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ORCIDJon D. Klingensmith
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2020 – today
- 2022
[j2]Michaela Kulasekara, Vu Quang Dinh, Maria Fernandez-del-Valle
, Jon D. Klingensmith:
Comparison of two-dimensional and three-dimensional U-Net architectures for segmentation of adipose tissue in cardiac magnetic resonance images. Medical Biol. Eng. Comput. 60(8): 2291-2306 (2022)- [c3]Colin J. Gibbons, Jon D. Klingensmith:
MRI-derived cardiac fat modelling for use in ultrasound tissue labelling and classification. Image Processing 2022 - 2020
- [c2]Miranda R. Fulton, Amy H. Givan, Maria Fernandez-del-Valle, Jon D. Klingensmith:
Segmentation of epicardial adipose tissue in cardiac MRI using deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170Q
2010 – 2019
- 2018
- [c1]Jon D. Klingensmith, Saygin Sop, Maria Fernandez-del-Valle, Sunanda Mitra, Mete Naz, H. Felix Lee:
MRI-based three-dimensional modeling and assessment of epicardial adipose tissue. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781P
2000 – 2009
- 2000
- [j1]Jon D. Klingensmith, Raj Shekhar, D. Geoffrey Vince:
Evaluation of 3-D segmentation algorithms for the identification of luminal and medialadventitial borders in IVUS images. IEEE Trans. Medical Imaging 19(10): 996-1011 (2000)
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