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Daniel D Leeds

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

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Neuroimage|March 15, 2016
A method for real-time visual stimulus selection in the study of cortical object perceptionDaniel D Leeds, Michael J Tarr
Military Medicine|March 23, 2019
Predictive Power of Head Impact Intensity Measures for Recognition Memory PerformanceDaniel D Leeds, Christopher D'Lauro, Brian R Johnson
Frontiers in Computational Neuroscience|October 14, 2014
Exploration of complex visual feature spaces for object perceptionDaniel D Leeds, John A Pyles, Michael J Tarr
Scientific Reports|April 3, 2022
Contextual associations represented both in neural networks and human behaviorElissa M Aminoff, Shira Baror, Eric W Roginek, et al.
Journal of Vision|November 26, 2013
Comparing visual representations across human fMRI and computational visionDaniel D Leeds, Darren A Seibert, John A Pyles, et al.
Brain Injury|February 8, 2022
Beliefs affecting concussion reporting among military cadets: advanced observations through machine learningDaniel D Leeds, Yue Zeng, Brian R Johnson, et al.
Medicine and Science in Sports and Exercise|July 26, 2022
Optimizing Concussion Care Seeking: Identification of Factors Predicting Previous Concussion Diagnosis StatusJohna Register-Mihalik, Daniel D Leeds, Emily Kroshus, et al.
The American Journal of Sports Medicine|August 5, 2024
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion ReportingEmily Kroshus-Havril, Daniel D Leeds, Thomas W McAllister, et al.
The American Journal of Sports Medicine|August 23, 2022
Optimizing Concussion Care Seeking: The Influence of Previous Concussion Diagnosis Status on Baseline Assessment OutcomesRobert C Lynall, Christopher D'Lauro, Zachary Y Kerr, et al.
Pageof 1

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

Sort By:
Pageof 1
Neuroimage|March 15, 2016
A method for real-time visual stimulus selection in the study of cortical object perceptionDaniel D Leeds, Michael J Tarr
Military Medicine|March 23, 2019
Predictive Power of Head Impact Intensity Measures for Recognition Memory PerformanceDaniel D Leeds, Christopher D'Lauro, Brian R Johnson
Frontiers in Computational Neuroscience|October 14, 2014
Exploration of complex visual feature spaces for object perceptionDaniel D Leeds, John A Pyles, Michael J Tarr
Scientific Reports|April 3, 2022
Contextual associations represented both in neural networks and human behaviorElissa M Aminoff, Shira Baror, Eric W Roginek, et al.
Journal of Vision|November 26, 2013
Comparing visual representations across human fMRI and computational visionDaniel D Leeds, Darren A Seibert, John A Pyles, et al.
Brain Injury|February 8, 2022
Beliefs affecting concussion reporting among military cadets: advanced observations through machine learningDaniel D Leeds, Yue Zeng, Brian R Johnson, et al.
Medicine and Science in Sports and Exercise|July 26, 2022
Optimizing Concussion Care Seeking: Identification of Factors Predicting Previous Concussion Diagnosis StatusJohna Register-Mihalik, Daniel D Leeds, Emily Kroshus, et al.
The American Journal of Sports Medicine|August 5, 2024
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion ReportingEmily Kroshus-Havril, Daniel D Leeds, Thomas W McAllister, et al.
The American Journal of Sports Medicine|August 23, 2022
Optimizing Concussion Care Seeking: The Influence of Previous Concussion Diagnosis Status on Baseline Assessment OutcomesRobert C Lynall, Christopher D'Lauro, Zachary Y Kerr, et al.
Pageof 1