Joshua P. Yung

According to our database, Joshua P. Yung authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation.

McKell Woodland, Nihil Patel, Austin Castelo, Mais Al Taie, Mohamed Eltaher, Joshua P. Yung, Tucker J. Netherton, Tiffany L. Calderone, Jessica I. Sanchez, Darrel W. Cleere, Ahmed Elsaiey, Nakul Gupta, David Victor, Laura Beretta, Ankit B. Patel Kristy, Kristy K. Brock

CoRR, 2024

Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend.

McKell Woodland, Austin Castelo, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Importance of Feature Extraction in the Calculation of Fréchet Distance for Medical Imaging.

McKell Woodland, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Austin Castelo, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock

CoRR, 2023

Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation.

McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2021

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.

Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes

CoRR, 2021