Pierre Jannin
Inserm, Université de Rennes, Hebrew University of Jerusalem
Papers
17
Total Citations
609
H-Index
9
About
Pierre Jannin is a leading figure in computer-assisted interventions, with a research focus that bridges medical imaging, surgical data science, and the ethical integration of artificial intelligence. His major contributions lie in developing objective, data-driven methods to assess and improve surgical technical skills. Jannin pioneered the use of automated performance metrics and machine learning for surgical gesture recognition, as demonstrated in his highly cited work on unsupervised trajectory segmentation for robotic training (115 citations). He has also advanced the field through comprehensive reviews on marker-less surgical tool tracking (274 citations) and automated skill assessment in robot-assisted laparoscopy. Beyond technical innovation, Jannin has been instrumental in shaping the responsible adoption of AI in surgery, leading a Delphi consensus on its ethical implications (70 citations). His work on surgical navigation for skill assessment in partial nephrectomy and his leadership in organizing international challenges (e.g., PEg TRAnsfer Workflow, Endoscopic Vision) have set benchmarks for the community. With over 600 total citations, Jannin’s research is essential reading for anyone interested in the future of surgical training and intelligent operating rooms.
Research Focus
Key Achievements
Top Papers
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- 6Medical Imaging and Augmented Reality21 citations · 2016
- 7Information Processing in Computer-Assisted Interventions15 citations · 2012
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- 10Endoscopic Vision Challenge8 citations · 2020