Professor Adam Waldman
Chair of Neuroradiology
- Centre for Clinical Brain Sciences
- Edinburgh Imaging
Contact details
- Tel: +44 (0)131 465 9599
- Email: Adam.Waldman@ed.ac.uk
Address
- Street
-
Edinburgh Medical School: Deanery of Clinical Sciences
Centre for Clinical Brain Sciences
The Chancellor's Building
49 Little France Crescent - City
- Edinburgh
- Post code
- EH16 4SB
Qualifications
Doctor of Philosophy (PhD), University of Bristol
Bachelor of Medicine, University of Cambridge, Cambridge, UK
Bachelor of Medicine and Bachelor of Surgery, University of Cambridge, Cambridge, UK
Master of Arts, University of Cambridge, Cambridge, UK
Bachelor of Science, University of Lacaster
Fellowship of the Royal College of Physicians of London, FRCP
Certificate of Completed Specialist Training: Diagnostic Radiology
Fellowship of the Royal College of Radiologists, UK, FRCR Part 2
Fellowship of the Royal College of Radiologists, UK, FRCR Part I
Membership of Royal College of Physicians, UK, MRCP Part II
Membership of Royal College of Physicians, UK, MRCP Part I
Research summary
My own research involves collaborative development and translation of quantitative and physiological neuroimaging techniques. Main areas of interest are neurooncology, neurodegenerative and neuroinflammatory disease.
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IDENTIFICATION OF OCCULT CEREBRAL MICROBLEEDS IN ADULTS WITH IMMUNE THROMBOCYTOPENIA
In:
Blood
DOI: https://doi.org/10.1182/blood.2020004858
Research output: Contribution to Journal › Article (Published) -
Hippocampal Subfield Volumes in Middle-Aged Adults at Risk of Dementia
In:
Journal of Alzheimer's Disease, pp. 1-8
DOI: https://doi.org/10.3233/JAD-200238
Research output: Contribution to Journal › Article (Published) -
Imaging and Tissue Biomarkers of Choline Metabolism in Diffuse Adult Glioma: 18F-Fluoromethylcholine PET/CT, Magnetic Resonance Spectroscopy, and Choline Kinase α
In:
Cancers, vol. 11, pp. 1969
DOI: https://doi.org/10.3390/cancers11121969
Research output: Contribution to Journal › Article (Published) -
Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images
In:
Computerized Medical Imaging and Graphics, vol. 79
DOI: https://doi.org/10.1016/j.compmedimag.2019.101685
Research output: Contribution to Journal › Article (Published) -
Reliability of dynamic contrast-enhanced magnetic resonance imaging data in primary brain tumours: a comparison of Tofts and shutter speed models
In:
Neuroradiology
DOI: https://doi.org/10.1007/s00234-019-02265-2
Research output: Contribution to Journal › Article (E-pub ahead of print)