Peter Chang

Picture of Peter Chang
Associate Clinical Professor, Radiological Sciences
School of Medicine
Director, Applied Artificial Intelligence Research (A2IR), Institute for Precision Health (IPH)
College of Health Sciences
Co-Director, Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), Radiological Sciences
School of Medicine
Associate Professor, Pathology & Laboratory Medicine
School of Medicine
Associate Professor, Computer Sciences
Donald Bren School of Information and Computer Sciences
Senior Advisor, National Artificial Intelligence Institute (NAII), VA Long Beach Healthcare Systems
Other not listed
MD: Northwestern University Feinberg School of Medicine, Chicago, IL (2012)
Fellowship: University of California, San Francisco, Neuroradiology/T32 Research (2018)
Residency: Columbia University / New York Presbyterian Hospital, Diagnostic Radiology (2017)
Phone: (714) 456-6921
University of California, Irvine
101 The City Drive South
Bldg. 1, Rt. 140
Mail Code: 5005
Orange, CA 92868
Research Interests
Algorithm development, validation, and clinical deployment. Interest in standardizing and evaluating high-quality data sets (e.g. sourcing, annotation, curation, and quality requirements)
Academic Distinctions
May 2020: Academy Advocacy Travel Award
April 2019: Lucien Levy Best Research Article Award
June 2018: Cornelius G. Dyke Memorial Award
June 2018: ISMRM Young Investigator Educational Award
June 2018: SIIM Young Investigator Travel Award
December 2017: Best Scientific Paper – AIMed 2017 Conference
July 2017 – 2018: NIH T32 Research Award EB001631-05
June 2017: Roger A. Bauman Award for Best Paper – SIIM 2017
October 2016: MICCAI 2016 International BRaTS Challenge Winner
April 2016: 2016 AJR/ARRS President’s Award
Schlossman J, Ro D, Salehi S, Chow D, Yu W, Chang PD, Soun JE. Head-to-head comparison of commercial artificial intelligence solutions for detection of large vessel occlusion at a comprehensive stroke center. Front Neurol. 2022 Oct 10;13:1026609. doi: 10.3389/fneur.2022.1026609. PMID: 36299266; PMCID: PMC9588973.

Filppi CG, Chang PD. Beyond the AJR: Deep Learning Enabled Virtual Post-Contrast Imaging for Neuro-oncology. American Journal of Roentgenology. Jan 2022. Accepted manuscript. doi:10.2214/AJR.22.27364

Kara S, Akers JY, Chang PD. Identification and Localization of Endotracheal Tube on Chest Radiographs Using a Cascaded Convolutional Neural Network Approach. Journal of Digital Imaging. 2021 May 23:1-7.

McLouth J, Elstrott S, Chaibi Y, Quenet S, Chang PD, Chow DS, Soun JE. Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion. Frontiers in neurology. 2021 Apr 29;12:655. 14

Houshyar R, Glavis-Bloom J, Bui TL, Chahine C, Bardis MD, Ushinsky A, Liu H, Bhatter P, Lebby E, Fujimoto D, Grant W. Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron Sparing Interventions. Journal of Endourology. 2021 Apr 13(ja).

Ushinsky A, Bardis M, Glavis-Bloom J, Uchio E, Chantaduly C, Nguyentat M, Chow D, Chang PD, Houshyar R. A 3D-2D hybrid U-net convolutional neural network approach to prostate organ segmentation of multiparametric MRI. American Journal of Roentgenology. 2021 Jan 19;216(1):111-6.

Stember JN, Celik H, Gutman D, Swinburne N, Young R, Eskreis-Winkler S, Holodny A, Jambawalikar S, Wood BJ, Chang PD, Krupinski E. Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle. Radiology: Artificial Intelligence. 2020 Nov 11;3(1):e200047.

Zhang Y, Chen JH, Lin Y, Chan S, Zhou J, Chow D, Chang P, Kwong T, Yeh DC, Wang X, Parajuli R, Mehta RS, Wang M, Su MY. Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers. Eur Radiol. 2020 Oct 1. doi: 10.1007/s00330-020-07274-x. Epub ahead of print. PMID: 33001309.

Zhang Y, Chan S, Park VY, Chang KT, Mehta S, Kim MJ, Combs FJ, Chang P, Chow D, Parajuli R, Mehta RS, Lin CY, Chien SH, Chen JH, Su MY. Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images. Acad Radiol. 2020 Dec 11:S1076-6332(20)30676-0. doi: 10.1016/j.acra.2020.12.001. Epub ahead of print. PMID: 33317911.

Chang PD, Chow DS, Alber A, Lin YK, Youn YA. Predictive Values of Location and Volumetric MRI Injury Patterns for Neurodevelopmental Outcomes in Hypoxic-Ischemic Encephalopathy Neonates. Brain Sci. 2020 Dec 16;10(12):991. doi: 10.3390/brainsci10120991. PMID: 33339156; PMCID: PMC7765589.

For full list of publications, please click on the link above.
Professional Societies
American College of Radiology (ACR)
American Society of Functional Neuroradiology (ASFNR)
American Society of Neuroradiology (ASNR)
Society of Imaging Informatics in Medicine (SIIM)
Research Centers
Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)
Last updated