Kimberly Amador

4PUBLICATIONS
22CO-AUTHORS
Semi- and unsupervised learningInfant and child healthPeripheral nervous systemDeep learning
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Publications (4)

|Feb 15, 2025
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis.

Raissa Souza, Emma A M Stanley, Anthony J Winder

|May 15, 2024
Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach.

Ratika Srivastava, Lauran Cole, Kimberly Amador

|Feb 26, 2024
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data.

Milton Camacho, Matthias Wilms, Hannes Almgren

|Oct 09, 2020
Supervised machine learning tools: a tutorial for clinicians.

Lucas Lo Vercio, Kimberly Amador, Jordan J Bannister

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Frequent Collaborators

4 joint publications

Nils Daniel Forkert

3 joint publications

Matthias Wilms

2 joint publications

Anthony Winder

1 joint publications

Lucas Lo Vercio