Phillip Ming-Da Cheng, MD

Associate Professor of Clinical Radiology

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I am a body 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. See my research website below for further details.


  • Correction: Perinephric myxoid pseudotumor of fat: a multimodality imaging case series Abdom Radiol (NY). 2023 May; 48(5):1831-1839. . View in PubMed
  • Perinephric myxoid pseudotumor of fat: a multimodality imaging case series Abdom Radiol (NY). 2023 05; 48(5):1820-1830. . View in PubMed
  • Localized Multifocal Retroperitoneal Ganglioneuroma with an Infiltrative Appearance on Imaging: A Case Report Case Rep Oncol. 2023 Jan-Dec; 16(1):1142-1147. . View in PubMed
  • Feminizing Adrenocortical Tumor with Multiple Recurrences: A Case Report Case Rep Oncol. 2023 Jan-Dec; 16(1):1033-1040. . View in PubMed
  • Pancreatic schwannoma: Case report, clinico-pathologic correlation, and review of the literature Radiol Case Rep. 2022 Oct; 17(10):3504-3510. . View in PubMed
  • Bigram frequency analysis for detection of radiology report errors Clin Imaging. 2022 Sep; 89:84-88. . View in PubMed
  • Predicting Perceived Reporting Complexity of Abdominopelvic Computed Tomography With Deep Learning J Comput Assist Tomogr. 2022 Jul-Aug 01; 46(4):499-504. . View in PubMed
  • 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
  • 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.. 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
  • 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
  • Active Surveillance of Small Renal Masses: A Review on the Role of Imaging With a Focus on Growth Rate J Comput Assist Tomogr. 2016 Jul-Aug; 40(4):517-23. . View in PubMed
  • Histogram-Based Discrimination of Intravenous Contrast in Abdominopelvic Computed Tomography J Comput Assist Tomogr. 2016 Mar-Apr; 40(2):234-7. . View in PubMed
  • The 3D EdgeRunner Pipeline: A Novel Shape-Based Analysis for Neoplasms Characterization Proc SPIE Int Soc Opt Eng. 2016 Feb-Mar; 9788. . View in PubMed
  • Patient Vertical Centering and Correlation with Radiation Output in Adult Abdominopelvic CT J Digit Imaging. 2016 08; 29(4):428-37. . View in PubMed
  • Quantitative assessment of solid renal masses by contrast-enhanced ultrasound with time-intensity curves: how we do it Abdom Imaging. 2015 Oct; 40(7):2461-71. . View in PubMed
  • Pulmonary pseudoemboli: a new artifact arising from a commercial metal artifact reduction algorithm for computed tomographic image reconstruction J Comput Assist Tomogr. 2014 Mar-Apr; 38(2):159-62. . View in PubMed
  • Automated pediatric abdominal effective diameter measurements versus age-predicted body size for normalization of CT dose J Digit Imaging. 2013 Dec; 26(6):1151-5. . View in PubMed
  • Automated estimation of abdominal effective diameter for body size normalization of CT dose J Digit Imaging. 2013 Jun; 26(3):406-11. . View in PubMed
  • Complete tumor encapsulation on magnetic resonance imaging: a potentially useful imaging biomarker for better survival in solitary large hepatocellular carcinoma Liver Transpl. 2013 Mar; 19(3):283-91. . View in PubMed
  • What the radiologist needs to know about urolithiasis: part 1–pathogenesis, types, assessment, and variant anatomy AJR Am J Roentgenol. 2012 Jun; 198(6):W540-7. . View in PubMed
  • What the radiologist needs to know about urolithiasis: part 2–CT findings, reporting, and treatment AJR Am J Roentgenol. 2012 Jun; 198(6):W548-54. . View in PubMed
  • Logistic regression analysis of MR fetal lung volume Radiology. 2009 Mar; 250(3):957; author reply 957. . View in PubMed
  • Superior sensitivity of angiographic detection of arteriovenous fistula after biopsy in a renal allograft with CO2 compared with iodinated contrast medium J Vasc Interv Radiol. 2006 Dec; 17(12):1963-6. . View in PubMed
  • PET/CT scanner instrumentation, challenges, and solutions Radiol Clin North Am. 2004 Nov; 42(6):1017-32vii. . View in PubMed
  • Relationship between changes of glomus cell current and neural response of rat carotid body J Neurophysiol. 1995 Nov; 74(5):2077-86. . View in PubMed