Jon D. Klingensmith

Segmentation of epicardial adipose tissue in cardiac MRI using deep learning

Miranda R. Fulton, Amy H. Givan, Maria Fernandez-del-Valle, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

Evaluation of 3-D segmentation algorithms for the identification of luminal and medialadventitial borders in IVUS images

Raj Shekhar, Jon D. Klingensmith, D. Geoffrey Vince, 2000, IEEE Trans. Medical Imaging.

MRI-based three-dimensional modeling and assessment of epicardial adipose tissue

Sunanda Mitra, Jon D. Klingensmith, Maria Fernandez-Del-Valle, 2018, Medical Imaging.

Quantification of coronary arterial plaque volume using 3D reconstructions formed by fusing intravascular ultrasound and biplane angiography

Jon D. Klingensmith, Raj Shekhar, J. Fredrick Cornhill, 1999, Medical Imaging.

Influence of coronary pulsation on volumetric intravascular ultrasound measurements performed without ECG-gating. Validation in vessel segments with minimal disease.

Jon D. Klingensmith, Steven E. Nissen, E. Murat Tuzcu, 2003, The International Journal of Cardiovascular Imaging.

Validation of an automated system for luminal and medial-adventitial border detection in three-dimensional intravascular ultrasound

Jon D. Klingensmith, Steven E. Nissen, E. Murat Tuzcu, 2003, The International Journal of Cardiovascular Imaging.

Lumen Loss in Transplant Coronary Artery Disease Is a Biphasic Process Involving Early Intimal Thickening and Late Constrictive Remodeling Results From a 5-Year Serial Intravascular Ultrasound Study

Gustavo Rincon, Jon D. Klingensmith, Steven E. Nissen, 2001 .