Yu-Ping Wang

Professor of Biomedical Engineering

(504) 865-5867
School of Science & Engineering
Yu-Ping Wang


Uptown: 535 Lindy Boggs Center
Department of Biomedical Engineering
Tulane University
New Orleans, LA 70118

Courses Taught

BMEN 6830: Intro to Biomedical Imaging & Image Processing

BMEN 3820/6820: Math Analysis Bio Systems

Education & Affiliations

Washington University School of Medicine, St. Louis, 1999-2000 Post-doctoral study in Medical Imaging
Xi'an Jiaotong University, School of Electrical and Information Engineering, P. R. China, 1996 Ph.D. in Communications and Electronic Systems
Xi'an Jiaotong University, Xi'an, Faculty of Science, 1993 P.R. China, M.S. in Computational Mathematics
Tianjin University, Tianjin, P.R. China, 1990 B.S. in Applied Mathematics


The Multiscale Bioimaging and Bioinformatics Laboratory at Tulane University has three research themes: 1. Fundamental research on multiscale signal/image representation and analysis; 2. Multiscale bioimaging analysis from organ and tissue levels to molecular and cellular levels; and 3. Bioinformatics in human genomics and cytogenetics. Currently, we are working on information extraction and integration from multiscale and multimodality genomic imaging data. One of our goals is to bring the biomedical technique into commercial use. We are using a multidisciplinary approach and working closely with computational scientists, statisticians, medical geneticists and industrial engineers at Tulane Medical Center and all over the world.

Selected Publications

Hu W., Meng X., Bai Y., Zhang A., Qu G., Cai B., Zhang G., Wilson T. W., Stephen J.M., Calhoun V. D., Wang Y-P, Interpretable multimodal fusion networks reveal mechanisms of brain cognition, IEEE Transactions on Medical Imaging, Date of Publication: February 08 2021; DOI: 10.1109/TMI.2021.3057635

Zhang G., Cai B., Zhang A., Tu Z., Xiao L., Wilson T. W., Stephen J.M., Calhoun V. D., Wang Y-P, Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model, NeuroImage, Date of Publication: Jul 13, 2022; DOI: 10.1016/j.neuroimage.2022.119451

Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve, SIAM Journal on Mathematics of Data Science, Date of Publication: June 03 2021; DOI: https://doi.org/10.1137/20M1333110

Fang J., Lin D., Schulz S. C., Xu Z., Calhoun V. D., and Wang Y.P. Joint sparse canonical correlation analysis for detecting differential imaging genetics modules, Bioinformatics, vol. 32, pp. 3480-3488, Nov 15 2016. PMCID: PMC5181564

Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Kun Zhang, Tony W Wilson, Julia M Stephen, Vince D Calhoun, Yu-Ping Wang, Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks, IEEE Transactions on Medical Imaging, Date of Publication: Dec 18 2023; PMID: 38109241; DOI: 10.1109/TMI.2023.3343365

Funding Support

NIH/NIGMS R01GM109068, PI: Yu-Ping Wang - 09/01/2014 - 06/30/2019
Integration of Multiscale Genomic Data for Comprehensive Analysis of Complex Diseases

NIH/NIMH R01MH107354, PI: Yu-Ping Wang - 09/24/2015 - 06/30/2019
Integration of fMRI, Genomics, Network and Biological Knowledge
NIH/NIMH R01MH104680, MPI: Yu-Ping Wang, Vince Calhoun, H.W. Deng - 08/01/2014-07/31/2018
Integration of Brain Imaging with Genomic and Epigenomic Data

NIH U19Act AG055373, PI of Bioinformatics core: Yu-Ping Wang - 09/15/2017 - 03/31/2022
Core C: Biostatistics and Bioinformatics Core
NIH 1R56MH124925-01A1, PI: Yu-Ping Wang - 06/01/2021 - 05/31/2023
Integration of brain imaging and multi-omics data for improved diagnosis and prediction of mental disorders