What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Mathematical analysis
Geodesic, Large deformation diffeomorphic metric mapping, Mathematical analysis, Diffeomorphism and Computational anatomy are his primary areas of study.
He has researched Geodesic in several fields, including Space, Image processing and Gradient descent.
His research in Large deformation diffeomorphic metric mapping intersects with topics in White matter, Normalization, Transformation algorithm, Multi contrast and Voxel.
His Mathematical analysis research is multidisciplinary, incorporating elements of Flow, Geometry, Topology and Image registration.
His Diffeomorphism research includes elements of Euler equations, Spline, Algebra, Vector field and Shape analysis.
His research integrates issues of Failing heart, Group and Ventricular remodeling in his study of Computational anatomy.
His most cited work include:
- Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms (1096 citations)
- On the Metrics and Euler-Lagrange Equations of Computational Anatomy (384 citations)
- Group Actions, Homeomorphisms, and Matching: A General Framework (318 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Diffeomorphism, Large deformation diffeomorphic metric mapping, Geodesic and Mathematical analysis.
His Artificial intelligence study incorporates themes from Algorithm, Computer vision and Pattern recognition.
His Diffeomorphism research includes themes of Image registration, Vector field and Shape analysis.
Laurent Younes combines subjects such as Voxel and Metric with his study of Large deformation diffeomorphic metric mapping.
His Geodesic study deals with Computational anatomy intersecting with Flow.
Laurent Younes interconnects Geometry and Optimal matching in the investigation of issues within Mathematical analysis.
He most often published in these fields:
- Artificial intelligence (24.40%)
- Diffeomorphism (22.49%)
- Large deformation diffeomorphic metric mapping (16.27%)
What were the highlights of his more recent work (between 2017-2021)?
- Diffeomorphism (22.49%)
- Shape analysis (12.44%)
- Geometry (8.61%)
In recent papers he was focusing on the following fields of study:
Laurent Younes mainly focuses on Diffeomorphism, Shape analysis, Geometry, Pure mathematics and Geodesic.
His Diffeomorphism study integrates concerns from other disciplines, such as Coordinate system, Simple, Invariant, Sobolev space and Vector field.
His Shape analysis research incorporates elements of Computational anatomy, Training set and Theoretical computer science.
Artificial intelligence is closely connected to Pattern recognition in his research, which is encompassed under the umbrella topic of Computational anatomy.
His work deals with themes such as Motion and Metric, which intersect with Pure mathematics.
Laurent Younes has included themes like Unit interval and Algebra in his Geodesic study.
Between 2017 and 2021, his most popular works were:
- Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer's Disease. (23 citations)
- Revisiting the tumorigenesis timeline with a data-driven generative model (18 citations)
- Digitizing omics profiles by divergence from a baseline. (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Mathematical analysis
His main research concerns Diffeomorphism, Shape analysis, Geometry, Amygdala and Atrophy.
His Diffeomorphism study combines topics in areas such as Ribbon, Vector field and Coordinate system.
His studies in Shape analysis integrate themes in fields like Training set, Theoretical computer science, Pure mathematics, Sobolev space and Computational anatomy.
His Computational anatomy research is multidisciplinary, relying on both Large deformation diffeomorphic metric mapping and Optimal control.
His Geometry research integrates issues from Structure, Skeleton and White matter.
The various areas that Laurent Younes examines in his Atrophy study include Entorhinal cortex, Braak staging, Cognitive impairment and Anatomy.
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