| Supervised machine learning tools: a tutorial for clinicians LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ... Journal of Neural Engineering 17 (6), 062001, 2020 | 137 | 2020 |
| Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients AJ Winder, S Siemonsen, F Flottmann, G Thomalla, J Fiehler, ND Forkert Scientific reports 9 (1), 13208, 2019 | 26 | 2019 |
| Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks K Amador, M Wilms, A Winder, J Fiehler, ND Forkert Medical image analysis 82, 102610, 2022 | 25 | 2022 |
| Automatic arterial input function selection in CT and MR perfusion datasets using deep convolutional neural networks A Winder, CD d’Esterre, BK Menon, J Fiehler, ND Forkert Medical Physics 47 (9), 4199-4211, 2020 | 25 | 2020 |
| Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning AJ Winder, M Wilms, K Amador, F Flottmann, J Fiehler, ND Forkert Frontiers in neuroscience 16, 1009654, 2022 | 16 | 2022 |
| Hybrid spatio-temporal transformer network for predicting ischemic stroke lesion outcomes from 4d ct perfusion imaging K Amador, A Winder, J Fiehler, M Wilms, ND Forkert International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 16 | 2022 |
| Stroke lesion outcome prediction based on 4D CT perfusion data using temporal convolutional networks K Amador, M Wilms, A Winder, J Fiehler, N Forkert Medical Imaging with Deep Learning, 22-33, 2021 | 16 | 2021 |
| Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging EAM Stanley, R Souza, AJ Winder, V Gulve, K Amador, M Wilms, ... Journal of the American Medical Informatics Association 31 (11), 2613-2621, 2024 | 11 | 2024 |
| Treatment efficacy analysis in acute ischemic stroke patients using in silico modeling based on machine learning: A proof-of-principle A Winder, M Wilms, J Fiehler, ND Forkert Biomedicines 9 (10), 1357, 2021 | 10 | 2021 |
| Identifying biases in a multicenter MRI database for Parkinson's disease classification: is the disease classifier a secret site classifier? R Souza, A Winder, EAM Stanley, V Vigneshwaran, M Camacho, ... IEEE Journal of Biomedical and Health Informatics 28 (4), 2047-2054, 2024 | 9 | 2024 |
| Challenges and potential of artificial intelligence in neuroradiology AJ Winder, EAM Stanley, J Fiehler, ND Forkert Clinical Neuroradiology 34 (2), 293-305, 2024 | 7 | 2024 |
| Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes K Amador, A Gutierrez, A Winder, J Fiehler, M Wilms, ND Forkert Journal of Biomedical Informatics 149, 104567, 2024 | 7 | 2024 |
| Machine learning-based prediction of brain tissue infarction in patients with acute ischemic stroke treated with theophylline as an add-on to thrombolytic therapy: a randomized … B Modrau, A Winder, N Hjort, MN Johansen, G Andersen, J Fiehler, ... Frontiers in Neurology 12, 613029, 2021 | 6 | 2021 |
| Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention AJ Winder, S Siemonsen, F Flottmann, J Fiehler, ND Forkert Medical Imaging 2017: Computer-Aided Diagnosis 10134, 1119-1124, 2017 | 3 | 2017 |
| Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic stroke A Gutierrez, K Amador, A Winder, M Wilms, J Fiehler, ND Forkert Computerized Medical Imaging and Graphics 114, 102376, 2024 | 2 | 2024 |
| Perfusion Changes in Acute Stroke Treated with Theophylline as an Add-on to Thrombolysis: A Randomized Clinical Trial Subgroup Analysis B Modrau, A Winder, N Hjort, M Nygård Johansen, G Andersen, J Fiehler, ... Clinical neuroradiology, 1-8, 2022 | 2 | 2022 |
| A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata K Amador, N Pinel, AJ Winder, J Fiehler, M Wilms, ND Forkert Medical Image Analysis 99, 103381, 2025 | 1 | 2025 |
| Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis R Souza, EAM Stanley, AJ Winder, C Kang, K Amador, EY Ohara, ... npj Digital Medicine 8 (1), 104, 2025 | | 2025 |
| Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data K Amador, AJ Winder, ND Forkert MICCAI Challenge on Ischemic Stroke Lesion Segmentation, 83-88, 2024 | | 2024 |
| Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis EAM Stanley, R Souza, AJ Winder, M Wilms, GB Pike, G Dagasso, ... MICCAI Workshop on Fairness of AI in Medical Imaging, 163-175, 2024 | | 2024 |
