Phillip Ming-Da Cheng, MD

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

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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

Publications

  • Liver Transplantation After Prolonged Nab-Sirolimus Therapy for Unresectable Hepatic Perivascular Epithelioid Cell Tumor With Bilobar Involvement. ACG Case Rep J. 2026 Apr; 13(4):e02095.. View in PubMed
  • Safety and efficacy of intratumourally administered INT230-6 in adult patients with advanced solid tumours: results from an open-label phase 1/2 dose escalation study. EBioMedicine. 2025 Nov; 121:105980.. View in PubMed
  • Deep Learning Models Connecting Images and Text: A Primer for Radiologists. Radiographics. 2025 09; 45(9):e240103.. 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
  • 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
  • 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