Daniel Leeds
Affiliations: | 2007-2013 | Program In Neural Computation / Machine Learning | Carnegie Mellon University, Pittsburgh, PA |
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| Kroshus-Havril E, Leeds DD, McAllister TW, et al. (2024) Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting. The American Journal of Sports Medicine. 52: 2372-2383 |
| D'Lauro C, Register-Mihalik JK, Meier TB, et al. (2024) Optimizing Concussion Care Seeking: Connecting Care-Seeking Behaviors and Neurophysiological States Through Blood Biomarkers. The American Journal of Sports Medicine. 3635465231221782 |
| Schmidt JD, Broglio SP, Knight K, et al. (2022) Optimizing Concussion Care Seeking: A Longitudinal Analysis of Recovery. The American Journal of Sports Medicine. 3635465221135771 |
| Lynall RC, D'Lauro C, Kerr ZY, et al. (2022) Optimizing Concussion Care Seeking: The Influence of Previous Concussion Diagnosis Status on Baseline Assessment Outcomes. The American Journal of Sports Medicine. 3635465221118089 |
| Mihalik JR, Leeds DD, Kroshus E, et al. (2022) Optimizing Concussion Care Seeking: Identification of Factors Predicting Previous Concussion Diagnosis Status. Medicine and Science in Sports and Exercise |
| Leeds DD, Zeng Y, Johnson BR, et al. (2022) Beliefs affecting concussion reporting among military cadets: advanced observations through machine learning. Brain Injury. 1-10 |
| Leeds DD, D'Lauro C, Johnson BR. (2019) Predictive Power of Head Impact Intensity Measures for Recognition Memory Performance. Military Medicine. 184: 206-217 |
| Leeds DD, Tarr MJ. (2016) A method for real-time visual stimulus selection in the study of cortical object perception. Neuroimage |
| Leeds D, Shutov D. (2016) Semantic object grouping in the visual cortex seen through MVPA Journal of Vision. 16: 504 |
| Leeds D, Tarr M. (2015) Mixing hierarchical edge detection and medial axis models of object perception Journal of Vision. 15: 1095 |