Peter Chang

picture of Peter  Chang

Co-Director, Center for Artificial Intelligence in Diagnostic Medicine, Radiological Sciences
School of Medicine

Assistant Professor-in-Residence, Radiological Sciences
School of Medicine

Co-Director, Precision Health through Artificial Intelligence (PHAI)
School of Medicine

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-New York, NY, Diagnostic Radiology, 2017

Phone: 714-456-6921

University of California, Irvine
101 The City Dr. South
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
August 2014: Introduction to Academic Radiology Award/Radiological Society of North America (RSNA, co-sponsor) & American Roentgen Ray Society (ARRS, co-sponsor)
April 2015: 2015 Roentgen Resident Research Award/Radiological Society of North America (RSNA)
May 2015:Roger A. Bauman Award for Best Paper – SIIM 2015
September 2015: Best Scientific Paper – NYMIIS 2015
April 2016: 2016 AJR/ARRS President’s Award/American Journal of Roentgenology
October 2016: MICCAI 2016 International BRaTS Challenge Winner
June 2017: Roger A. Bauman Award for Best Paper – SIIM 2017
July 2017 – 2018: NIH T32 Research Award EB001631-05
December 2017: Best Scientific Paper – AIMed 2017 Conference
June 2018: ISMRM Young Investigator Educational Award
June 2018: Cornelius G. Dyke Memorial Award/American Journal of Neuroradiology
April 2019: Lucien Levy Best Research Article Award
Awards and Honors
April 2019 - Lucien Levy Best Research Article Award
“Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.” Awarded Best Original Research Paper of 2018 by the American Journal of Radiology. (First Author).

May 2020 - Academy Advocacy Travel Award
The Academy for Radiology & Biomedical Imaging Research
Academy’s Council of Early Career Investigators in Imaging (CECI2) Washington, DC.
Zlochower A, Chow DS, Chang P, Khatri D, Boockvar JA, Filippi CG. Deep Learning AI Applications in the Imaging of Glioma. Journal of Magnetic Resonance Imaging. J Magn Reson Imaging. Topics in Magnetic Resonance Imaging 2020 April 29. (PMID: 32271288)
Chang PD, Wong TT, Rasiej MJ. Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear. Journal of Digital Imaging. 2019 March 11. (PMID: 30859341)

Shi L, Zhang Y, Nie K, Sun X, Niu T, Yue N, Kwong T, Chang P, Chow D, Chen JH, Su MY. Machine Learning for Prediction of Chemoradiation Therapy Response in Rectal Cancer Using Pre-Treatment and Mid-Radiation Multi-Parametric MRI. Magnetic Resonance Imaging. 2019 May 3. (PMID: 31059768)

Mojahed D, Chang P, Gan Y, Yao X, Angelini B, Hibshoosh H, Ha R, Hendon CP. Convolutional neural network (CNN) classification of breast cancer in optical coherence tomography (OCT) images. SPIE Digital Library. 2019 May 24. (PMID: 31324579)

Shaver MM, Kohanteb PA, Chiou C, Bardis MD, Chantaduly C, Bota D, Filippi CG, Weinberg B, Grinband J, Chow DS, Chang PD. Optimizing Neuro-oncology Imaging: Deep Learning Approaches in Assessing Gliomas. Cancers. 2019 June:11(6), 829 (PMID: 31207930)

For full list of publications, please click on the link above.
Research Center
Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)
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