David J. Libon
Affiliations: | Department of Neurology, Drexel University, College of Medicine |
Area:
dementiaGoogle:
"David Libon"Mean distance: 16.01 (cluster 25) | S | N | B | C | P |
Children
Sign in to add traineeCatherine Elizabeth Price | grad student | Drexel | |
Stephanie A. Cosentino | grad student | 1999-2004 | Rowan School of Medicine (LinguisTree) |
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Publications
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Ciesla M, Pobst J, Gomes-Osman J, et al. (2024) Estimating dementia risk in an African American population using the DCTclock. Frontiers in Aging Neuroscience. 15: 1328333 |
De Anda-Duran I, Sunderaraman P, Searls E, et al. (2024) Comparing Cognitive Tests and Smartphone-Based Assessment in 2 US Community-Based Cohorts. Journal of the American Heart Association. 13: e032733 |
Libon DJ, Matusz EF, Cosentino S, et al. (2023) Using digital assessment technology to detect neuropsychological problems in primary care settings. Frontiers in Psychology. 14: 1280593 |
Zhang J, Bandyopadhyay S, Kimmet F, et al. (2023) FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groups. Research Square |
Libon DJ, Emrani S, Matusz EF, et al. (2023) Instrumental activities of daily living and mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology. 1-9 |
Dion C, Tanner JJ, Libon DJ, et al. (2023) Contributions of Cardiovascular Burden, Peripheral Inflammation, and Brain Integrity on Digital Clock Drawing Performance in Non-Demented Older Adults. Journal of Alzheimer's Disease : Jad |
Bandyopadhyay S, Wittmayer J, Libon DJ, et al. (2023) Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands. Scientific Reports. 13: 7384 |
Dion C, Tanner JJ, Formanski EM, et al. (2022) The functional connectivity and neuropsychology underlying mental planning operations: data from the digital clock drawing test. Frontiers in Aging Neuroscience. 14: 868500 |
Bandyopadhyay S, Dion C, Libon DJ, et al. (2022) Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia. Scientific Reports. 12: 7992 |
Libon DJ, Swenson R, Lamar M, et al. (2022) The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions. Journal of Alzheimer's Disease : Jad |