Peter M Graffy

发表

Use of Variational Autoencoders with Unsupervised Learning to Detect Incorrect Organ Segmentations at CT.

Ronald M. Summers, Ke Yan, Veit Sandfort, 2021, Radiology. Artificial intelligence.

Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes.

Nathan Lay, Jianhua Yao, Jiamin Liu, 2019, The British journal of radiology.

Quantification of Liver Fat Content With Unenhanced MDCT: Phantom and Clinical Correlation With MRI Proton Density Fat Fraction.

Ke Li, Scott B Reeder, Perry J Pickhardt, 2018, AJR. American journal of roentgenology.

Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.

Jiamin Liu, Daniel C Elton, Yingying Zhu, 2020, Academic radiology.

Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.

Jianhua Yao, Jiamin Liu, Joseph E. Burns, 2019, The British journal of radiology.

Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study.

Jiamin Liu, Ronald M Summers, Veit Sandfort, 2020, The Lancet. Digital health.

Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults.

Timothy J Ziemlewicz, Ronald M Summers, Perry J Pickhardt, 2019, Radiology.

Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.

Ronald M Summers, Veit Sandfort, Perry J Pickhardt, 2019, Radiology.

Multiparametric CT for Noninvasive Staging of Hepatitis C Virus-Related Liver Fibrosis: Correlation With the Histopathologic Fibrosis Score.

Perry J Pickhardt, Adnan Said, Ryan Zea, 2019, AJR. American journal of roentgenology.