World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8557
World Ranking
6852
National Ranking
147

Overview

Pierre Jannin is affiliated with the University of Rennes in France. Their research spans medicine with a focus on several subfields including surgery, neurology, radiology, nuclear medicine and imaging, health informatics, and artificial intelligence. The range of topics covered in their work includes surgical simulation and training, artificial intelligence in healthcare and education, neurological disorders and treatments, cardiac, anesthesia and surgical outcomes, Parkinson's disease mechanisms and treatments, radiomics and machine learning in medical imaging, and simulation-based education in healthcare.

The scientist has published extensively in various academic venues. Frequent publication outlets include the International Journal of Computer Assisted Radiology and Surgery, arXiv (Cornell University), Surgical Endoscopy, Orthopaedics & Traumatology Surgery & Research, and the European Journal of Obstetrics & Gynecology and Reproductive Biology.

Notable recent papers authored or co-authored by Pierre Jannin include:

  • "Metrics reloaded: recommendations for image analysis validation," 2024, Nature Methods
  • "Understanding metric-related pitfalls in image analysis validation," 2024, Nature Methods
  • "Common Limitations of Image Processing Metrics: A Picture Story," 2021, arXiv (Cornell University)
  • "A Delphi consensus statement for digital surgery," 2022, npj Digital Medicine
  • "Ethical implications of AI in robotic surgical training: A Delphi consensus statement," 2021, European Urology Focus

Frequent co-authors collaborating with Pierre Jannin include Arnaud Huaulmé, John S. H. Baxter, Lena Maier-Hein, Matthias Eisenmann, and Annika Reinke.

Best Publications

  • Surgical data science for next-generation interventions.

    Lena Maier-Hein;Swaroop S. Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • Why rankings of biomedical image analysis competitions should be interpreted with care

    Lena Maier-Hein;Matthias Eisenmann;Annika Reinke;Sinan Onogur

  • Surgical Data Science - from Concepts toward Clinical Translation

    Lena Maier-Hein;Lena Maier-Hein;Matthias Eisenmann;Duygu Sarikaya;Duygu Sarikaya;Keno März

  • Surgical process modelling: a review

    Florent Lalys;Florent Lalys;Florent Lalys;Pierre Jannin;Pierre Jannin

  • Virtual Reality Simulation in Nontechnical Skills Training for Healthcare Professionals: A Systematic Review.

    Marie-Stéphanie Bracq;Estelle Michinov;Pierre Jannin

  • Vision-based and marker-less surgical tool detection and tracking: a review of the literature

    David Bouget;Max Allan;Danail Stoyanov;Pierre Jannin

  • Validation of medical image processing in image-guided therapy

    P. Jannin;J.M. Fitzpatrick;D.J. Hawkes;X. Pennec

  • Surgical data science: Enabling next-generation surgery

    Lena Maier-Hein;S. Swaroop Vedula;Stefanie Speidel;Nassir Navab;Nassir Navab

  • The state of the art of visualization in mixed reality image guided surgery.

    Marta Kersten-Oertel;Pierre Jannin;D. Louis Collins

  • Validation of knowledge acquisition for surgical process models.

    Thomas Neumuth;Pierre Jannin;Pierre Jannin;Pierre Jannin;Gero Strauss;Juergen Meixensberger

  • Automatic data-driven real-time segmentation and recognition of surgical workflow.

    Olga Dergachyova;David Bouget;David Bouget;Arnaud Huaulmé;Arnaud Huaulmé;Arnaud Huaulmé;Xavier Morandi;Xavier Morandi

  • A Framework for the Recognition of High-Level Surgical Tasks From Video Images for Cataract Surgeries

    F. Lalys;L. Riffaud;D. Bouget;P. Jannin

  • Comparative validation of single-shot optical techniques for laparoscopic 3-D surface reconstruction.

    L. Maier-Hein;A. Groch;A. Bartoli;S. Bodenstedt

  • Detecting Surgical Tools by Modelling Local Appearance and Global Shape

    David Bouget;Rodrigo Benenson;Mohamed Omran;Laurent Riffaud

  • Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training

    Fabien Despinoy;David Bouget;Germain Forestier;Cedric Penet

  • BIAS: Transparent reporting of biomedical image analysis challenges.

    Lena Maier-Hein;Annika Reinke;Michal Kozubek;Anne L. Martel

  • Surgical models for computer-assisted neurosurgery.

    Pierre Jannin;Xavier Morandi

  • Integration of sulcal and functional information for multimodal neuronavigation.

    Pierre Jannin;Xavier Morandi;Oliver J. Fleig;Elisabeth Le Rumeur

  • Analysis of surgical intervention populations using generic surgical process models.

    Thomas Neumuth;Pierre Jannin;Pierre Jannin;Juliane Schlomberg;Jürgen Meixensberger

  • Learning procedural skills with a virtual reality simulator: An acceptability study.

    Marie-Stéphanie Bracq;Estelle Michinov;Bruno Arnaldi;Benoît Caillaud

  • DVV: A Taxonomy for Mixed Reality Visualization in Image Guided Surgery

    M. Kersten-Oertel;P. Jannin;D. L. Collins

  • Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

    Maxime Descoteaux;Lena Maier-Hein;Alfred Franz;Pierre Jannin

Frequent Co-Authors

Lena Maier-Hein
Lena Maier-Hein German Cancer Research Center
Nassir Navab
Nassir Navab Technical University of Munich
Christophe Grova
Christophe Grova Concordia University
Danail Stoyanov
Danail Stoyanov University College London
Stefanie Speidel
Stefanie Speidel National Center for Tumor Diseases
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Marc Vérin
Marc Vérin University of Orléans
Bennett A. Landman
Bennett A. Landman Vanderbilt University
Habib Benali
Habib Benali Concordia University
Tal Arbel
Tal Arbel McGill University

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