Yinzhu Jin

According to our database, Yinzhu Jin authored at least 8 papers between 2017 and 2025.

Collaborative distances:

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

2025

RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models.

Shen Zhu, Yinzhu Jin, Tyler A. Spears, Ifrah Zawar, P. Thomas Fletcher

CoRR, July, 2025

MedIL: Implicit Latent Spaces for Generating Heterogeneous Medical Images at Arbitrary Resolutions.

Tyler A. Spears, Shen Zhu, Yinzhu Jin, Aman Shrivastava, P. Thomas Fletcher

CoRR, April, 2025

2024

Implications of data topology for deep generative models.

Yinzhu Jin, Rory McDaniel, N. Joseph Tatro, Michael J. Catanzaro, Abraham D. Smith, Paul Bendich, Matthew B. Dwyer, P. Thomas Fletcher

Frontiers Comput. Sci., 2024

Learning Group Actions on Latent Representations.

Yinzhu Jin, Aman Shrivastava, Tom Fletcher

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in The Data Manifold.

Yinzhu Jin, Matthew B. Dwyer, P. Thomas Fletcher

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Impact of longitudinal data-completeness of electronic health record data on risk score misclassification.

Yinzhu Jin, Sebastian Schneeweiss, Dave Merola, Kueiyu Joshua Lin

J. Am. Medical Informatics Assoc., 2022

Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction.

Yinzhu Jin, Jonathan C. Garneau, P. Thomas Fletcher

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2017

Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention.

Shirley V. Wang, James R. Rogers, Yinzhu Jin, David W. Bates, Michael A. Fischer

J. Am. Medical Informatics Assoc., 2017