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
URLs
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).
Publications
Chow, D, Glavis-Bloom J, Soun J, Weinberg B, Loveless TB, Xie X, Mutasa S, Monuki A Park J, Bota D, Wu J, Thompson L, Boden-Albala B, Khan s, Amin A, Chang P. (2020 Dec) Development and external validation of a prognostic tool for COVID-19 critical disease. PLOS ONE 15(12): e0242953. https://doi.org/10.1371/journal.pone.0242953

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.

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.

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.

For full list of publications, please click on the link above.
Research Center
Center for Artificial Intelligence in Diagnostic Medicine (CAIDM)
Last updated
02/22/2021