What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Magnetic resonance imaging
- Statistics
His main research concerns Artificial intelligence, Neuroscience, Cerebral cortex, Magnetic resonance imaging and Computer vision.
His Artificial intelligence research incorporates themes from Neuroimaging, Atlas, Cortical surface and Pattern recognition.
His research integrates issues of Brain mapping, Anatomy, Atrophy, Pathology and Cortex in his study of Cerebral cortex.
Bruce Fischl combines subjects such as Alzheimer's Disease Neuroimaging Initiative, Segmentation, Precuneus and Human Connectome Project with his study of Magnetic resonance imaging.
His work on Image processing and Image registration as part of general Computer vision research is frequently linked to Distortion, thereby connecting diverse disciplines of science.
His Image processing research includes themes of Gyrification and DUAL.
His most cited work include:
- Cortical surface-based analysis. I. Segmentation and surface reconstruction (7247 citations)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. (6385 citations)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. (6385 citations)
What are the main themes of his work throughout his whole career to date?
Bruce Fischl mainly focuses on Neuroscience, Artificial intelligence, Magnetic resonance imaging, Computer vision and Cerebral cortex.
His studies examine the connections between Neuroscience and genetics, as well as such issues in White matter, with regards to Diffusion MRI.
His studies in Artificial intelligence integrate themes in fields like Atlas and Pattern recognition.
His work in Magnetic resonance imaging tackles topics such as Pathology which are related to areas like Internal medicine.
The Cerebral cortex study combines topics in areas such as Cortical surface and Anatomy.
His research investigates the link between Human brain and topics such as Optical coherence tomography that cross with problems in Biomedical engineering.
He most often published in these fields:
- Neuroscience (48.94%)
- Artificial intelligence (41.84%)
- Magnetic resonance imaging (39.36%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (41.84%)
- Neuroimaging (21.63%)
- Magnetic resonance imaging (39.36%)
In recent papers he was focusing on the following fields of study:
Bruce Fischl focuses on Artificial intelligence, Neuroimaging, Magnetic resonance imaging, Pattern recognition and Segmentation.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Atlas.
His Computer vision research includes elements of Function and Biomedical engineering.
His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Image processing and Hippocampal formation, Neuroscience.
The concepts of his Neuroscience study are interwoven with issues in Diffusion MRI and Dementia.
Bruce Fischl works mostly in the field of Pattern recognition, limiting it down to concerns involving Tree and, occasionally, Surface.
Between 2016 and 2021, his most popular works were:
- Studying neuroanatomy using MRI (119 citations)
- Studying neuroanatomy using MRI (119 citations)
- High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas. (101 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Magnetic resonance imaging
The scientist’s investigation covers issues in Artificial intelligence, Neuroimaging, Pattern recognition, Neuroscience and Magnetic resonance imaging.
Artificial intelligence is closely attributed to Computer vision in his study.
Bruce Fischl has researched Computer vision in several fields, including Brain morphometry and Translation.
The various areas that Bruce Fischl examines in his Neuroimaging study include Human brain, White matter, Segmentation and Biomedical engineering.
The study incorporates disciplines such as Normalization, Coordinate system, Tree, Human Connectome Project and Nonlinear system in addition to Pattern recognition.
His Magnetic resonance imaging study integrates concerns from other disciplines, such as Image processing, Dementia, Hippocampal formation and Scanner.
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