World's Best Scientists 2026 revealed!

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Mathematics

D-Index
52
Citations
12361
World Ranking
951
National Ranking
445

Research.com Recognitions

  • 2021 - Fellow of the American Mathematical Society For contributions to graphical model identification and shape analysis with applications to machine learning, medical imaging and computational anatomy.

Overview

Laurent Younes is affiliated with Johns Hopkins University in the United States. Their research primarily falls under the domain of Biochemistry, Genetics and Molecular Biology, with a focused contribution across 43 publications in this field. The scientist's work extends into several subfields, including Molecular Biology, Biophysics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, and Materials Chemistry.

The main topics explored in their research encompass a range of areas related to medical imaging and molecular studies. These topics include Gene expression and cancer classification, Cell Image Analysis Techniques, Single-cell and spatial transcriptomics, Advanced MRI Techniques and Applications, Medical Image Segmentation Techniques, Advanced Neuroimaging Techniques and Applications, and Functional Brain Connectivity Studies.

Laurent Younes has published in a variety of academic venues, with the most frequent publication platforms being arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), Clinical Nutrition ESPEN, SAS Journal of Medicine, and Molecular Psychiatry. Their publication record includes notable paper titles such as:

  • Entorhinal and Transentorhinal Atrophy in Preclinical Alzheimer's Disease, 2020, Frontiers in Neuroscience
  • Longitudinal changes in brain metabolites in healthy controls and patients with first episode psychosis: a 7-Tesla MRS study, 2023, Molecular Psychiatry
  • Longitudinal imaging highlights preferential basal ganglia circuit atrophy in Huntington's disease, 2023, Brain Communications
  • Longitudinal changes in brain metabolites in healthy subjects and patients with first episode psychosis (FEP): a 7-Tesla MRS study, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Mechanistic Modeling of Longitudinal Shape Changes: Equations of Motion and Inverse Problems, 2022, SIAM Journal on Applied Dynamical Systems

The scientist frequently collaborates with other researchers. Their most common co-authors include Michael I. Miller, Donald Geman, Alain Trouvé, A. Aoun, and Daniel J. Tward.

Laurent Younes was recognized as a Fellow of the American Mathematical Society in 2021. This honor was awarded for contributions to graphical model identification and shape analysis with applications to machine learning, medical imaging, and computational anatomy.

Best Publications

  • Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

    M. Faisal Beg;Michael I. Miller;Alain Trouvé;Laurent Younes

  • On the Metrics and Euler-Lagrange Equations of Computational Anatomy

    Michael I. Miller;Alain Trouvé;Laurent Younes

  • Shapes and Diffeomorphisms

    Laurent Younes

  • Computable elastic distances between shapes

    Laurent Younes

  • Group Actions, Homeomorphisms, and Matching: A General Framework

    M. I. Miller;L. Younes

  • Geodesic Shooting for Computational Anatomy

    Michael I. Miller;Alain Trouvé;Laurent Younes

  • Estimation and annealing for Gibbsian fields

    Laurent Younes

  • Statistics on diffeomorphisms via tangent space representations.

    M. Vaillant;M.I. Miller;L. Younes;A. Trouvé

  • A metric on shape space with explicit geodesics

    Laurent Younes;Peter W. Michor;Jayant M. Shah;David B. Mumford

  • Large Deformation Diffeomorphic Metric Curve Mapping

    Joan Glaunès;Anqi Qiu;Michael I. Miller;Laurent Younes

  • Texture classification using windowed Fourier filters

    R. Azencott;Jia-Ping Wang;L. Younes

  • Ex vivo 3D diffusion tensor imaging and quantification of cardiac laminar structure

    Patrick A. Helm;Hsiang Jer Tseng;Laurent Younes;Elliot R. McVeigh

  • Parametric Inference for imperfectly observed Gibbsian fields

    Laurent Younes

  • Diffeomorphic matching of distributions: a new approach for unlabelled point-sets and sub-manifolds matching

    J. Glaunes;A. Trouve;L. Younes

  • Metamorphoses Through Lie Group Action

    Alain Trouvé;Laurent Younes

  • Evidence of Structural Remodeling in the Dyssynchronous Failing Heart

    Patrick A. Helm;Laurent Younes;Mirza F. Beg;Daniel B. Ennis

  • Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging

    Can Ceritoglu;Kenichi Oishi;Kenichi Oishi;Xin Li;Ming-Chung Chou

  • Computational modeling of cardiac hemodynamics

    Rajat Mittal;Jung Hee Seo;Vijay Vedula;Young J. Choi

  • Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type

    Lei Wang;F. Beg;T. Ratnanather;C. Ceritoglu

  • Large deformation diffeomorphic metric mapping of vector fields

    Yan Cao;M.I. Miller;R.L. Winslow;L. Younes

Frequent Co-Authors

Susumu Mori
Susumu Mori Johns Hopkins University School of Medicine
Marilyn S. Albert
Marilyn S. Albert Johns Hopkins University School of Medicine
Donald Geman
Donald Geman Johns Hopkins University
Anqi Qiu
Anqi Qiu Hong Kong Polytechnic University
Christopher A. Ross
Christopher A. Ross Johns Hopkins University School of Medicine
Peter C.M. van Zijl
Peter C.M. van Zijl Kennedy Krieger Institute
Andreia V. Faria
Andreia V. Faria Johns Hopkins University School of Medicine
Emmanuel Trélat
Emmanuel Trélat Sorbonne University
Jane S. Paulsen
Jane S. Paulsen University of Wisconsin–Madison
Lei Wang
Lei Wang Northwestern University

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