What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
Alan Connelly mostly deals with Magnetic resonance imaging, Diffusion MRI, Tractography, Deconvolution and Artificial intelligence.
His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Hippocampal sclerosis, Temporal lobe, Epilepsy, Pathology and Hippocampal formation.
His research on Diffusion MRI frequently links to adjacent areas such as Voxel.
His Tractography research incorporates elements of Segmentation, Biological system, Neuroimaging and Brain White Matter.
His research in Deconvolution intersects with topics in Orientation, Mathematical analysis, Computer simulation and Anisotropy.
His research investigates the connection with Artificial intelligence and areas like Computer vision which intersect with concerns in White matter, Spin echo, Angular resolution, Fiber tractography and Resection.
His most cited work include:
- Differential effects of early hippocampal pathology on episodic and semantic memory. (1381 citations)
- Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution. (1325 citations)
- Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. (1155 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Diffusion MRI, Magnetic resonance imaging, Epilepsy, White matter and Artificial intelligence.
The various areas that Alan Connelly examines in his Diffusion MRI study include Deconvolution, Orientation and Voxel.
His Magnetic resonance imaging research integrates issues from Nuclear medicine, Stroke, Nuclear magnetic resonance and Pathology.
His Epilepsy study which covers Hippocampal formation that intersects with Hippocampus.
His studies deal with areas such as Connectome, Computer vision and Pattern recognition as well as Artificial intelligence.
His work deals with themes such as Algorithm and Neuroimaging, which intersect with Tractography.
He most often published in these fields:
- Diffusion MRI (37.78%)
- Magnetic resonance imaging (25.85%)
- Epilepsy (19.60%)
What were the highlights of his more recent work (between 2016-2021)?
- Diffusion MRI (37.78%)
- White matter (26.42%)
- Artificial intelligence (26.99%)
In recent papers he was focusing on the following fields of study:
Alan Connelly focuses on Diffusion MRI, White matter, Artificial intelligence, Pattern recognition and Tractography.
His Diffusion MRI research includes themes of Hyperintensity, Neuroscience and Anatomy.
His research on White matter concerns the broader Magnetic resonance imaging.
His Magnetic resonance imaging research is multidisciplinary, relying on both Orientation, Visualization and Brainstem.
Alan Connelly interconnects Resting state fMRI, Connectome, Connectomics and Brain mapping in the investigation of issues within Artificial intelligence.
His Tractography research includes elements of Lateralization of brain function, Statistical dispersion, Early childhood and Commissure.
Between 2016 and 2021, his most popular works were:
- MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation (339 citations)
- MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation (339 citations)
- Investigating white matter fibre density and morphology using fixel-based analysis. (189 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Magnetic resonance imaging
- Artificial intelligence
Alan Connelly mainly investigates Diffusion MRI, White matter, Magnetic resonance imaging, Fractional anisotropy and Tractography.
Alan Connelly has researched Diffusion MRI in several fields, including Voxel, Neuroscience, Anatomy and Human Connectome Project.
His White matter research incorporates elements of Temporal lobe, Epilepsy and Anterior commissure.
His Magnetic resonance imaging research includes themes of Orientation, Atrophy and Image processing.
His Fractional anisotropy study integrates concerns from other disciplines, such as Imaging phantom, Measure, Biological system and Spatial analysis.
Within one scientific family, he focuses on topics pertaining to Connectomics under Tractography, and may sometimes address concerns connected to Artificial intelligence.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
