Emma A. M. Stanley

21 papers Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distinct visual biases affect humans and artificial intelligence in medical imaging diagnoses. npj Digit. Medicine Graham A. McLeod, Emma A. M. Stanley, Tom Rosenal, Nils D. Forkert
2025	J	`jnl`	Assessment of demographic bias in retinal age prediction machine learning models. Frontiers Artif. Intell. Christopher Nielsen, Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
2025	—	`conf`	Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification. FAIMI@MICCAI Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz, Nils D. Forkert, Ben Glocker
2025	J	`jnl`	Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification. CoRR Emma A. M. Stanley, Raghav Mehta, Mélanie Roschewitz, Nils D. Forkert, Ben Glocker
2025	J	`jnl`	Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. npj Digit. Medicine Raissa Souza, Emma A. M. Stanley, Anthony J. Winder, Chris Kang, Kimberly Amador, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2025	—	`conf`	Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation. HAIC@MICCAI Haley Gillett, Emma A. M. Stanley, Raissa Souza, Matthias Wilms, Nils D. Forkert
2025	—	`conf`	Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging. MICCAI (8) Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms
2025	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. Trans. Mach. Learn. Res. Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2024	—	`conf`	A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children. MLCN@MICCAI Matthias Wilms, Ahmad O. Ahsan, Erik Y. Ohara, Gabrielle Dagasso, Elizabeth Macavoy, Emma A. M. Stanley, Vibujithan Vigneshwaran, Nils D. Forkert
2024	J	`jnl`	A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm. Frontiers Artif. Intell. Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2024	—	`conf`	Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis. FAIMI/EPIMI@MICCAI Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Matthias Wilms, G. Bruce Pike, Gabrielle Dagasso, Christopher Nielsen, Sarah J. MacEachern, Nils D. Forkert
2024	—	`conf`	Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis? FAIMI/EPIMI@MICCAI Raissa Souza, Emma A. M. Stanley, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	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 Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging. J. Am. Medical Informatics Assoc. Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
2024	J	`jnl`	Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR Farzaneh Dehghani, Mahsa Dibaji, Fahim Anzum, Lily Dey, Alican Basdemir, Sayeh Bayat, Jean-Christophe Boucher, Steve Drew, Sarah Elaine Eaton, Richard Frayne, Gouri Ginde, Ashley D. Harris, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento
2023	—	`conf`	A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis. MICCAI (2) Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert
2023	—	`conf`	An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets. Computer-Aided Diagnosis Raissa Souza, Emma A. M. Stanley, Milton Camacho, Matthias Wilms, Nils D. Forkert
2023	—	`conf`	On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity. CLIP/FAIMI/EPIMI@MICCAI Raissa Souza, Emma A. M. Stanley, Nils D. Forkert
2023	J	`jnl`	Towards objective and systematic evaluation of bias in medical imaging AI. CoRR Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert
2022	—	`conf`	A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder. Computer-Aided Diagnosis Emma A. M. Stanley, Deepthi Rajashekar, Pauline Mouches, Matthias Wilms, Kira Plettl, Nils D. Forkert
2022	—	`conf`	Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis. EPIMI/ML-CDS@MICCAI Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert