Evaluation of 3-D segmentation algorithms for the identification of luminal and medialadventitial borders in IVUS images. - Jon D. Klingensmith; Raj Shekhar; D. Geoffrey Vince (IEEE Trans. Medical Imaging, 2000)

MRI-based three-dimensional modeling and assessment of epicardial adipose tissue. - Jon D. Klingensmith; Saygin Sop; Maria Fernandez-del-Valle; Sunanda Mitra; Mete Naz; H. Felix Lee (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Segmentation of epicardial adipose tissue in cardiac MRI using deep learning. - Miranda R. Fulton; Amy H. Givan; Maria Fernandez-del-Valle; Jon D. Klingensmith (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

MRI-derived cardiac fat modelling for use in ultrasound tissue labelling and classification. - Colin J. Gibbons; Jon D. Klingensmith (Image Processing, 2022)

Comparison of two-dimensional and three-dimensional U-Net architectures for segmentation of adipose tissue in cardiac magnetic resonance images. - Michaela Kulasekara; Vu Quang Dinh; Maria Fernandez-del-Valle; Jon D. Klingensmith (Medical Biol. Eng. Comput., 2022)

Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms. - Julian Rene Cuellar Buritica; Vu Dinh; Manjula Burri; Julie Roelandts; James Wendling; Jon D. Klingensmith (CoRR, 2025)