USC.edu
Are You a Patient?

Phillip Ming-Da Cheng, MD

Professor of Clinical Radiology, Medical Director, Radiology - Norris Hospital

Image of Phillip Ming-Da Cheng, MD
Websites
Is this your profile? Click to edit
Phone +1 323 865 3203
Email [email protected]
Orcid ID CTSI Profile

Overview

I am a radiologist at the Keck School of Medicine of USC and Norris Comprehensive Cancer Center. My primary clinical interests and responsibilities are in abdominal imaging and image-guided interventions.

My research interests involve machine learning and informatics applied to problems in radiology.

Research Keywords

  • abdominal imaging and interventions
  • imaging informatics
  • machine learning

Media

Publications

  • Deep Learning: An Update for Radiologists. Radiographics. 2021 Sep-Oct; 41(5):1427-1445.. View in PubMed
  • Tackling the Radiological Society of North America Pneumonia Detection Challenge. AJR Am J Roentgenol. 2019 09; 213(3):568-574.. View in PubMed
  • Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers. AJR Am J Roentgenol. 2019 03; 212(3):513-519.. View in PubMed
  • Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography. AJR Am J Roentgenol. 2019 02; 212(2):342-350.. View in PubMed
  • Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network. AJR Am J Roentgenol. 2018 12; 211(6):1361-1368.. View in PubMed
  • Acute eosinophilic appendicitis: a radiologic-pathologic correlation. Clin Imaging. 2018 Sep – Oct; 51:337-340.. View in PubMed
  • Qualitative Reporting of Lesion Number: Do Radiologists and Referring Physicians Understand Each Other? J Am Coll Radiol. 2018 Aug; 15(8):1178-1181. England JR, Cheng PM , Romero M . View in PubMed
  • Detection of high-grade small bowel obstruction on conventional radiography with convolutional neural networks. Abdom Radiol (NY). 2018 05; 43(5):1120-1127.. View in PubMed
  • Deep Learning: A Primer for Radiologists. Radiographics. 2017 Nov-Dec; 37(7):2113-2131.. View in PubMed
  • Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images. J Digit Imaging. 2017 04; 30(2):234-243.. View in PubMed

Similar People