Hybrid Approaches for our Participation to the n2c2 Challenge on Cohort Selection for Clinical Trials. - Xavier Tannier; Nicolas Paris; Hugo Cisneros; Christel Daniel; Matthieu Doutreligne; Catherine Duclos; Nicolas Griffon; Claire Hassen-Khodja; Ivan Lerner; Adrien Parrot; Éric Sadou; Cyril Saussol; et al. (CoRR, 2019)

Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts. - Ivan Lerner; Jordan Jouffroy; Anita Burgun; Antoine Neuraz (CoRR, 2020)

Terminologies augmented recurrent neural network model for clinical named entity recognition. - Ivan Lerner; Nicolas Paris; Xavier Tannier (J. Biomed. Informatics, 2020)

Using Deep Learning to Improve Phenotyping from Clinical Reports. - Marc Vincent; Maxime Douillet; Ivan Lerner; Antoine Neuraz; Anita Burgun; Nicolas Garcelon (MedInfo, 2021)

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts. - Antoine Neuraz; Ivan Lerner; Olivier Birot; Camila Arias; Larry Han; Clara-Lea Bonzel; Tianxi Cai; Kim Tâm Huynh; Adrien Coulet (MedInfo, 2023)

Facilitating phenotyping from clinical texts: the medkit library. - Antoine Neuraz; Ghislain Vaillant; Camila Arias; Olivier Birot; Kim Tâm Huynh; Thibaut Fabacher; Alice Rogier; Nicolas Garcelon; Ivan Lerner; Bastien Rance; Adrien Coulet (CoRR, 2024)

Sur la conception et l'apprentissage de structures invariantes dans les modèles de séries temporelles cliniques. (On the design and learning of invariant structures in clinical time series models). - Ivan Lerner (2024)

SIMSAMU - A French medical dispatch dialog open dataset. - Aimé Nun; Olivier Birot; Gaël Guibon; Frédéric Lapostolle; Ivan Lerner (Comput. Methods Programs Biomed., 2025)

Spectral structure learning for clinical time series. - Ivan Lerner; Anita Burgun; Francis Bach 001 (CoRR, 2025)