J. Chamberlin

发表

Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes.

U. Schoepf, Puneet S. Sharma, J. Burt, 2021, Journal of cardiovascular computed tomography.

Prevalence of Abnormal Coronary Findings on Coronary Computed Tomography Angiography Among Young Adults Presenting With Chest Pain.

J. Burt, C. Wallace, M. O'dell, 2020, Journal of thoracic imaging.

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning

Florin C. Ghesu, J. Burt, Awais Mansoor, 2022, BMC Infectious Diseases.

Improving CT-Derived Fractional Flow Reserve Analysis: A Quality Improvement Initiative

J. Burt, Rebecca J. Leddy, Jeffrey Waltz, 2020, Cureus.

Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation

M. Field, Puneet S. Sharma, J. Burt, 2022, European Radiology.

Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value

U. Schoepf, Puneet S. Sharma, J. Sperl, 2021, BMC Medicine.

Computed Tomography Assessment of Gastric Band Slippage

J. Burt, Vincent Giovagnoli, N. Feranec, 2022, Visceral Medicine.

Multi-Center Follow-up Study to Develop a Classification System Which Differentiates Mucinous Cystic Neoplasm of the Liver and Benign Hepatic Cyst Using Machine Learning.

S. Venkatesh, C. Hajdu, R. Petrocelli, 2021, Academic radiology.

Application of an artificial intelligence ensemble for detection of important secondary findings on lung ventilation and perfusion SPECT-CT.

Carter Smith, U. Schoepf, J. O’Doherty, 2023, Clinical imaging.

The diagnostic value of non-contrast magnetic resonance coronary angiography in the assessment of coronary artery disease: A systematic review and meta-analysis

U. Schoepf, J. Burt, I. Kabakus, 2021, Heliyon.

Deep Learning Model to Quantify Left Atrium Volume on Routine Non-Contrast Chest Ct and Predict Adverse Outcomes

M. Field, U. Schoepf, Puneet S. Sharma, 2021 .

An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality

U. Schoepf, J. O’Doherty, J. Burt, 2022, Academic Radiology.

Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosis

J. Burt, A. Varga-Szemes, I. Kabakus, 2023, The International Journal of Cardiovascular Imaging.

Tumor burden of lung metastases at initial staging in breast cancer patients detected by artificial intelligence as a prognostic tool for precision medicine

U. Schoepf, J. Burt, P. Sahbaee, 2022, Heliyon.