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 001 (J. Am. Medical Informatics Assoc., 2017)

Feature Gradient Flow for Interpreting Deep Neural Networks in Head and Neck Cancer Prediction. - Yinzhu Jin; Jonathan C. Garneau; P. Thomas Fletcher (ISBI, 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)

Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in The Data Manifold. - Yinzhu Jin; Matthew B. Dwyer; P. Thomas Fletcher (ISBI, 2024)

Learning Group Actions on Latent Representations. - Yinzhu Jin; Aman Shrivastava; Tom Fletcher (NeurIPS, 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)

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, 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, 2025)

Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model. - Shen Zhu; Yinzhu Jin; Ifrah Zawar; P. Thomas Fletcher (CoRR, 2025)