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Raissa Souza

Showing results (1-10 of 22) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|September 3, 2024
Foundation model-driven distributed learning for enhanced retinal age predictionChristopher Nielsen, Raissa Souza, Matthias Wilms, et al.
Journal of Biomedical Informatics|July 7, 2025
Accounting for population structure in deep learning models for genomic analysisGabrielle Dagasso, Matthias Wilms, Raissa Souza, et al.
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2022
An analysis of the effects of limited training data in distributed learning scenarios for brain age predictionRaissa Souza, Pauline Mouches, Matthias Wilms, et al.
Journal of Medical Systems|May 22, 2026
RetCond: A Conditional Diffusion Model for Self-Explanatory Multi-Class Fundus Image ClassificationAhmad O Ahsan, Christopher Nielsen, Raissa Souza, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation studyErik Y Ohara, Vibujithan Vigneshwaran, Raissa Souza, et al.
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.
Neuroimage. Clinical|January 10, 2026
Investigating causal relations between brain morphology and genetic risk variants in Parkinson's diseaseGabrielle Dagasso, Vibujithan Vigneshwaran, Anthony J Winder, et al.
Journal of the American Medical Informatics Association : JAMIA|June 28, 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imagingEmma A M Stanley, Raissa Souza, Anthony J Winder, 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.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of the American Medical Informatics Association : JAMIA|September 3, 2024
Foundation model-driven distributed learning for enhanced retinal age predictionChristopher Nielsen, Raissa Souza, Matthias Wilms, et al.
Journal of Biomedical Informatics|July 7, 2025
Accounting for population structure in deep learning models for genomic analysisGabrielle Dagasso, Matthias Wilms, Raissa Souza, et al.
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2022
An analysis of the effects of limited training data in distributed learning scenarios for brain age predictionRaissa Souza, Pauline Mouches, Matthias Wilms, et al.
Journal of Medical Systems|May 22, 2026
RetCond: A Conditional Diffusion Model for Self-Explanatory Multi-Class Fundus Image ClassificationAhmad O Ahsan, Christopher Nielsen, Raissa Souza, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 25, 2025
Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation studyErik Y Ohara, Vibujithan Vigneshwaran, Raissa Souza, et al.
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.
Neuroimage. Clinical|January 10, 2026
Investigating causal relations between brain morphology and genetic risk variants in Parkinson's diseaseGabrielle Dagasso, Vibujithan Vigneshwaran, Anthony J Winder, et al.
Journal of the American Medical Informatics Association : JAMIA|June 28, 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imagingEmma A M Stanley, Raissa Souza, Anthony J Winder, 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.
Pageof 3