H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 66 Citations 22,653 227 World Ranking 1052 National Ranking 41
Medicine H-index 70 Citations 24,271 269 World Ranking 15341 National Ranking 643


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Magnetic resonance imaging
  • Internal medicine

D. Louis Collins spends much of his time researching Artificial intelligence, Magnetic resonance imaging, Computer vision, Segmentation and Pattern recognition. His work carried out in the field of Artificial intelligence brings together such families of science as Transformation and Atlas. His biological study spans a wide range of topics, including Nuclear medicine, Pathology, Neuroimaging, Neuroscience and Temporal lobe.

The concepts of his Computer vision study are interwoven with issues in Imaging phantom and Affine transformation. His Segmentation study combines topics from a wide range of disciplines, such as Hippocampus and Identification. His Pattern recognition study integrates concerns from other disciplines, such as Spatial normalization, Voxel, Brain mapping and Contrast.

His most cited work include:

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) (1985 citations)
  • Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. (1732 citations)
  • Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study (1117 citations)

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

His primary scientific interests are in Artificial intelligence, Pattern recognition, Magnetic resonance imaging, Computer vision and Segmentation. Many of his studies involve connections with topics such as Imaging phantom and Artificial intelligence. His research integrates issues of Hyperintensity and Atlas in his study of Pattern recognition.

His Magnetic resonance imaging study incorporates themes from Nuclear medicine, Pathology, Neuroimaging, Neuroscience and Multiple sclerosis. In his research, Grey matter is intimately related to Atrophy, which falls under the overarching field of Neuroscience. His Segmentation study focuses on Scale-space segmentation in particular.

He most often published in these fields:

  • Artificial intelligence (42.76%)
  • Pattern recognition (25.39%)
  • Magnetic resonance imaging (23.61%)

What were the highlights of his more recent work (between 2018-2021)?

  • Cognition (12.47%)
  • Internal medicine (8.91%)
  • Hyperintensity (8.24%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Cognition, Internal medicine, Hyperintensity, Disease and Neuroimaging. The various areas that D. Louis Collins examines in his Cognition study include Audiology, Cohort and Cognitive decline. D. Louis Collins has researched Hyperintensity in several fields, including White matter, Irritability and Kappa.

His studies in Neuroimaging integrate themes in fields like Cartography, Insula and Magnetic resonance imaging. The concepts of his Magnetic resonance imaging study are interwoven with issues in Segmentation, Artificial intelligence, Pattern recognition, Imaging phantom and Atlas. His Artificial intelligence study frequently links to other fields, such as Positron emission tomography.

Between 2018 and 2021, his most popular works were:

  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge (80 citations)
  • Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge (51 citations)
  • Neuroanatomical differences in obesity: meta-analytic findings and their validation in an independent dataset. (47 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Internal medicine
  • Statistics

His scientific interests lie mostly in Cognition, Disease, Internal medicine, Cohort and Neuroimaging. D. Louis Collins combines subjects such as Brain development and Dementia, Cognitive decline with his study of Cognition. His Neuroimaging research is multidisciplinary, incorporating elements of Prefrontal cortex, Magnetic resonance imaging, Human Connectome Project, Voxel and Waist.

D. Louis Collins interconnects Imaging phantom and Resting state fMRI in the investigation of issues within Magnetic resonance imaging. His Hyperintensity research includes themes of Segmentation, Test set, Artificial intelligence, Pattern recognition and Ranking. His Artificial intelligence research incorporates themes from Diagnostic biomarker and Atlas.

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.

Top Publications

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner.
NeuroImage (2009)

2024 Citations

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer.
IEEE Transactions on Medical Imaging (2015)

1848 Citations

Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study

Tomáš Paus;Alex Zijdenbos;Keith Worsley;D. Louis Collins.
Science (1999)

1637 Citations

Unbiased Average Age-Appropriate Atlases for Pediatric Studies

Vladimir S. Fonov;Alan C. Evans;Kelly N. Botteron;C. Robert Almli.
NeuroImage (2011)

1300 Citations

Automatic 3‐D model‐based neuroanatomical segmentation

D. Louis Collins;C. J. Holmes;T. M. Peters;A. C. Evans.
Human Brain Mapping (1995)

1144 Citations

Adaptive non‐local means denoising of MR images with spatially varying noise levels

José V. Manjón;Pierrick Coupé;Luis Martí-Bonmatí;D. Louis Collins.
Journal of Magnetic Resonance Imaging (2010)

732 Citations

Patch-based segmentation using expert priors: application to hippocampus and ventricle segmentation.

Pierrick Coupé;José V. Manjón;Vladimir S. Fonov;Jens C. Pruessner.
NeuroImage (2011)

726 Citations

Early brain development in infants at high risk for autism spectrum disorder

Heather Cody Hazlett;Hongbin Gu;Brent C. Munsell;Sun Hyung Kim.
Nature (2017)

598 Citations

Focal gray matter density changes in schizophrenia.

Hilleke E. Hulshoff Pol;Hugo G. Schnack;René C. W. Mandl;Neeltje E. M. van Haren.
Archives of General Psychiatry (2001)

450 Citations

Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults

Günther Grabner;Andrew L. Janke;Marc M. Budge;David Smith.
medical image computing and computer assisted intervention (2006)

412 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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