This site serves as the home for software development by the laboratory. If you are a lab member, ask Dr. Contijoch for access to private repositories. Otherwise, this site will host code made public.
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Gupta, Kunal et al. "DiFiR-CT: Distance field representation to resolve motion artifacts in computed tomography." Medical Physics. In Press; PMID: 36515381.
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Li, Hui et al. "Deep learning automates detection of wall motion abnormalities via measurement of longitudinal strain from ECG-gated CT images." Front Cardiovasc Med. 2022 Dec 15;9:1009445, doi: 10.3389/fcvm.2022.1009445.
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Chen, Zhennong et al. "Detection of Left Ventricular Wall Motion Abnormalities from Volume Rendering of 4DCT Cardiac Angiograms Using Deep Learning." Front Cardiovasc Med. 2022 Jul 28;9:919751. doi: 10.3389/fcvm.2022.919751.
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Gupta, Kunal et al. “Octree Representation Improves Data Fidelity of Cardiac CT Images and Convolutional Neural Network Semantic Segmentation of Left Atrial and Ventricular Chambers.” Radiology. Artificial intelligence vol. 3,6 e210036. 29 Sep. 2021, doi:10.1148/ryai.2021210036
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Colvert, Brendan et al. “Heart-centered positioning and tailored beam-shaping filtration for reduced radiation dose in coronary artery calcium imaging: A Multi-Ethnic Study of Atherosclerosis (MESA) Study.” Medical physics vol. 48,9 (2021): 4966-4977. doi:10.1002/mp.15106
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Chen, Zhennong et al. “Automated cardiac volume assessment and cardiac long- and short-axis imaging plane prediction from electrocardiogram-gated computed tomography volumes enabled by deep learning.” European heart journal. Digital health vol. 2,2 311-322. 22 Mar. 2021, doi:10.1093/ehjdh/ztab033