Variance-modeled posterior inference of microarray data: detecting gene-expression changes in 3T3-L1 adipocytes. - Albert Hsiao; D. S. Worrall; Jerrold M. Olefsky; Shankar Subramaniam (Bioinform., 2004)

VAMPIRE microarray suite: a web-based platform for the interpretation of gene expression data. - Albert Hsiao; Trey Ideker; Jerrold M. Olefsky; Shankar Subramaniam (Nucleic Acids Res., 2005)

Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising. - Frank Ong; Martin Uecker; Umar Tariq; Albert Hsiao; Marcus T. Alley; S. S. Vasanawala; Michael Lustig (ISBI, 2013)

Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks. - Matthieu Lê; Jesse Lieman-Sifry; Felix Lau; Sean Sall; Albert Hsiao; Daniel Golden (DLMIA/ML-CDS@MICCAI, 2017)

Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers. - Alfredo Lucas; Kang Wang; Cynthia Santillan; Albert Hsiao; Claude B. Sirlin; Paul M. Murphy (J. Digit. Imaging, 2019)

Expert-Informed, User-Centric Explanations for Machine Learning. - Michael J. Pazzani; Severine Soltani; Robert A. Kaufman; Samson Qian; Albert Hsiao (AAAI, 2022)

Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers. - Justin Huynh; Samira Masoudi; Abraham Noorbakhsh; Kyle Hasenstab; Michael J. Pazzani; Albert Hsiao (MIDL, 2022)

Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers. - Justin Huynh; Samira Masoudi; Abraham Noorbakhsh; Amin Mahmoodi; Seth Kligerman; Andrew Yen; Kathleen Jacobs; Lewis Hahn; Kyle Hasenstab; Michael J. Pazzani; Albert Hsiao (IEEE Access, 2022)

Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. - Audrey Ha; Bao H. Do; Adam L. Bartret; Charles X. Fang; Albert Hsiao; Amelie M. Lutz; Imon Banerjee; Geoffrey M. Riley; Daniel L. Rubin; Kathryn J. Stevens; Erin Wang; Shannon Wang; et al. (J. Digit. Imaging, 2022)

Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features. - Kyle Hasenstab; Justin Huynh; Samira Masoudi; Guilherme M. Cunha; Michael J. Pazzani; Albert Hsiao (IEEE Access, 2023)

Cardiac Phase Estimation Using Deep Learning Analysis of Pulsed-Mode Projections: Toward Autonomous Cardiac CT Imaging. - Pengwei Wu; E. Haneda; Jed D. Pack; I. Heukensfeldt Jansen; Albert Hsiao; Elliot R. McVeigh; Bruno De Man (IEEE Trans. Medical Imaging, 2025)