His scientific interests lie mostly in Image registration, Artificial intelligence, Computer vision, Magnetic resonance imaging and Image processing. His Image registration research incorporates elements of Image segmentation, Interventional magnetic resonance imaging, Medical physics, Visualization and Radionuclide imaging. His work deals with themes such as Tomography and Pattern recognition, which intersect with Artificial intelligence.
The study incorporates disciplines such as Imaging phantom, Radiography and Affine transformation in addition to Computer vision. His work carried out in the field of Magnetic resonance imaging brings together such families of science as Intraoperative Period, Nuclear medicine, Deformation and Craniotomy. His study in Image processing is interdisciplinary in nature, drawing from both Transformation, Algorithm, Anatomy & histology and Entropy.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image registration, Magnetic resonance imaging and Nuclear medicine. His Artificial intelligence course of study focuses on Imaging phantom and Fiducial marker. His biological study spans a wide range of topics, including Visualization and Mutual information.
His research integrates issues of Image segmentation, Medical imaging, Deformation, Mr images and Similarity measure in his study of Image registration. As a part of the same scientific family, Derek L. G. Hill mostly works in the field of Magnetic resonance imaging, focusing on Neuroimaging and, on occasion, Biomarker. Derek L. G. Hill has researched Image processing in several fields, including Anatomy & histology, Tomography and Algorithm.
His main research concerns Clinical trial, Disease, Internal medicine, Dementia and Oncology. His Clinical trial research includes elements of Alzheimer's disease, Regulatory science, Neuroimaging and Physical medicine and rehabilitation. Derek L. G. Hill interconnects Positron emission tomography, Magnetic resonance imaging, Medical physics and Bioinformatics in the investigation of issues within Neuroimaging.
His study in the fields of Interventional magnetic resonance imaging under the domain of Magnetic resonance imaging overlaps with other disciplines such as Standardization. His Multi modality research is within the category of Artificial intelligence. His Artificial intelligence study incorporates themes from Hippocampal formation and Imaging phantom.
Derek L. G. Hill focuses on Clinical trial, Neuroimaging, Disease, Biomarker and Magnetic resonance imaging. Derek L. G. Hill has included themes like Alzheimer's disease, Neurology, Dementia and Biometrics in his Clinical trial study. His work on Bapineuzumab is typically connected to Sample size determination as part of general Alzheimer's disease study, connecting several disciplines of science.
His Neuroimaging study combines topics in areas such as Positron emission tomography, Robustness and Bioinformatics. His studies examine the connections between Biomarker and genetics, as well as such issues in Parkinson's disease, with regards to Physical medicine and rehabilitation, Observational study and Regulatory science. The Magnetic resonance imaging study combines topics in areas such as Medical physics and Cardiac interventions.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The ATLAS Experiment at the CERN Large Hadron Collider
G. Aad;E. Abat;J. Abdallah;J. Abdallah;A. A. Abdelalim.
Journal of Instrumentation (2008)
Nonrigid registration using free-form deformations: application to breast MR images
D. Rueckert;L.I. Sonoda;C. Hayes;D.L.G. Hill.
IEEE Transactions on Medical Imaging (1999)
Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data
G. Aad;B. Abbott;J. Abdallah;A. A. Abdelalim.
European Physical Journal C (2012)
An overlap invariant entropy measure of 3D medical image alignment
Colin Studholme;Derek L. G. Hill;David J. Hawkes.
Pattern Recognition (1999)
Expected performance of the ATLAS experiment - detector, trigger and physics
G. Aad;E. Abat;B. Abbott;J. Abdallah.
Jan 2009. 1852pp. arXiv:0901.0512 (2009)
The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.
Clifford R. Jack;Matt A. Bernstein;Nick C. Fox;Paul Thompson.
Journal of Magnetic Resonance Imaging (2008)
Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics
G. Aad;E. Abat;B. Abbott.
arXiv: High Energy Physics - Experiment (2008)
Medical image registration
Derek L G Hill;Philipp G Batchelor;Mark Holden;David J Hawkes.
Physics in Medicine and Biology (2001)
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
West J;Fitzpatrick Jm;Wang My;Dawant Bm.
Journal of Computer Assisted Tomography (1997)
STAR detector overview
K. H. Ackermann;N. Adams;C. Adler;Z. Ahammed.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment (2003)
Profile was last updated on December 6th, 2021.
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