What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Magnetic resonance imaging
- Internal medicine
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.
His most cited work include:
- Nonrigid registration using free-form deformations: application to breast MR images (4302 citations)
- The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. (2619 citations)
- The ATLAS Experiment at the CERN Large Hadron Collider (2415 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Artificial intelligence (43.26%)
- Computer vision (37.62%)
- Image registration (23.82%)
What were the highlights of his more recent work (between 2012-2021)?
- Clinical trial (9.09%)
- Disease (5.64%)
- Internal medicine (5.33%)
In recent papers he was focusing on the following fields of study:
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.
Between 2012 and 2021, his most popular works were:
- The ATLAS Experiment at the CERN Large Hadron Collider (2415 citations)
- Standardization of analysis sets for reporting results from ADNI MRI data (128 citations)
- Bapineuzumab for mild to moderate Alzheimer's disease in two global, randomized, phase 3 trials. (125 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Magnetic resonance imaging
- Internal medicine
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.
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