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; et al. (AMIA, 2022)

Deep SNOMED CT Enabled Large Clinical Database About COVID-19. - Christophe Gaudet-Blavignac; Julien Ehrsam; Hugues Turbé; Daniel Keszthelyi; Jamil Zaghir; Christian Lovis (MIE, 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 (MIE, 2022)

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 (DSAA, 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; et al. (Frontiers Digit. Health, 2023)

Scalar Values in SNOMED CT: A Proposed Extension. - Julien Ehrsam; Christophe Gaudet-Blavignac; Christian Lovis (MIE, 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 (MIE, 2024)

A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. - Yuanyuan Zheng; Adel Bensahla; Mina Bjelogrlic; Jamil Zaghir; Hugues Turbé; Bednarczyk Lydie; Christophe Gaudet-Blavignac; Julien Ehrsam; Stéphane Marchand-Maillet; Christian Lovis (npj Digit. Medicine, 2025)

Semantics in action: a guide for representing clinical data elements with SNOMED CT. - Julien Ehrsam; Christophe Gaudet-Blavignac; Mirjam Mattei; Monika Baumann; Christian Lovis (J. Biomed. Semant., 2025)