| 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 | 104 | 2020 |
| 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 | 14 | 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 | 14 | 2021 |
| 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 | 9 | 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 | 7 | 2022 |
| Distinct phenotypes of multisystem inflammatory syndrome in children: a cohort study T Renson, ND Forkert, K Amador, P Miettunen, SJ Parsons, M Dhalla, ... Pediatric Rheumatology 21 (1), 33, 2023 | 3 | 2023 |
| Towards objective and systematic evaluation of bias in medical imaging AI EAM Stanley, R Souza, A Winder, V Gulve, K Amador, M Wilms, ... arXiv preprint arXiv:2311.02115, 2023 | 2 | 2023 |
| Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach R Srivastava, L Cole, K Amador, ND Forkert, M Dunbar, MI Shevell, ... Neurology 102 (11), e209393, 2024 | 1 | 2024 |
| Exploiting macro-and micro-structural brain changes for improved Parkinson’s disease classification from MRI data M Camacho, M Wilms, H Almgren, K Amador, R Camicioli, Z Ismail, ... npj Parkinson's Disease 10 (1), 43, 2024 | 1 | 2024 |
| Machine learning using multimodal clinical, electroencephalographic, and magnetic resonance imaging data can predict incident depression in adults with epilepsy: a pilot study G Delgado‐García, JDT Engbers, S Wiebe, P Mouches, K Amador, ... Epilepsia 64 (10), 2781-2791, 2023 | 1 | 2023 |
| 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, ocae165, 2024 | | 2024 |
| 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 | | 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 | | 2024 |
| Reading the Waves: Identifying Distinct Phenotypes of Multisystem Inflammatory Syndrome in Children During the 2020-2021 COVID-19 Pandemic T Renson, N Forkert, K Amador, P Miettunen, S Parsons, M Dhalla, ... ARTHRITIS & RHEUMATOLOGY 74, 3801-3804, 2022 | | 2022 |
