Daniel Chow

picture of Daniel  Chow

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: University of California, Los Angeles-David Geffen School of Medicine, (2010)
Fellowship: University of California, San Francisco, (2016)
Residency: Columbia University Medical Center-New York, Diagnostic Radiology, (2015)

Phone: (714) 456-6921
Email: chowd3@uci.edu

University of California, Irvine
101 The City Drive South
Rt. 140
Mail Code: 5005
Orange, CA 92868
Academic Distinctions
2017 Teacher of the Year. Department of Radiology, University of California, Irvine.
2017 AIMed Abstract Winner, Medical Imaging & Biomedical Diagnostics Category. Deep Learning for Highly Accurate Detection and Quantification of Intraparenchymal Hemorrhage On Head CT (Senior Author).
2018 Dyke Award. Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Detection on Head CT. American Society of Neuroradiology (Senior Author).
2018 Big Ideas Winner. Precision Health driven through Artificial Intelligence (PHD-AI). Call for proposals by UCI’s Chancellor’s office for “Ideas that are multidisciplinary, ambitious and farreaching so that, with the proper resources, they could have a transformational impact at UCI and beyond.” Selected proposal was received following several rounds of internal review, including input from the UCI Foundation board of trustees, emeriti and retirees, faculty, staff, students and alumni. (Shared with Drs. Peter Chang, Suzanne Sandmeyer, and Leslie Thompson).
2019 Lucien Levy Best Research Article Award for 2018. “Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas.” American Journal of Neuroradiology. (Senior Author).
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)

Montgomery MK, Kim SH, Dovas A, Zhao HT, Goldberg AR, Xu W, Yagielski AJ, Cambareri MK, Patel KB, Mela A, Humala N, Thibodeaux DN, Shaik MA, Ma Y, Grinband J, Chow DS, Schevon C, Canoll P, Hillman EMC. Glioma-Induced Alterations in Neuronal Activity and Neurovascular Coupling during Disease Progression. Cell Rep. 2020 Apr 14;31(2):107500. (PMID: 32294436)
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.

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)

Zhou J, Yang Y, Chang KT, Lee KE, Wang O, Li J, Lin Y, Pan Z, Chang P, Chow D, Wang M, Su MY. Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning with Consideration of Peri-Tumor Tissue. Journal of Magnetic Resonance Imaging. J Magn Reson Imaging. 2019 Nov 1. (PMID: 31675151)

Cho AH, Wadi L, Chow D, Chang P, Floriolli D, Shah K, Paganini-Hill A, Fisher M. Diagnostics (Basel). 2019 Dec 30;10(1). (PMID: 31905954)

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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