What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
His main research concerns Neuroscience, Diffusion MRI, Brain mapping, Tractography and Prefrontal cortex.
His Neuroscience study frequently links to related topics such as Anatomy.
His studies in Diffusion MRI integrate themes in fields like White matter, Amphetamine, Neuroimaging and Raclopride.
His Brain mapping study integrates concerns from other disciplines, such as Positron emission tomography, Dopamine receptor, Dopamine and Thalamus.
His Tractography research focuses on Artificial intelligence and how it relates to Pattern recognition.
His biological study spans a wide range of topics, including Voxel, Computer vision, Diffusion tensor tractography and Randomized algorithm.
His most cited work include:
- Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (2512 citations)
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (676 citations)
- Task-free MRI predicts individual differences in brain activity during task performance (428 citations)
What are the main themes of his work throughout his whole career to date?
Neuroscience, Diffusion MRI, Tractography, White matter and Artificial intelligence are his primary areas of study.
In his research on the topic of Neuroscience, Prefrontal cortex is strongly related with Anatomy.
His Diffusion MRI research is multidisciplinary, incorporating elements of Orientation, Voxel, Connectome and Human Connectome Project.
His study in Tractography focuses on Diffusion Tractography in particular.
His study explores the link between White matter and topics such as Neuroimaging that cross with problems in Biobank.
He interconnects Resting state fMRI, Machine learning, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
He most often published in these fields:
- Neuroscience (43.58%)
- Diffusion MRI (31.28%)
- Tractography (21.79%)
What were the highlights of his more recent work (between 2019-2021)?
- White matter (20.67%)
- Tractography (21.79%)
- Neuroscience (43.58%)
In recent papers he was focusing on the following fields of study:
His main research concerns White matter, Tractography, Neuroscience, Diffusion MRI and Human Connectome Project.
His work deals with themes such as Ventral striatum, Connectome, Human brain and Macaque, which intersect with Tractography.
His studies in Connectome integrate themes in fields like Artificial intelligence and Pattern recognition.
His Pattern recognition study combines topics in areas such as Neuroimaging, Resting state fMRI and Diffusion Tractography.
Saad Jbabdi frequently studies issues relating to Pain management and Neuroscience.
Saad Jbabdi combines subjects such as Orientation and Flip angle with his study of Diffusion MRI.
Between 2019 and 2021, his most popular works were:
- XTRACT - Standardised protocols for automated tractography in the human and macaque brain. (25 citations)
- Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing. (20 citations)
- Circuits, Networks, and Neuropsychiatric Disease: Transitioning From Anatomy to Imaging. (16 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Cerebral cortex
His primary scientific interests are in Tractography, Macaque, White matter, Human brain and Temporal lobe.
His Tractography study is related to the wider topic of Diffusion MRI.
His Diffusion MRI study combines topics from a wide range of disciplines, such as Pulse sequence, Channel, Artificial intelligence, Resting state fMRI and Parallel imaging.
His Human brain research is multidisciplinary, incorporating perspectives in Anterior cingulate cortex, Prefrontal cortex and Anatomy.
His work in Arcuate fasciculus covers topics such as Neuroscience which are related to areas like Superior longitudinal fasciculus.
The study incorporates disciplines such as Segmentation, Pattern recognition, Neuroanatomy, Cortical surface and Computational biology in addition to Human Connectome Project.
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