Emma A. M. Stanley

According to our database, Emma A. M. Stanley authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?

Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert

IEEE J. Biomed. Health Informatics, April, 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

A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm.

Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert

Frontiers Artif. Intell., 2024

Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis.

Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Matthias Wilms, G. Bruce Pike, Gabrielle Dagasso, Christopher Nielsen, Sarah J. MacEachern, Nils D. Forkert

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis?

Raissa Souza, Emma A. M. Stanley, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

2023

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

A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis.

Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets.

Raissa Souza, Emma A. M. Stanley, Milton Camacho, Matthias Wilms, Nils D. Forkert

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity.

Raissa Souza, Emma A. M. Stanley, Nils D. Forkert

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.

Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder.

Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022