inglese (PhD student)

  • Neuroscience
  • Neuropsychiatric Systemic Lupus Erithematosus (NPSLE)
  • MRI/MRS
  • Neuroinflammation.
jaarsma

Myriam Jaarsma-Coes (PhD student)

  • Ocular MRI
  • Ocular oncology
  • Motion correction
  • DCE analysis
juffermans

Ir. Joe Juffermans (PhD Student)

  • Cardiovascular MRI
  • 4D Flow MRI
  • Cardiovascular Imaging Processing
  • Aortic Dissection and Aneurysm
kan

Dr. Hermien E. Kan

  • MR spectroscopy
  • Neuromuscular diseases
  • Energy metabolism
keene

Kevin Keene (PhD Student)

  • Neurology
  • Neuromuscular diseases
  • Myasthenia Gravis
  • MRI/MRS
koolstra

Ir. Kirsten Koolstra (PhD Student)

  • Dielectric MR materials
  • MR Fingerprinting
  • Reconstruction
leijsen

Ir. Reijer Leijsen (Promovendus)

  • Electrical Properties Tomography
munting

Leon Munting (PhD student)

  • Arterial Spin Labeling
  • Pre-clinical MRI
  • Alzheimer's disease
najac

Dr. Chloe Najac (Post-doctoral fellow)

  • MR spectroscopy of the brain
  • Cellular metabolism
  • Tissue microstructure
osch

Matthias J.P. van Osch, PhD

  • Perfusion MRI
  • 7 Tesla MRI: clinical applications
  • Cerebrovascular MRI
petitclerc

Leonie Petitclerc (PhD student)

  • Arterial Spin Labeling
  • MRI Sequence Programming
  • Image Post-processing and Analysis
plas

Merlijn van der Plas (PhD student)

  • Brain Perfusion Imaging
  • Arterial Spin Labeling (ASL)
  • Radial Golden Angle read-out
ronen

Dr. Itamar Ronen (Associate Professor)

  • Diffusion MR methods for elucidation of tissue microstructure
  • Quantitative MRI of neurological disorders
  • Quantification of myelin in brain white matter
rooden

Sanneke van Rooden (Researcher)

  • HCHWA-D
  • Alzheimer's disease
  • MRI
  • Neuropsychology
ruytenberg

Thomas Ruytenberg, MSc (PhD Student)

  • RF engineering
  • Laryngeal imaging
sardjoe

Aashley Sardjoe Mishre (PhD student)

  • Radiology
  • Imaging of brown adipose tissue
  • MRI/MRS
  • Image post-processing
schmid

Ir. Sophie Schmid

  • Arterial spin labeling
  • Brain perfusion imaging
  • Cerebrovascular reactivity
  • Hereditary Cerebral Hemorrhage With Amyloidosis - Dutch type (HCHWA-d, Katwijkse ziekte)
  • Cerebral amyloid angiopathy (CAA)
veeger

Thom Veeger (PhD-student)

  • Duchenne Muscular Dystrophy
  • Biomechanics
  • Muscle physiology
  • MRI
vught

Luc van Vught (PhD-student)

  • Oogheelkunde
  • Radiologie
webb

Prof. Dr. A.G. Webb (Professor)

  • High field MRI and its clinical applications
  • Design of RF coils for magnetic resonance
  • Low field sustainable MRI
  • New materials for improving MR
weerd

Louise van der Weerd, PhD

  • Molecular imaging
  • Small animal MRI
westenberg

Dr. Ir. Jos Westenberg (Associate Professor)

  • Cardiovascular MRI
  • MR angiography
  • 4D flow MRI
  • Human hemodynamics
yousefi

Sahar Yousefi

  • Medical image processing
  • Deep learning
  • Machine learning
  • Probabilistic graphical models
  • Image and video processing