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.
-
Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex
In:
eLIFE, vol. 12
DOI: https://doi.org/10.7554/eLife.81067
Research output: Contribution to Journal › Article (Published) -
Eigenvector centrality dynamics are related to Alzheimer's disease pathological changes in non-demented individuals
In:
Brain Communications, vol. 5, pp. fcad088
DOI: https://doi.org/10.1093/braincomms/fcad088
Research output: Contribution to Journal › Article (Published) -
Eano-Euracan-Sno Guidelines on Circumscribed Astrocytic GLIOMAS, Glioneuronal and Neuronaltumors
In:
Neuro-Oncology, vol. 24, pp. 2015-2034
DOI: https://doi.org/10.1093/neuonc/noac188
Research output: Contribution to Journal › Article (Published) -
Network analysis characterizes key associations between subjective fatigue and specific depressive symptoms in early relapsing-remitting multiple sclerosis
In:
Multiple Sclerosis and Related Disorders, vol. 69, pp. 104429
DOI: https://doi.org/10.1016/j.msard.2022.104429
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Longitudinal microstructural MRI markers of demyelination and neurodegeneration in early relapsing-remitting multiple sclerosis: Magnetisation transfer, water diffusion and g-ratio
In:
NeuroImage: Clinical, vol. 36, pp. 103228
DOI: https://doi.org/10.1016/j.nicl.2022.103228
Research output: Contribution to Journal › Article (E-pub ahead of print)