Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning

A Two‐Stage Deep Learning Model for Fully Automated Pancreas Segmentation on Computed Tomography: Comparison with Intra‐Reader and Inter‐Reader Reliability at Full and Reduced Radiation Dose on an External Dataset

(2021) Ananya Panda et al.   MEDICAL PHYSICS

Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value

(2021) Perry J. Pickhardt et al.   RADIOGRAPHICS

Screening for Prediabetes and Type 2 Diabetes

(2021) et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Opportunistic Screening for Metabolic Syndrome in Asymptomatic Adults Utilizing Fully Automated Abdominal CT-based Biomarkers

(2020) Perry J. Pickhardt et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Patients with type 2 diabetes present with multiple anomalies of the pancreatic arterial tree on abdominal computed tomography: comparison between patients with type 2 diabetes and a matched control group

(2020) Laure Alexandre-Heymann et al.   Cardiovascular Diabetology

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

(2020) Ronald M. Summers et al.   ACADEMIC RADIOLOGY

2-year remission of type 2 diabetes and pancreas morphology: a post-hoc analysis of the DiRECT open-label, cluster-randomised trial

(2020) Ahmad Al-Mrabeh et al.   Lancet Diabetes & Endocrinology

Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast

(2020) Alberto A. Perez et al.   Abdominal Radiology

Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase

(2020) Garima Suman et al.   Abdominal Radiology

Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT

(2019) Mohammad Hadi Bagheri et al.   ACADEMIC RADIOLOGY

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

Pancreas volume in health and disease: a systematic review and meta-analysis

(2018) Steve V. DeSouza et al.   Expert Review of Gastroenterology & Hepatology

Does Nonenhanced CT-based Quantification of Abdominal Aortic Calcification Outperform the Framingham Risk Score in Predicting Cardiovascular Events in Asymptomatic Adults?

(2018) Stacy D. O’Connor et al.   RADIOLOGY

Pancreatic size and fat content in diabetes: A systematic review and meta-analysis of imaging studies

(2017) Tiago Severo Garcia et al.   PLoS One

Relative muscle mass and the risk of incident type 2 diabetes: A cohort study

(2017) Sungwoo Hong et al.   PLoS One

A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study

(2017) Jinshan Wu et al.   Scientific Reports

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

(2016) Zhoubing Xu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Global estimates of undiagnosed diabetes in adults

(2013) Jessica Beagley et al.   DIABETES RESEARCH AND CLINICAL PRACTICE