Alban Bornet - RankMe

16 papers B 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HealthContradict: Evaluating biomedical knowledge conflicts in language models. npj Digit. Medicine Boya Zhang, Alban Bornet, Rui Yang, Nan Liu, Douglas Teodoro
2025	J	`jnl`	A scoping review of artificial intelligence applications in clinical trial risk assessment. npj Digit. Medicine Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Bornet
2025	J	`jnl`	Analysis of eligibility criteria clusters based on large language models for clinical trial design. J. Am. Medical Informatics Assoc. Alban Bornet, Philipp Khlebnikov, Florian Meer, Quentin Haas, Anthony Yazdani, Boya Zhang, Poorya Amini, Douglas Teodoro
2025	J	`jnl`	Comparing neural language models for medical concept representation and patient trajectory prediction. Artif. Intell. Medicine Alban Bornet, Dimitrios Proios, Anthony Yazdani, Fernando Jaume-Santero, Guy Haller, Edward Choi, Douglas Teodoro
2025	J	`jnl`	HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models. CoRR Boya Zhang, Alban Bornet, Rui Yang, Nan Liu, Douglas Teodoro
2025	B	`conf`	ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts. CBMS Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F. Rodrigues, Douglas Teodoro
2025	J	`jnl`	ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts. CoRR Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F. Rodrigues Jr., Douglas Teodoro
2025	—	`conf`	STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks. AIME (1) Damien Geissbuhler, Alban Bornet, Catarina Marques, André Anjos, Sónia Pereira, Douglas Teodoro
2024	J	`jnl`	CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results. CoRR Anthony Yazdani, Alban Bornet, Boya Zhang, Philipp Khlebnikov, Poorya Amini, Douglas Teodoro
2023	B	`conf`	Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. DSAA Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro
2023	J	`jnl`	ProcNet: Deep Predictive Coding Model for Robust-to-occlusion Visual Segmentation and Pose Estimation. CoRR Michael Zechmair, Alban Bornet, Yannick Morel
2023	J	`jnl`	Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. J. Chem. Inf. Model. Fernando Jaume-Santero, Alban Bornet, Alain Valery, Nona Naderi, David Vicente Alvarez, Dimitrios Proios, Anthony Yazdani, Colin Bournez, Thomas Fessard, Douglas Teodoro
2021	—	`—`	Crowding and the importance of grouping and segmentation processes in human vision. Alban Bornet
2021	J	`jnl`	Shrinking Bouma's window: How to model crowding in dense displays. PLoS Comput. Biol. Alban Bornet, Adrien Doerig, Michael H. Herzog, Gregory Francis, Erik Van der Burg
2019	J	`jnl`	Beyond Bouma's window: How to explain global aspects of crowding? PLoS Comput. Biol. Adrien Doerig, Alban Bornet, Ruth Rosenholtz, Gregory Francis, Aaron Michael Clarke, Michael H. Herzog
2019	J	`jnl`	Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding. Frontiers Neurorobotics Alban Bornet, Jacques Kaiser, Alexander Kroner, Egidio Falotico, Alessandro Ambrosano, Kepa Cantero, Michael H. Herzog, Gregory Francis