Benjamin M. W. Tsui

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Optics
• Computer vision

His scientific interests lie mostly in Imaging phantom, Iterative reconstruction, Single-photon emission computed tomography, Optics and Nuclear medicine. His biological study spans a wide range of topics, including Torso, Projection, Computer vision, Attenuation and Biomedical engineering. Benjamin M. W. Tsui combines subjects such as Image quality, Iterative method, Algorithm and Image processing with his study of Iterative reconstruction.

His Single-photon emission computed tomography research incorporates themes from Partial volume and Spline. His research investigates the connection between Optics and topics such as Spect imaging that intersect with problems in Pattern recognition. He has included themes like Cardiac imaging and Stem cell in his Nuclear medicine study.

His most cited work include:

• 4D XCAT phantom for multimodality imaging research (690 citations)
• Dynamic Imaging of Allogeneic Mesenchymal Stem Cells Trafficking to Myocardial Infarction (487 citations)
• Development of a 4-D digital mouse phantom for molecular imaging research. (370 citations)

What are the main themes of his work throughout his whole career to date?

Benjamin M. W. Tsui mostly deals with Iterative reconstruction, Imaging phantom, Optics, Nuclear medicine and Single-photon emission computed tomography. His Iterative reconstruction study combines topics from a wide range of disciplines, such as Image quality, Algorithm and Projection. His Imaging phantom research is multidisciplinary, incorporating elements of Image resolution, Biomedical engineering, Collimator, Attenuation and Spect imaging.

As part of his studies on Optics, Benjamin M. W. Tsui often connects relevant areas like Monte Carlo method. His work carried out in the field of Nuclear medicine brings together such families of science as Torso and Perfusion. His Single-photon emission computed tomography research incorporates elements of Medical imaging, Image processing, Medical physics, Emission computed tomography and Receiver operating characteristic.

He most often published in these fields:

• Iterative reconstruction (42.39%)
• Imaging phantom (41.96%)
• Optics (26.52%)

What were the highlights of his more recent work (between 2013-2020)?

• Imaging phantom (41.96%)
• Iterative reconstruction (42.39%)
• Artificial intelligence (24.13%)

In recent papers he was focusing on the following fields of study:

Imaging phantom, Iterative reconstruction, Artificial intelligence, Image quality and Biomedical engineering are his primary areas of study. His Imaging phantom research is multidisciplinary, incorporating perspectives in Motion compensation, Artifact, Motion estimation, Collimator and Monte Carlo method. His Collimator study contributes to a more complete understanding of Optics.

His study in Iterative reconstruction is interdisciplinary in nature, drawing from both Positron emission tomography, Nuclear medicine, Projection, Image noise and Algorithm. The various areas that Benjamin M. W. Tsui examines in his Artificial intelligence study include Noise, Perfusion, Computer vision and Pattern recognition. The study incorporates disciplines such as Preclinical imaging, Radiation dose, Dose reduction, Silicon photomultiplier and Medical physics in addition to Image quality.

Between 2013 and 2020, his most popular works were:

• Imaging, Biodistribution, and Dosimetry of Radionuclide-Labeled PD-L1 Antibody in an Immunocompetent Mouse Model of Breast Cancer (88 citations)
• Non-rigid dual respiratory and cardiac motion correction methods after, during, and before image reconstruction for 4D cardiac PET. (32 citations)
• Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering—A Topical Review (24 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Optics
• Internal medicine

Benjamin M. W. Tsui mainly focuses on Iterative reconstruction, Image quality, Imaging phantom, Nuclear medicine and Artificial intelligence. His studies in Iterative reconstruction integrate themes in fields like Image processing, Motion estimation, Algorithm, Noise and Positron emission tomography. His Image quality study combines topics in areas such as Clinical trial, Collimator, Optics, Scanner and Medical physics.

His Imaging phantom research focuses on subjects like Monte Carlo method, which are linked to Spect imaging. His Nuclear medicine study integrates concerns from other disciplines, such as Mri guided, Motion correction, Dose reduction and Biomedical engineering. The Artificial intelligence study combines topics in areas such as Perfusion and Computer vision.