Phillip Ming-Da Cheng, MD

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.

• Deep Learning Models Connecting Images and Text: A Primer for Radiologists. Radiographics. 2025 09; 45(9):e240103.. 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
• Correction: Perinephric myxoid pseudotumor of fat: a multimodality imaging case series. Abdom Radiol (NY). 2023 May; 48(5):1831-1839.. 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
• 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.. 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
• Patient Vertical Centering and Correlation with Radiation Output in Adult Abdominopelvic CT. J Digit Imaging. 2016 08; 29(4):428-37.. 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
• 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):1017-32, vii.. 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

• Demetriades, Demetrios
• Toga, Arthur
• Duddalwar, Vinay
• Nayak, Krishna
• Thompson, Paul
• Gholamrezanezhad, Ali
• Inaba, Kenji
• Gill, Inderbir