What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Surgery
- Artificial intelligence
His scientific interests lie mostly in Artificial intelligence, Computer vision, Medical imaging, Computer graphics and Volume rendering.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Myelinated nerve fiber, Resolution and Volume.
His Computer vision research is multidisciplinary, incorporating elements of Fiber, Transverse plane, Average diameter and Cylinder.
His research integrates issues of Software tool, Image registration, Medical physics, Hazard ratio and Radiological weapon in his study of Medical imaging.
His Computer graphics research is multidisciplinary, relying on both Visualization and Software system.
Within one scientific family, he focuses on topics pertaining to Image processing under Volume rendering, and may sometimes address concerns connected to Magnetic resonance imaging, Rendering, Patient study, CUDA and Ray casting.
His most cited work include:
- Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques (827 citations)
- Population-based study of age and sex differences in bone volumetric density, size, geometry, and structure at different skeletal sites. (673 citations)
- A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men. (393 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Computer vision, Radiology, Biomedical engineering and Visualization.
His Artificial intelligence study integrates concerns from other disciplines, such as Imaging phantom and Pattern recognition.
The study incorporates disciplines such as Algorithm, Volume and Robustness in addition to Computer vision.
The concepts of his Radiology study are interwoven with issues in Prostate, Lung, Idiopathic pulmonary fibrosis and Prostate cancer.
His studies deal with areas such as Cardiac Ablation, Ablation, Cardiac cycle, Tomography and Computed tomography as well as Biomedical engineering.
His Visualization research includes themes of Computer graphics and Virtual reality, Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (25.18%)
- Computer vision (19.80%)
- Radiology (16.38%)
What were the highlights of his more recent work (between 2008-2021)?
- Radiology (16.38%)
- Artificial intelligence (25.18%)
- Biomedical engineering (15.89%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Radiology, Artificial intelligence, Biomedical engineering, Cardiac Ablation and Lung.
His Computed tomography and Medical imaging study are his primary interests in Radiology.
His study in Medical imaging is interdisciplinary in nature, drawing from both Image processing and Image guidance.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
His Computer vision research is multidisciplinary, incorporating perspectives in Imaging phantom and Visualization.
His Biomedical engineering study also includes fields such as
- Ablation together with Lesion,
- Spine surgery and related 3d anatomy and Bone mineral.
Between 2008 and 2021, his most popular works were:
- Effect of Catheter Ablation vs Antiarrhythmic Drug Therapy on Mortality, Stroke, Bleeding, and Cardiac Arrest Among Patients With Atrial Fibrillation: The CABANA Randomized Clinical Trial. (352 citations)
- Medicine Meets Virtual Reality 17 (217 citations)
- Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis (99 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Radiology
Richard A. Robb mainly focuses on Radiology, Surgery, Lung, Artificial intelligence and Quantitative computed tomography.
His Medical imaging and Patient registration investigations are all subjects of Radiology research.
Richard A. Robb has included themes like Temporal lobe, Ictal-Interictal SPECT Analysis by SPM, Medical physics and Usability in his Surgery study.
Richard A. Robb has researched Artificial intelligence in several fields, including Mean curvature, Computer vision and Pattern recognition.
His Computer vision study incorporates themes from Imaging phantom and Endoscope.
His work focuses on many connections between Visualization and other disciplines, such as Surgical instrument, that overlap with his field of interest in Image processing and Cardiac Ablation.
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.
