World's Best Scientists 2026 revealed!
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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
81
Citations
34016
World Ranking
997
National Ranking
25

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Jean-Philippe Thiran is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans medicine with a particular focus on radiology, nuclear medicine, and imaging. Within these fields, they have concentrated on specialized subfields including artificial intelligence, computer vision and pattern recognition, biomedical engineering, and cognitive neuroscience.

Their work covers a range of topics related to neuroimaging and medical imaging technologies. Key areas include advanced neuroimaging techniques and applications, advanced MRI techniques and applications, AI in cancer detection, functional brain connectivity studies, ultrasound imaging and elastography, radiomics and machine learning in medical imaging, and MRI in cancer diagnosis.

Several recent papers by Jean-Philippe Thiran illustrate their research focus:

  • Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?, 2021, NeuroImage
  • Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE, 2020, NeuroImage Clinical
  • A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information, 2020, Science Advances
  • Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship, 2020, Proceedings of the National Academy of Sciences
  • Probing myelin content of the human brain with MRI: A review, 2020, Magnetic Resonance in Medicine

Jean-Philippe Thiran frequently collaborates with a number of scientists, demonstrating ongoing interdisciplinary contributions. Their frequent coauthors include Tobias Kober, Erick J. Canales-Rodríguez, Gabriel Girard, Tom Hilbert, and Behzad Bozorgtabar, each contributing to multiple publications.

Their work has been published extensively in various venues, notably:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Magnetic Resonance in Medicine

Best Publications

  • Predicting human resting-state functional connectivity from structural connectivity

    Ch. Honey;O. Sporns;Leila Cammoun;Xavier Gigandet

  • The challenge of mapping the human connectome based on diffusion tractography

    Klaus H. Maier-Hein;Peter F. Neher;Jean-Christophe Houde;Marc-Alexandre Cote

  • Fast Global Minimization of the Active Contour/Snake Model

    Xavier Bresson;Selim Esedoglu;Pierre Vandergheynst;Jean-Philippe Thiran

  • Understanding Diffusion MR Imaging Techniques: From Scalar Diffusion-weighted Imaging to Diffusion Tensor Imaging and Beyond

    Patric Hagmann;Lisa Jonasson;Philippe Maeder;Jean-Philippe Thiran

  • Mapping human whole-brain structural networks with diffusion MRI.

    Patric Hagmann;Patric Hagmann;Maciej Kurant;Xavier Gigandet;Patrick Thiran

  • White matter maturation reshapes structural connectivity in the late developing human brain

    P. Hagmann;O. Sporns;N. Madan;L. Cammoun

  • Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients.

    Max Wintermark;Marc Reichhart;Jean-Philippe Thiran;Philippe Maeder

  • Resting-brain functional connectivity predicted by analytic measures of network communication

    Joaquin Goni;Martijn P. Van Den Heuvel;Andrea Avena-Koenigsberger;Nieves Velez De Mendizabal

  • Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data

    Alessandro Daducci;Erick Jorge Canales-Rodriguez;Hui Zhang;Tim B. Dyrby

  • The BANCA database and evaluation protocol

    Enrique Bailly-Bailliére;Samy Bengio;Frédéric Bimbot;Miroslav Hamouz

  • A Surface-Based Approach to Quantify Local Cortical Gyrification

    M. Schaer;M.B. Cuadra;L. Tamarit;F. Lazeyras

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI.

    Leila Cammoun;Xavier Gigandet;Djalel Eddine Meskaldji;Jean-Philippe Thiran

  • Distinct pathways involved in sound recognition and localization: A human fMRI study

    Philippe P. Maeder;Reto A. Meuli;Michela Adriani;Anne Bellmann;Anne Bellmann

  • Simultaneous measurement of regional cerebral blood flow by perfusion CT and stable xenon CT: a validation study.

    Max Wintermark;Jean-Philippe Thiran;Philippe Maeder;Pierre Schnyder

  • DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection.

    Patric Hagmann;Jean-Philippe Thiran;Lisa Jonasson;Pierre Vandergheynst

  • Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images

    M.B. Cuadra;L. Cammoun;T. Butz;O. Cuisenaire

  • Comparison of Admission Perfusion Computed Tomography and Qualitative Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging in Acute Stroke Patients

    M. Wintermark;M. Reichhart;O. Cuisenaire;P. Maeder

  • Structural connectomics in brain diseases.

    Alessandra Griffa;Philipp S. Baumann;Jean-Philippe Thiran;Jean-Philippe Thiran;Patric Hagmann;Patric Hagmann

  • Quantitative Assessment of Regional Cerebral Blood Flows by Perfusion CT Studies at Low Injection Rates: A Critical Review of the Underlying Theoretical Models

    M. Wintermark;P. Maeder;J.-P. Thiran;P. Schnyder

  • Generative models of the human connectome

    Richard F. Betzel;Andrea Avena-Koenigsberger;Joaquín Goñi;Ye He

  • MR connectomics: Principles and challenges

    Patric Hagmann;Patric Hagmann;Patric Hagmann;Leila Cammoun;Xavier Gigandet;Stephan Gerhard

  • The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

    Alessandro Daducci;Stephan Gerhard;Alessandra Griffa;Alessandra Griffa;Alia Lemkaddem

  • Atlas-based segmentation of pathological MR brain images using a model of lesion growth

    M.B. Cuadra;C. Pollo;A. Bardera;O. Cuisenaire

  • Mapping the human connectome at multiple scales with diffusion spectrum MRI

    L. Cammoun;X. Gigandet;O. Sporns;J.P. Thiran

Frequent Co-Authors

Patric Hagmann
Patric Hagmann University of Lausanne
Yves Wiaux
Yves Wiaux Heriot-Watt University
Dimitri Van De Ville
Dimitri Van De Ville École Polytechnique Fédérale de Lausanne
Xavier Bresson
Xavier Bresson National University of Singapore
Philippe Maeder
Philippe Maeder University of Lausanne
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Stephanie Clarke
Stephanie Clarke University Hospital of Lausanne
Hazim Kemal Ekenel
Hazim Kemal Ekenel Istanbul Technical University
Maxime Descoteaux
Maxime Descoteaux Université de Sherbrooke
Marie Schaer
Marie Schaer University of Geneva

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