Pierre Jannin
Affiliations: | University of Rennes |
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Publications
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| Maier-Hein L, Reinke A, Kozubek M, et al. (2020) BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Analysis. 66: 101796 |
| Lecuyer G, Ragot M, Martin N, et al. (2020) Assisted phase and step annotation for surgical videos. International Journal of Computer Assisted Radiology and Surgery |
| Derathé A, Reche F, Moreau-Gaudry A, et al. (2019) Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos. International Journal of Computer Assisted Radiology and Surgery |
| Bracq MS, Michinov E, Arnaldi B, et al. (2019) Learning procedural skills with a virtual reality simulator: An acceptability study. Nurse Education Today. 79: 153-160 |
| Okamoto T, Ohnishi T, Kawahira H, et al. (2019) Real-time identification of blood regions for hemostasis support in laparoscopic surgery Signal, Image and Video Processing. 13: 405-412 |
| Maier-Hein L, Eisenmann M, Reinke A, et al. (2018) Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications. 9: 5217 |
| Henaux PL, Michinov E, Rochat J, et al. (2018) Relationships Between Expertise, Crew Familiarity and Surgical Workflow Disruptions: An Observational Study. World Journal of Surgery |
| Gibaud B, Forestier G, Feldmann C, et al. (2018) Toward a standard ontology of surgical process models. International Journal of Computer Assisted Radiology and Surgery |
| Forestier G, Riffaud L, Petitjean F, et al. (2018) Surgical skills: Can learning curves be computed from recordings of surgical activities? International Journal of Computer Assisted Radiology and Surgery |
| Forestier G, Petitjean F, Senin P, et al. (2017) Finding discriminative and interpretable patterns in sequences of surgical activities. Artificial Intelligence in Medicine. 82: 11-19 |