An automated 3D registration method for optical coherence tomography volumes. - Yu Gan 003; Wang Yao; Kristin M. Myers; Christine P. Hendon (EMBC, 2014)

BM3D-based ultrasound image denoising via brushlet thresholding. - Yu Gan 003; Elsa D. Angelini; Andrew F. Laine; Christine P. Hendon (ISBI, 2015)

Towards optical monitoring of radiofrequency ablation extent for atrial fibrillation. - Rajinder P. Singh-Moon; Christine P. Hendon (ISBI, 2015)

Comparative study of texture features in OCT images at different scales for human breast tissue classification. - Yu Gan 003; Xinwen Yao; Ernest Chang; Syed Bin Amir; Hanina Hibshoosh; Sheldon Feldman; Christine P. Hendon (EMBC, 2016)

Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples. - William Meiniel; Yu Gan 003; Christine P. Hendon; Jean-Christophe Olivo-Marin; Andrew F. Laine; Elsa D. Angelini (ISBI, 2016)

Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. - Yu Gan 003; Jie Yang 041; Benjamin M. Smith; Pallavi P. Balte; Eric A. Hoffman; Christine P. Hendon; R. Graham Barr; Andrew F. Laine; Elsa D. Angelini (ISBI, 2019)

Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. - Ziyi Huang; Yu Gan 003; Theresa Lye; Darnel Theagene; Spandana Chintapalli; Simeran Virdi; Andrew Laine; Elsa D. Angelini; Christine P. Hendon (ISBI, 2020)

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. - Ziyi Huang; Yu Gan 003; Theresa Lye; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon (MICCAI (1), 2020)

Co-Seg: An Image Segmentation Framework Against Label Corruption. - Ziyi Huang; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon; Yu Gan 003 (ISBI, 2021)

Cardiac Adipose Tissue Segmentation via Image-Level Annotations. - Ziyi Huang; Yu Gan 003; Theresa Lye; Yanchen Liu; Haofeng Zhang 002; Andrew Laine; Elsa D. Angelini; Christine P. Hendon (IEEE J. Biomed. Health Informatics, 2023)