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

Lars Lambriks

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Plos One|April 20, 2023
Extending the audiogram with loudness growth: The complementarity of electric and acoustic hearing in bimodal patientsLars Lambriks, Marc van Hoof, Erwin George, et al.
Medicine and Science in Sports and Exercise|October 27, 2018
Energy Expenditure during Extreme Endurance Exercise: The Giro d'ItaliaGuy Plasqui, Gerard Rietjens, Lars Lambriks, et al.
Scientific Reports|April 17, 2025
Author Correction: Learning to hear again with alternating cochlear frequency allocationsMarc van Hoof, Lars Lambriks, Kiki van der Heijden, et al.
Scientific Reports|January 2, 2025
Learning to hear again with alternating cochlear frequency allocationsMarc van Hoof, Lars Lambriks, Kiki van der Heijden, et al.
Frontiers in Neurology|February 27, 2023
Toward neural health measurements for cochlear implantation: The relationship among electrode positioning, the electrically evoked action potential, impedances and behavioral stimulation levelsLars Lambriks, Marc van Hoof, Joke Debruyne, et al.
Plos One|January 17, 2025
Experienced cognitive load in the emergency department. A prospective studyYael Appelboom, Yvonne Groenen, Dirk Notten, et al.
Frontiers in Neuroscience|May 1, 2023
Imaging-based frequency mapping for cochlear implants - Evaluated using a daily randomized controlled trialLars Lambriks, Marc van Hoof, Joke Debruyne, et al.
Nature Communications|December 1, 2025
Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trialPaul M E L van Dam, William P T M van Doorn, Lotte Sevenich, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|January 23, 2024
Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency departmentPaul M E L van Dam, William P T M van Doorn, Floor van Gils, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Plos One|April 20, 2023
Extending the audiogram with loudness growth: The complementarity of electric and acoustic hearing in bimodal patientsLars Lambriks, Marc van Hoof, Erwin George, et al.
Medicine and Science in Sports and Exercise|October 27, 2018
Energy Expenditure during Extreme Endurance Exercise: The Giro d'ItaliaGuy Plasqui, Gerard Rietjens, Lars Lambriks, et al.
Scientific Reports|April 17, 2025
Author Correction: Learning to hear again with alternating cochlear frequency allocationsMarc van Hoof, Lars Lambriks, Kiki van der Heijden, et al.
Scientific Reports|January 2, 2025
Learning to hear again with alternating cochlear frequency allocationsMarc van Hoof, Lars Lambriks, Kiki van der Heijden, et al.
Frontiers in Neurology|February 27, 2023
Toward neural health measurements for cochlear implantation: The relationship among electrode positioning, the electrically evoked action potential, impedances and behavioral stimulation levelsLars Lambriks, Marc van Hoof, Joke Debruyne, et al.
Plos One|January 17, 2025
Experienced cognitive load in the emergency department. A prospective studyYael Appelboom, Yvonne Groenen, Dirk Notten, et al.
Frontiers in Neuroscience|May 1, 2023
Imaging-based frequency mapping for cochlear implants - Evaluated using a daily randomized controlled trialLars Lambriks, Marc van Hoof, Joke Debruyne, et al.
Nature Communications|December 1, 2025
Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trialPaul M E L van Dam, William P T M van Doorn, Lotte Sevenich, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|January 23, 2024
Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency departmentPaul M E L van Dam, William P T M van Doorn, Floor van Gils, et al.
Pageof 1