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Kimberly Amador
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2020 – today
- 2025
- [j6]Kimberly Amador
, Noah Pinel
, Anthony J. Winder
, Jens Fiehler, Matthias Wilms
, Nils D. Forkert
:
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. Medical Image Anal. 99: 103381 (2025) - [j5]Raissa Souza
, Emma A. M. Stanley
, Anthony J. Winder, Chris Kang, Kimberly Amador
, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. npj Digit. Medicine 8(1) (2025) - 2024
- [j4]Alejandro Gutierrez
, Kimberly Amador, Anthony J. Winder
, Matthias Wilms, Jens Fiehler, Nils D. Forkert:
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. Comput. Medical Imaging Graph. 114: 102376 (2024) - [j3]Emma A. M. Stanley
, Raissa Souza
, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
:
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. J. Am. Medical Informatics Assoc. 31(11): 2613-2621 (2024) - [j2]Kimberly Amador
, Alejandro Gutierrez, Anthony J. Winder
, Jens Fiehler, Matthias Wilms
, Nils D. Forkert
:
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. J. Biomed. Informatics 149: 104567 (2024) - [c4]Kimberly Amador, Anthony J. Winder, Noah Pinel, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. ISBI 2024: 1-5 - [c3]Kimberly Amador, Anthony J. Winder, Nils D. Forkert:
Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data. SWITCH/ISLES@MICCAI 2024: 83-88 - 2023
- [i1]Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert:
Towards objective and systematic evaluation of bias in medical imaging AI. CoRR abs/2311.02115 (2023) - 2022
- [j1]Kimberly Amador
, Matthias Wilms
, Anthony J. Winder
, Jens Fiehler
, Nils D. Forkert
:
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. Medical Image Anal. 82: 102610 (2022) - [c2]Kimberly Amador, Anthony J. Winder
, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. MICCAI (3) 2022: 644-654 - 2021
- [c1]Kimberly Amador
, Matthias Wilms, Anthony J. Winder, Jens Fiehler, Nils D. Forkert:
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. MIDL 2021: 22-33
Coauthor Index

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last updated on 2025-04-03 01:21 CEST by the dblp team
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