John Ashburner

What is he best known for?

The fields of study John Ashburner is best known for:

• Statistics
• Functional magnetic resonance imaging
• Magnetic resonance imaging

John Ashburner integrates many fields in his works, including Artificial intelligence and Data science. By researching both Data science and Artificial intelligence, he produces research that crosses academic boundaries. Neuroscience connects with themes related to Temporal cortex in his study. His research combines Statistical parametric mapping and Radiology. He conducts interdisciplinary study in the fields of Statistical parametric mapping and Functional magnetic resonance imaging through his research. Functional magnetic resonance imaging is closely attributed to Radiology in his work. He conducts interdisciplinary study in the fields of Magnetic resonance imaging and Atrophy through his works. John Ashburner performs multidisciplinary study in Atrophy and Magnetic resonance imaging in his work. His study connects Template matching and Image (mathematics).

His most cited work include:

• Spatial registration and normalization of images (3189 citations)
• Multimodal Image Coregistration and Partitioning—A Unified Framework (872 citations)
• A voxel-based morphometry study of semantic dementia: Relationship between temporal lobe atrophy and semantic memory (838 citations)

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

John Ashburner integrates Neuroscience and Functional magnetic resonance imaging in his research. Borrowing concepts from Neuroscience, he weaves in ideas under Functional magnetic resonance imaging. Radiology and Statistical parametric mapping are frequently intertwined in his study. John Ashburner performs multidisciplinary study in the fields of Magnetic resonance imaging and Atrophy via his papers. John Ashburner performs integrative Atrophy and Magnetic resonance imaging research in his work. John Ashburner integrates many fields in his works, including White matter and Grey matter. He combines Grey matter and White matter in his studies. As part of his studies on Voxel, John Ashburner often connects relevant subjects like Computer vision. Computer vision and Spatial normalization are commonly linked in his work.

John Ashburner most often published in these fields:

• Neuroscience (56.25%)
• Radiology (56.25%)
• Magnetic resonance imaging (53.12%)

What were the highlights of his more recent work (between 2008-2015)?

• White matter (66.67%)
• Neuroscience (66.67%)
• Magnetic resonance imaging (66.67%)

In recent works John Ashburner was focusing on the following fields of study:

In his research on the topic of Contracture, Splints and Deformity is strongly related with Surgery. Splints connects with themes related to Orthodontics in his study. His Orthodontics study typically links adjacent topics like Splint (medicine). John Ashburner combines Splint (medicine) and Physical therapy in his studies. His study deals with a combination of Physical therapy and Contracture. John Ashburner performs multidisciplinary study on Deformity and Surgery in his works. Young adult is intertwined with Ageing and Developmental psychology in his study. By researching both Ageing and Young adult, he produces research that crosses academic boundaries. He merges Developmental psychology with Neuroscience in his research.

Between 2008 and 2015, his most popular works were:

• Atrophy progression in semantic dementia with asymmetric temporal involvement: a tensor-based morphometry study. (182 citations)
• Age- and Sex-Related Variations in the Brain White Matter Fractal Dimension Throughout Adulthood: An MRI Study (29 citations)
• Do clients with acquired brain injury use the splints prescribed by occupational therapists? A descriptive study. (6 citations)

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