What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Surgery
- Radiology
Russell H. Taylor mainly focuses on Artificial intelligence, Robot, Computer vision, Simulation and Surgery.
His Robotics, Image and Coordinate system study in the realm of Artificial intelligence interacts with subjects such as Calibration.
The concepts of his Robot study are interwoven with issues in Control engineering and Task.
He has researched Computer vision in several fields, including Imaging phantom and Position.
The various areas that Russell H. Taylor examines in his Simulation study include Surgical instrument, Manipulator, Mechanism and Human–computer interaction.
Russell H. Taylor interconnects Biomedical engineering and Plan in the investigation of issues within Surgery.
His most cited work include:
- Image-directed robotic system for precise robotic surgery including redundant consistency checking (1177 citations)
- Medical robotics in computer-integrated surgery (860 citations)
- System and method for augmentation of endoscopic surgery (821 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Robot, Simulation and Biomedical engineering.
His work is connected to Robotics, Visualization, Segmentation, Image and Image processing, as a part of Artificial intelligence.
Russell H. Taylor has included themes like Imaging phantom and Ultrasound in his Computer vision study.
His work carried out in the field of Robot brings together such families of science as Control engineering, Task and Surgery.
He most often published in these fields:
- Artificial intelligence (39.19%)
- Computer vision (31.95%)
- Robot (21.48%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (39.19%)
- Computer vision (31.95%)
- Robot (21.48%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Computer vision, Robot, Image formation and 3D reconstruction are his primary areas of study.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.
His research integrates issues of Imaging phantom, Focus and Transformer in his study of Computer vision.
His studies deal with areas such as Physical medicine and rehabilitation and Human–computer interaction as well as Robot.
His Image formation study also includes
- Computed tomography most often made with reference to Tomographic reconstruction,
- Noise and related Cone beam ct.
Russell H. Taylor focuses mostly in the field of Workspace, narrowing it down to matters related to Simulation and, in some cases, Robotic systems.
Between 2018 and 2021, his most popular works were:
- Combating COVID-19-The role of robotics in managing public health and infectious diseases. (138 citations)
- Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. (24 citations)
- Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Radiology
Russell H. Taylor mainly investigates Artificial intelligence, Computer vision, Robot, Convolutional neural network and Radiation therapy.
His Artificial intelligence study deals with Machine learning intersecting with PfSPZ vaccine.
Russell H. Taylor incorporates Computer vision and Code in his studies.
His Robot study combines topics in areas such as Physical medicine and rehabilitation, Sclera and Patient safety.
His research in Radiation therapy intersects with topics in Transformation geometry, Geometric transformation, Dosimetry and Receiver operating characteristic.
The study incorporates disciplines such as Control engineering, Robot control, Workspace, Microsurgery and Haptic technology in addition to Teleoperation.
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