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Juan Camilo Montoya
Graduate Student at Univ of Wisconsin-Madison
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Publications (5)
Proceedings Article | 16 March 2020 Paper
Quantitative blood flow imaging with time-resolved C-arm cone-beam CT imaging
John Garrett, Yinsheng Li, Juan Montoya, Yijing Wu, Ke Li, Charles Strother, Guang-Hong Chen
Proceedings Volume 11312, 113123G (2020) https://doi.org/10.1117/12.2548516
KEYWORDS: Blood circulation, Data acquisition, Angiography, Computed tomography, Temporal resolution, Human subjects, Numerical simulations, Diagnostics, Imaging systems, Image enhancement
Proceedings Article | 14 March 2019 Presentation
Patient-specific noise power spectrum measurement via generative adversarial networks (Conference Presentation)
Chengzhu Zhang, Daniel Gomez-Cardona, Yinsheng Li, Juan Montoya, Guang-hong Chen
Proceedings Volume 10948, 109480I (2019) https://doi.org/10.1117/12.2513207
KEYWORDS: Statistical methods
Proceedings Article | 14 March 2019 Presentation
Volumetric scout CT images reconstructed from conventional two-view radiograph localizers using deep learning (Conference Presentation)
Proceedings Volume 10948, 1094825 (2019) https://doi.org/10.1117/12.2513133
KEYWORDS: Computed tomography, Radiography, Neural networks, CT reconstruction, 3D modeling, 3D metrology, Diagnostics, 3D image processing, 3D image reconstruction, 3D imaging standards
Proceedings Article | 7 March 2019 Presentation + Paper
Image reconstruction from fully-truncated and sparsely-sampled line integrals using iCT-Net
Proceedings Volume 10948, 109480S (2019) https://doi.org/10.1117/12.2513088
KEYWORDS: Data acquisition, Image restoration, Image processing, Human subjects, Computed tomography, Data processing, X-ray computed tomography, Scanners, Lithium, Medical diagnostics
Proceedings Article | 9 March 2018 Presentation + Paper
Deep learning angiography (DLA): three-dimensional C-arm cone beam CT angiography generated from deep learning method using a convolutional neural network
Proceedings Volume 10573, 105731N (2018) https://doi.org/10.1117/12.2293985
KEYWORDS: Machine learning, Artificial intelligence, X-ray imaging, Image segmentation, Cerebral aneurysms, Angiography, Tissues, Neural networks, Data modeling, Bone, Convolutional neural networks, Computed tomography, Image classification, Arteries
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