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Milton Camacho

Showing results (1-10 of 7) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|September 5, 2023
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging dataRaissa Souza, Matthias Wilms, Milton Camacho, et al.
Scientific Reports|August 14, 2023
Machine learning-based prediction of longitudinal cognitive decline in early Parkinson's disease using multimodal featuresHannes Almgren, Milton Camacho, Alexandru Hanganu, et al.
Neuroimage. Clinical|December 29, 2022
Motor symptoms in Parkinson's disease are related to the interplay between cortical curvature and thicknessHannes Almgren, Alexandru Hanganu, Milton Camacho, et al.
NPJ Parkinson'S Disease|February 26, 2024
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI dataMilton Camacho, Matthias Wilms, Hannes Almgren, et al.
Neuroimage. Clinical|April 20, 2023
Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasetsMilton Camacho, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Artificial Intelligence|February 22, 2024
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigmRaissa Souza, Emma A M Stanley, Milton Camacho, et al.
IEEE Journal of Biomedical and Health Informatics|January 10, 2024
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?Raissa Souza, Anthony Winder, Emma A M Stanley, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of the American Medical Informatics Association : JAMIA|September 5, 2023
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging dataRaissa Souza, Matthias Wilms, Milton Camacho, et al.
Scientific Reports|August 14, 2023
Machine learning-based prediction of longitudinal cognitive decline in early Parkinson's disease using multimodal featuresHannes Almgren, Milton Camacho, Alexandru Hanganu, et al.
Neuroimage. Clinical|December 29, 2022
Motor symptoms in Parkinson's disease are related to the interplay between cortical curvature and thicknessHannes Almgren, Alexandru Hanganu, Milton Camacho, et al.
NPJ Parkinson'S Disease|February 26, 2024
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI dataMilton Camacho, Matthias Wilms, Hannes Almgren, et al.
Neuroimage. Clinical|April 20, 2023
Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasetsMilton Camacho, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Artificial Intelligence|February 22, 2024
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigmRaissa Souza, Emma A M Stanley, Milton Camacho, et al.
IEEE Journal of Biomedical and Health Informatics|January 10, 2024
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?Raissa Souza, Anthony Winder, Emma A M Stanley, et al.
Pageof 1