Camille L. Gerard

According to our database, Camille L. Gerard authored at least 3 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multilingual RECIST classification of radiology reports using supervised learning.

Luc Mottin, Jean-Philippe Goldman, Christoph Jäggli, Rita Achermann, Julien Gobeill, Julien Knafou, Julien Ehrsam, Alexandre Wicky, Camille L. Gerard, Tanja Schwenk, Mélinda Charrier, Petros Tsantoulis, Christian Lovis, Alexander B. Leichtle, Michael Kiessling, Olivier Michielin, Sylvain Pradervand, Vasiliki Foufi, Patrick Ruch

Frontiers Digit. Health, May, 2023

2022

Classification of oncology treatment responses from radiology reports with supervised machine learning.

Luc Mottin, Jean-Philippe Goldman, Christoph Jäggli, Rita Achermann, Julien Gobeill, Julien Knafou, Julien Ehrsam, Alexandre Wicky, Camille L. Gerard, Tanja Schwenk, Mélinda Charrier, Petros Tsantoulis, Christian Lovis, Alexander B. Leichtle, Michael Kiessling, Olivier Michielin, Sylvain Pradervand, Vasiliki Foufi, Patrick Ruch

Proceedings of the AMIA 2022, 2022

2020

A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset.

Erica Tavazzi, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, Michel A. Cuendet

Proceedings of the Process Mining Workshops, 2020