Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Alban Bornet

Showing results (11-20 of 23) with videos related to

Pageof 3
Sort By:
Studies in Health Technology and Informatics|May 23, 2026
CONORM-DEID: Robustness Evaluation of a Multilingual De-Identification System for Clinical TextsAnthony Yazdani, Alban Bornet, Hossein Rouhizadeh, et al.
Studies in Health Technology and Informatics|May 17, 2025
Assessment of Machine Learning Algorithms to Predict Medical Specialty ChoiceDavid Vicente Alvarez, Milena Abbiati, Alban Bornet, et al.
Plos Computational Biology|July 6, 2021
Shrinking Bouma's window: How to model crowding in dense displaysAlban Bornet, Adrien Doerig, Michael H Herzog, et al.
Studies in Health Technology and Informatics|May 23, 2026
Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty ChoiceDavid Vicente Alvarez, Milena Abbiati, Alban Bornet, et al.
Scientific Data|March 12, 2025
An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial ResultsAnthony Yazdani, Alban Bornet, Philipp Khlebnikov, et al.
Journal of Vision|November 23, 2021
Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueingAlban Bornet, Oh-Hyeon Choung, Adrien Doerig, et al.
Plos Computational Biology|May 11, 2019
Beyond Bouma's window: How to explain global aspects of crowding?Adrien Doerig, Alban Bornet, Ruth Rosenholtz, et al.
Artificial Intelligence in Medicine|March 14, 2025
Comparing neural language models for medical concept representation and patient trajectory predictionAlban Bornet, Dimitrios Proios, Anthony Yazdani, et al.
Journal of the American Medical Informatics Association : JAMIA|December 26, 2024
Analysis of eligibility criteria clusters based on large language models for clinical trial designAlban Bornet, Philipp Khlebnikov, Florian Meer, et al.
Scientific Data|January 17, 2025
A dataset for evaluating clinical research claims in large language modelsBoya Zhang, Alban Bornet, Anthony Yazdani, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Studies in Health Technology and Informatics|May 23, 2026
CONORM-DEID: Robustness Evaluation of a Multilingual De-Identification System for Clinical TextsAnthony Yazdani, Alban Bornet, Hossein Rouhizadeh, et al.
Studies in Health Technology and Informatics|May 17, 2025
Assessment of Machine Learning Algorithms to Predict Medical Specialty ChoiceDavid Vicente Alvarez, Milena Abbiati, Alban Bornet, et al.
Plos Computational Biology|July 6, 2021
Shrinking Bouma's window: How to model crowding in dense displaysAlban Bornet, Adrien Doerig, Michael H Herzog, et al.
Studies in Health Technology and Informatics|May 23, 2026
Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty ChoiceDavid Vicente Alvarez, Milena Abbiati, Alban Bornet, et al.
Scientific Data|March 12, 2025
An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial ResultsAnthony Yazdani, Alban Bornet, Philipp Khlebnikov, et al.
Journal of Vision|November 23, 2021
Global and high-level effects in crowding cannot be predicted by either high-dimensional pooling or target cueingAlban Bornet, Oh-Hyeon Choung, Adrien Doerig, et al.
Plos Computational Biology|May 11, 2019
Beyond Bouma's window: How to explain global aspects of crowding?Adrien Doerig, Alban Bornet, Ruth Rosenholtz, et al.
Artificial Intelligence in Medicine|March 14, 2025
Comparing neural language models for medical concept representation and patient trajectory predictionAlban Bornet, Dimitrios Proios, Anthony Yazdani, et al.
Journal of the American Medical Informatics Association : JAMIA|December 26, 2024
Analysis of eligibility criteria clusters based on large language models for clinical trial designAlban Bornet, Philipp Khlebnikov, Florian Meer, et al.
Scientific Data|January 17, 2025
A dataset for evaluating clinical research claims in large language modelsBoya Zhang, Alban Bornet, Anthony Yazdani, et al.
Pageof 3