What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Magnetic resonance imaging
- Computer vision
Maxim Zaitsev mostly deals with Computer vision, Artificial intelligence, Magnetic resonance imaging, Nuclear medicine and Motion.
His Tracking system, Image processing and Motion capture study in the realm of Computer vision connects with subjects such as Context and Electromagnetic field.
His studies deal with areas such as Signal and Curvilinear coordinates as well as Artificial intelligence.
Maxim Zaitsev has included themes like Tracking, Pathological, Neuroimaging and Anatomy in his Magnetic resonance imaging study.
His Nuclear medicine research is multidisciplinary, incorporating elements of Image quality, Visualization, Rendering and Velocity mapping.
Maxim Zaitsev combines subjects such as Motion artifacts, Prospective motion correction and Magnetosphere particle motion with his study of Motion.
His most cited work include:
- Time-resolved 3D MR velocity mapping at 3T: Improved navigator-gated assessment of vascular anatomy and blood flow (327 citations)
- Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. (324 citations)
- Point spread function mapping with parallel imaging techniques and high acceleration factors: fast, robust, and flexible method for echo-planar imaging distortion correction. (310 citations)
What are the main themes of his work throughout his whole career to date?
Maxim Zaitsev spends much of his time researching Artificial intelligence, Computer vision, Magnetic resonance imaging, Nuclear magnetic resonance and Imaging phantom.
Artificial intelligence and Data acquisition are frequently intertwined in his study.
His Computer vision study combines topics from a wide range of disciplines, such as Phase, Robustness and Encoding.
His Magnetic resonance imaging research integrates issues from Tracking, Anatomy, Neuroimaging and Motion artifacts.
His work focuses on many connections between Imaging phantom and other disciplines, such as Voxel, that overlap with his field of interest in Excitation.
His work carried out in the field of Image quality brings together such families of science as Image processing and Match moving.
He most often published in these fields:
- Artificial intelligence (41.43%)
- Computer vision (41.43%)
- Magnetic resonance imaging (20.95%)
What were the highlights of his more recent work (between 2017-2021)?
- Electromagnetic coil (13.33%)
- Algorithm (17.14%)
- Acoustics (9.52%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Electromagnetic coil, Algorithm, Acoustics, Multi coil and Shim.
His Algorithm research is multidisciplinary, incorporating perspectives in Image quality, Phase, Imaging phantom, Signal and Iterative reconstruction.
His Image quality research incorporates elements of Echo, Tracking, Match moving, Dropout and Artifact.
His study in Imaging phantom is interdisciplinary in nature, drawing from both Motion, Nyquist–Shannon sampling theorem, Oversampling and Rotation.
His study looks at the relationship between Acoustics and topics such as Shielded cable, which overlap with Optics.
His work deals with themes such as Magnetic resonance imaging, Harmonic analysis and Mathematical optimization, which intersect with Topology.
Between 2017 and 2021, his most popular works were:
- Development and implementation of an 84-channel matrix gradient coil (20 citations)
- Pulseq-Graphical Programming Interface: Open source visual environment for prototyping pulse sequences and integrated magnetic resonance imaging algorithm development. (11 citations)
- A 32-channel multi-coil setup optimized for human brain shimming at 9.4T. (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Magnetic resonance imaging
- Algorithm
His main research concerns Scanner, Electromagnetic coil, Algorithm, Acoustics and Multi coil.
His Scanner study incorporates themes from Visual programming language, Engineering drawing, Schematic and Signal processing.
His Algorithm study combines topics in areas such as Image quality, Python, Image processing, Undersampling and Parallel imaging.
Maxim Zaitsev has researched Acoustics in several fields, including Encoding, Eddy current and Shielded cable.
His Multi coil research includes elements of Anatomy, Shim, Spherical harmonics and Coil array.
His research integrates issues of Singular value decomposition, Cross-validation, Communication channel and Amplifier in his study of Shim.
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