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Medical Image Analysis|September 14, 2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networksKimberly Amador, Matthias Wilms, Anthony Winder, et al.
Journal of Biomedical Informatics|December 14, 2023
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomesKimberly Amador, Alejandro Gutierrez, Anthony Winder, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 27, 2024
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic strokeAlejandro Gutierrez, Kimberly Amador, Anthony Winder, et al.
Medical Image Analysis|November 5, 2024
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadataKimberly Amador, Noah Pinel, Anthony J Winder, et al.
Frontiers in Neuroscience|November 21, 2022
Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learningAnthony J Winder, Matthias Wilms, Kimberly Amador, et al.
Scientific Reports|November 1, 2025
A multimodal multitask deep learning model for predicting stroke lesion and functional outcomes using 4D CTP imaging and clinical metadataKimberly Amador, Anthony J Winder, Jens Fiehler, 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.
Frontiers in Psychiatry|July 17, 2026
Age-stratified multimodal MRI and machine learning to explore autism-related brain characteristics in youthGarazi Casillas Martinez, Anthony Winder, Kimberly Amador, 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.
Frontiers in Pediatrics|October 15, 2025
The future is in the background: background EEG patterns, not acute seizures, predict epilepsy and neurodevelopmental outcomes in neonatal HIEKristine E Woodward, Pauline de Jesus, Kimberly Amador, et al.
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