What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Artificial intelligence
- Statistics
Michael Miller mostly deals with Internal medicine, Neuroscience, Magnetic resonance imaging, Artificial intelligence and Brain mapping.
His Internal medicine research includes elements of Endocrinology and Cardiology.
His Neuroscience research incorporates elements of Alzheimer's disease, White matter and Diffusion MRI.
As part of one scientific family, Michael Miller deals mainly with the area of Magnetic resonance imaging, narrowing it down to issues related to the Nuclear medicine, and often Pattern matching.
His Artificial intelligence study incorporates themes from Atlas, Atlas, Computer vision and Pattern recognition.
His Brain mapping research integrates issues from Cerebral cortex, Neuroanatomy, Central nervous system and Cortex.
His most cited work include:
- Comprehensive molecular characterization of gastric adenocarcinoma (2822 citations)
- Triglycerides and Cardiovascular Disease A Scientific Statement From the American Heart Association (1218 citations)
- Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (1096 citations)
What are the main themes of his work throughout his whole career to date?
Michael Miller mainly investigates Artificial intelligence, Internal medicine, Computer vision, Neuroscience and Pattern recognition.
Michael Miller combines subjects such as Large deformation diffeomorphic metric mapping, Diffeomorphism and Atlas with his study of Artificial intelligence.
His Internal medicine research includes elements of Endocrinology and Cardiology.
He has included themes like White matter, Magnetic resonance imaging and Diffusion MRI in his Neuroscience study.
He most often published in these fields:
- Artificial intelligence (22.11%)
- Internal medicine (19.80%)
- Computer vision (11.01%)
What were the highlights of his more recent work (between 2018-2021)?
- Internal medicine (19.80%)
- Artificial intelligence (22.11%)
- Cardiology (6.57%)
In recent papers he was focusing on the following fields of study:
His main research concerns Internal medicine, Artificial intelligence, Cardiology, Disease and Pattern recognition.
His research in Internal medicine intersects with topics in Eicosapentaenoic acid and Endocrinology.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Missing data and Neuroimaging.
Michael Miller is interested in Myocardial infarction, which is a field of Cardiology.
The study incorporates disciplines such as Statin and Relative risk reduction in addition to Hypertriglyceridemia.
His research is interdisciplinary, bridging the disciplines of Diabetes mellitus and Statin.
Between 2018 and 2021, his most popular works were:
- Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia (958 citations)
- Statin Safety and Associated Adverse Events: A Scientific Statement From the American Heart Association (156 citations)
- Effects of Icosapent Ethyl on Total Ischemic Events: From REDUCE-IT (102 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Statistics
Michael Miller mainly investigates Internal medicine, Artificial intelligence, Disease, Cardiology and Pattern recognition.
Particularly relevant to Triglyceride is his body of work in Internal medicine.
His Artificial intelligence study combines topics in areas such as Machine learning and Missing data.
In general Disease study, his work on Dementia, Cardiovascular health and Organ system often relates to the realm of Health benefits, thereby connecting several areas of interest.
His Cardiology research is multidisciplinary, incorporating perspectives in Platelet aggregation inhibitor, Placebo and Reduction.
His study on Automated segmentation is often connected to Nissl body as part of broader study in Pattern recognition.
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