Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks. - Kimberly Amador; Matthias Wilms; Anthony J. Winder; Jens Fiehler; Nils D. Forkert (MIDL, 2021)

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. - Kimberly Amador; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (MICCAI (3), 2022)

Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. - Kimberly Amador; Matthias Wilms; Anthony J. Winder; Jens Fiehler; Nils D. Forkert (Medical Image Anal., 2022)

Towards objective and systematic evaluation of bias in medical imaging AI. - Emma A. M. Stanley; Raissa Souza; Anthony J. Winder; Vedant Gulve; Kimberly Amador; Matthias Wilms; Nils D. Forkert (CoRR, 2023)

Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. - Kimberly Amador; Anthony J. Winder; Noah Pinel; Jens Fiehler; Matthias Wilms; Nils D. Forkert (ISBI, 2024)

Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data. - Kimberly Amador; Anthony J. Winder; Nils D. Forkert (SWITCH/ISLES@MICCAI, 2024)

Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke. - Alejandro Gutierrez; Kimberly Amador; Anthony J. Winder; Matthias Wilms; Jens Fiehler; Nils D. Forkert (Comput. Medical Imaging Graph., 2024)

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. - Emma A. M. Stanley; Raissa Souza; Anthony J. Winder; Vedant Gulve; Kimberly Amador; Matthias Wilms; Nils D. Forkert (J. Am. Medical Informatics Assoc., 2024)

Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes. - Kimberly Amador; Alejandro Gutierrez; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (J. Biomed. Informatics, 2024)

A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. - Kimberly Amador; Noah Pinel; Anthony J. Winder; Jens Fiehler; Matthias Wilms; Nils D. Forkert (Medical Image Anal., 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; Chris Kang; Kimberly Amador; Erik Y. Ohara; Gabrielle Dagasso; Richard Camicioli; Oury Monchi; Zahinoor Ismail; Matthias Wilms; Nils D. Forkert (npj Digit. Medicine, 2025)