| Fairness-related performance and explainability effects in deep learning models for brain image analysis EAM Stanley, M Wilms, P Mouches, ND Forkert Journal of Medical Imaging 9 (6), 061102-061102, 2022 | 16 | 2022 |
| Disproportionate subgroup impacts and other challenges of fairness in artificial intelligence for medical image analysis EAM Stanley, M Wilms, ND Forkert Workshop on the Ethical and Philosophical Issues in Medical Imaging, 14-25, 2022 | 12 | 2022 |
| A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder EAM Stanley, D Rajashekar, P Mouches, M Wilms, K Plettl, ND Forkert Medical Imaging 2022: Computer-Aided Diagnosis 12033, 310-315, 2022 | 7 | 2022 |
| 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 |
| A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis EAM Stanley, M Wilms, ND Forkert International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Challenges and Potential of Artificial Intelligence in Neuroradiology AJ Winder, EAM Stanley, J Fiehler, ND Forkert Clinical Neuroradiology, 1-13, 2024 | 1 | 2024 |
| Exploring the Role of Explainability for Uncovering Bias in Deep Learning-based Medical Image Analysis E Stanley, M Wilms, P Mouches, N Forkert Medical Imaging with Deep Learning, short paper track, 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 |
| A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm R Souza, EAM Stanley, M Camacho, R Camicioli, O Monchi, Z Ismail, ... Frontiers in Artificial Intelligence 7, 1301997, 2024 | | 2024 |
| 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, 2024 | | 2024 |
| On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity R Souza, EAM Stanley, ND Forkert Workshop on Clinical Image-Based Procedures, 289-300, 2023 | | 2023 |
| An analysis of intensity harmonization techniques for Parkinson’s multi-site MRI datasets R Souza, EAM Stanley, M Camacho, M Wilms, ND Forkert Medical Imaging 2023: Computer-Aided Diagnosis 12465, 570-576, 2023 | | 2023 |
| Neuroethics considerations for precision medicine and machine learning in neurodevelopmental disorders EAM Stanley, ND Forkert, SJ MacEachern Developments in Neuroethics and Bioethics 6, 203-220, 2023 | | 2023 |
