What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Radiology
His scientific interests lie mostly in Artificial intelligence, Image registration, Computer vision, Magnetic resonance imaging and Fiducial marker.
He studies Artificial intelligence, focusing on Segmentation in particular.
He interconnects Parallel algorithm, Computation, Speedup and Computed tomography in the investigation of issues within Image registration.
His Computer vision research includes elements of Similarity measure, Mutual information and Position.
His Magnetic resonance imaging research incorporates themes from Feature, Surface and Nuclear medicine.
As a part of the same scientific study, he usually deals with the Fiducial marker, concentrating on Image processing and frequently concerns with Tomography, Fiducial points and Centroid.
His most cited work include:
- Predicting error in rigid-body point-based registration (850 citations)
- Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques (827 citations)
- A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions (662 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Computer vision, Image registration, Fiducial marker and Nuclear medicine are his primary areas of study.
His work carried out in the field of Artificial intelligence brings together such families of science as Point and Pattern recognition.
His Computer vision study combines topics in areas such as Transformation, Similarity measure, Centroid and Position.
His study in Image registration is interdisciplinary in nature, drawing from both Image processing, Magnetic resonance imaging, Computed tomography and Computation.
His Fiducial marker study incorporates themes from Gold standard and Imaging phantom.
In the field of Nuclear medicine, his study on Positron emission tomography overlaps with subjects such as Brain surface.
He most often published in these fields:
- Artificial intelligence (62.16%)
- Computer vision (57.66%)
- Image registration (44.14%)
What were the highlights of his more recent work (between 2005-2017)?
- Tracking (9.01%)
- Optics (7.21%)
- Radiosurgery (6.31%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Tracking, Optics, Radiosurgery, Image registration and Computer vision.
His Dose profile and Collimator study, which is part of a larger body of work in Optics, is frequently linked to Leakage, bridging the gap between disciplines.
The Radiosurgery study combines topics in areas such as Imaging phantom, Nuclear medicine, Fiducial marker and Biomedical engineering.
His Image registration research is multidisciplinary, incorporating perspectives in Segmentation, Image segmentation, Data mining, Navigation system and Information retrieval.
His work deals with themes such as Breathing, Position and Artificial intelligence, which intersect with Computer vision.
His research in Artificial intelligence is mostly concerned with Stereo camera.
Between 2005 and 2017, his most popular works were:
- Comprehensive Maps of Drosophila Higher Olfactory Centers: Spatially Segregated Fruit and Pheromone Representation (481 citations)
- The design, physical properties and clinical utility of an iris collimator for robotic radiosurgery (89 citations)
- Selective image similarity measure for bronchoscope tracking based on image registration. (74 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Radiology
His primary scientific interests are in Optics, Tracking, Computer vision, Artificial intelligence and Pheromone.
His studies deal with areas such as Simulation, Rotation and Electromagnetic tracking as well as Optics.
His Tracking research is multidisciplinary, relying on both Breathing, Similarity measure and Feature.
His study involves Image registration and Navigation system, a branch of Computer vision.
All of his Artificial intelligence and Match moving, Mutual information, Orientation and Stereo camera investigations are sub-components of the entire Artificial intelligence study.
His Pheromone study overlaps with Drosophila, Olfactory receptor, Anatomy, Mushroom bodies and Antennal lobe.
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