Anthony J. Winder

Orcid: 0000-0002-9650-5526

According to our database1, Anthony J. Winder authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.
Medical Image Anal., 2025

2024
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?
IEEE J. Biomed. Health Informatics, April, 2024

Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes.
J. Biomed. Informatics, January, 2024

Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging.
J. Am. Medical Informatics Assoc., 2024

Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke.
Comput. Medical Imaging Graph., 2024

Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Towards objective and systematic evaluation of bias in medical imaging AI.
CoRR, 2023

2022
Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks.
Medical Image Anal., 2022

Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2017
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017


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