Julien Ehrsam

According to our database, Julien Ehrsam authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

SIMpat: A Synthetic Benchmark for Similarity Metrics on Patient Representations.

Jean-Virgile Voegeli, Mina Bjelogrlic, Christophe Gaudet-Blavignac, Richard Dubos, Myriam Zimmermann, Adel Bensahla Talet, Yuanyuan Zheng, Julien Ehrsam, Christian Lovis

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Scalar Values in SNOMED CT: A Proposed Extension.

Julien Ehrsam, Christophe Gaudet-Blavignac, Christian Lovis

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

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

Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data.

Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Classification of Oncology Treatment Responses from French Radiology Reports with Supervised Machine Learning.

Jean-Philippe Goldman, Luc Mottin, Jamil Zaghir, Daniel Keszthelyi, Belinda Lokaj, Hugues Turbé, Julien Gobeill, Patrick Ruch, Julien Ehrsam, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Deep SNOMED CT Enabled Large Clinical Database About COVID-19.

Christophe Gaudet-Blavignac, Julien Ehrsam, Hugues Turbé, Daniel Keszthelyi, Jamil Zaghir, Christian Lovis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 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