andrew f. scarsbrook
Department of Radiology, Leeds Teaching Hospitals NHS Trust
United Kingdom
- Frontiers in Nuclear Medicine
- Physics and Data Analysis
- Research Topics
- Nuclear Medicine Advances Through Artificial Intelligence and Intelligent Informatics
Nuclear Medicine Advances Through Artificial Intelligence and Intelligent Informatics
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36 Authors
bolin pan
School of Biomedical Engineering and Imaging Sciences, King’s College London
United Kingdom
charalampos tsoumpas
Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds
United Kingdom
daniel ward
Department of Radiology, Newcastle upon Tyne Hospitals NHS Foundation Trust
United Kingdom
georgios soultanidis
BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai
United States
julien m. y. willaime
Mirada Medical Ltd.
United Kingdom
lisa duff
Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds
United Kingdom
muyang zhang
Department of Statistics, School of Mathematics, University of Leeds
United Kingdom
nouf a. mushari
Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds
United Kingdom
roger lecomte
Sherbrooke Molecular Imaging Centre of CRCHUS and Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke
Canada
samuel kuttner
The PET Imaging Center, University Hospital of North Norway
Norway
tom sulkin
Department of Radiology, Royal Cornwall Hospitals NHS Trust
United Kingdom
Published in
Frontiers in Nuclear Medicine
- Physics and Data Analysis
- PET and SPECT
- Radiopharmacy and Radiochemistry
- Radionuclide Therapy
- Radiomics and Artificial Intelligence
Impact
- 7,536Topic views
- 4,325Article views
- 1,476Article downloads