What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer vision
The scientist’s investigation covers issues in Diffusion MRI, White matter, Artificial intelligence, Tractography and Neuroscience.
The various areas that Carl-Fredrik Westin examines in his Diffusion MRI study include Geometry, Tensor and Nuclear magnetic resonance.
His Tensor study integrates concerns from other disciplines, such as Algorithm and Structure tensor.
His White matter study combines topics in areas such as Psychosis, Anatomy and Pathology.
His Artificial intelligence research includes elements of Fiber, Computer vision and Pattern recognition.
His studies deal with areas such as Query language, Pyramidal tracts, Human brain, Machine learning and Data set as well as Tractography.
His most cited work include:
- Processing and visualization for diffusion tensor MRI. (688 citations)
- A review of diffusion tensor imaging studies in schizophrenia. (664 citations)
- A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury (580 citations)
What are the main themes of his work throughout his whole career to date?
Carl-Fredrik Westin focuses on Diffusion MRI, Artificial intelligence, Computer vision, White matter and Algorithm.
His biological study spans a wide range of topics, including Voxel, Neuroscience and Tensor.
His work in Tensor tackles topics such as Mathematical analysis which are related to areas like Waveform and Geometry.
His study in Pattern recognition extends to Artificial intelligence with its themes.
His work deals with themes such as Corpus callosum, Anatomy and Brain mapping, which intersect with White matter.
His research integrates issues of Mathematical optimization and Encoding in his study of Algorithm.
He most often published in these fields:
- Diffusion MRI (44.69%)
- Artificial intelligence (41.43%)
- Computer vision (23.86%)
What were the highlights of his more recent work (between 2016-2021)?
- Diffusion MRI (44.69%)
- Artificial intelligence (41.43%)
- Waveform (6.94%)
In recent papers he was focusing on the following fields of study:
Carl-Fredrik Westin mainly investigates Diffusion MRI, Artificial intelligence, Waveform, White matter and Tensor.
The concepts of his Diffusion MRI study are interwoven with issues in Orientation, Algorithm and Anisotropic diffusion.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
His Waveform research integrates issues from Mathematical analysis and Encoding.
His research in White matter intersects with topics in Cognition, Neuroscience, Putamen and Pathology.
He usually deals with Tensor and limits it to topics linked to Moment and Residual.
Between 2016 and 2021, his most popular works were:
- The challenge of mapping the human connectome based on diffusion tractography (535 citations)
- Limits to anatomical accuracy of diffusion tractography using modern approaches. (80 citations)
- Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion (77 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Computer vision
Carl-Fredrik Westin mostly deals with Diffusion MRI, Waveform, Magnetic resonance imaging, White matter and Biological system.
His Diffusion MRI research is multidisciplinary, incorporating perspectives in Orientation, Artificial intelligence, Statistical physics and Nuclear medicine.
His Artificial intelligence study incorporates themes from Machine learning and Diffusion Tractography.
The concepts of his Waveform study are interwoven with issues in Mathematical analysis, Encoding, Tensor, Sensitivity and Algorithm.
A large part of his White matter studies is devoted to Tractography.
His study looks at the intersection of Biological system and topics like Laplace transform with Brain mri, High dimensionality and Voxel.
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