Pierre Jannin

Surgical data science for next-generation interventions

2017 · 507 Zit. · Nature Biomedical Engineering

Metrics reloaded: recommendations for image analysis validation

2024 · 352 Zit. · Nature Methods

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

2018 · 351 Zit. · Nature Communications

Surgical data science – from concepts toward clinical translation

2022 · 313 Zit. · univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg)

Understanding metric-related pitfalls in image analysis validation

2024 · 156 Zit. · Nature Methods

A Delphi consensus statement for digital surgery

2022 · 80 Zit. · npj Digital Medicine

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

2021 · 68 Zit. · European Urology Focus

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Surgical data science – from concepts toward clinical translation

2021 · 39 Zit. · Medical Image Analysis

SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)

2023 · 34 Zit. · Surgical Endoscopy

Automatic matching of surgeries to predict surgeons’ next actions

2017 · 30 Zit. · Artificial Intelligence in Medicine

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Surgical Data Science: A Consensus Perspective

2018 · 10 Zit. · arXiv (Cornell University)

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 9 Zit. · Medical Image Analysis

Validation in the age of machine learning: A framework for describing validation with examples in transcranial magnetic stimulation and deep brain stimulation

2023 · 6 Zit. · Intelligence-Based Medicine