Erik Y. Ohara

According to our database, Erik Y. Ohara authored at least 5 papers between 2024 and 2026.

Collaborative distances:

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

2026

MACAW: A Causal Generative Model for Medical Imaging.

Vibujithan Vigneshwaran, Erik Y. Ohara, Matthias Wilms, Nils Daniel Forkert

Trans. Mach. Learn. Res., 2026

Combining federated learning and travelling model boosts performance and opens opportunities for digital health equity.

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

npj Digit. Medicine, 2026

2025

Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis.

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

npj Digit. Medicine, 2025

Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging.

Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children.

Matthias Wilms, Ahmad O. Ahsan, Erik Y. Ohara, Gabrielle Dagasso, Elizabeth Macavoy, Emma A. M. Stanley, Vibujithan Vigneshwaran, Nils D. Forkert

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024