Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding. - Alban Bornet; Jacques Kaiser; Alexander Kroner; Egidio Falotico; Alessandro Ambrosano; Kepa Cantero; Michael H. Herzog; Gregory Francis (Frontiers Neurorobotics, 2019)

Beyond Bouma's window: How to explain global aspects of crowding? - Adrien Doerig; Alban Bornet; Ruth Rosenholtz; Gregory Francis; Aaron Michael Clarke; Michael H. Herzog (PLoS Comput. Biol., 2019)

Shrinking Bouma's window: How to model crowding in dense displays. - Alban Bornet; Adrien Doerig; Michael H. Herzog; Gregory Francis; Erik Van der Burg (PLoS Comput. Biol., 2021)

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)

ProcNet: Deep Predictive Coding Model for Robust-to-occlusion Visual Segmentation and Pose Estimation. - Michael Zechmair; Alban Bornet; Yannick Morel (CoRR, 2023)

Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. - Fernando Jaume-Santero; Alban Bornet; Alain Valery; Nona Naderi; David Vicente Alvarez; Dimitrios Proios; Anthony Yazdani; Colin Bournez; Thomas Fessard; Douglas Teodoro (J. Chem. Inf. Model., 2023)

CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results. - Anthony Yazdani; Alban Bornet; Boya Zhang; Philipp Khlebnikov; Poorya Amini; Douglas Teodoro (CoRR, 2024)

STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks. - Damien Geissbuhler; Alban Bornet; Catarina Marques; André Anjos; Sónia Pereira; Douglas Teodoro (AIME (1), 2025)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues; Douglas Teodoro (CBMS, 2025)

Comparing neural language models for medical concept representation and patient trajectory prediction. - Alban Bornet; Dimitrios Proios; Anthony Yazdani; Fernando Jaume-Santero; Guy Haller; Edward Choi; Douglas Teodoro (Artif. Intell. Medicine, 2025)

Analysis of eligibility criteria clusters based on large language models for clinical trial design. - Alban Bornet; Philipp Khlebnikov; Florian Meer; Quentin Haas; Anthony Yazdani; Boya Zhang; Poorya Amini; Douglas Teodoro (J. Am. Medical Informatics Assoc., 2025)

A scoping review of artificial intelligence applications in clinical trial risk assessment. - Douglas Teodoro; Nona Naderi; Anthony Yazdani; Boya Zhang; Alban Bornet (npj Digit. Medicine, 2025)

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts. - Dimitrios Proios; Alban Bornet; Anthony Yazdani; Jose F. Rodrigues Jr.; Douglas Teodoro (CoRR, 2025)