Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method

Autor: Baskaran, Lohendran, Maliakal, Gabriel, Al'Aref, Subhi J., Singh, Gurpreet, Xu, Zhuoran, Michalak, Kelly, Dolan, Kristina, Gianni, Umberto, van Rosendael, Alexander, van den Hoogen, Inge, Han, Donghee, Stuijfzand, Wijnand, Pandey, Mohit, Lee, Benjamin C., Lin, Fay, Pontone, Gianluca, Knaapen, Paul, Marques, Hugo, Bax, Jeroen, Berman, Daniel, Chang, Hyuk-Jae, Shaw, Leslee J., Min, James K.

Publikováno v: JACC: Cardiovascular Imaging, 13(5), 1163-1171
JACC: Cardiovascular Imaging, 13(5), 1163-1171. ELSEVIER SCIENCE INC
Baskaran, L, Maliakal, G, Al'Aref, S J, Singh, G, Xu, Z, Michalak, K, Dolan, K, Gianni, U, van Rosendael, A, van den Hoogen, I, Han, D, Stuijfzand, W, Pandey, M, Lee, B C, Lin, F, Pontone, G, Knaapen, P, Marques, H, Bax, J, Berman, D, Chang, H-J, Shaw, L J & Min, J K 2020, ' Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method ', JACC: Cardiovascular Imaging, vol. 13, no. 5, pp. 1163-1171 . https://doi.org/10.1016/j.jcmg.2019.08.025

OBJECTIVES This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.BACKGROUND Segmentation of cardiac structures from coronary computed tomography angiography (CCTA) images is laborious. We d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::8c42a51b7985062d844879e1b226b6f7
https://research.vumc.nl/en/publications/d414e5ab-a30c-4380-bb29-70a867d68ccf

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Abstract 13842: Comparing a Novel Machine Learning Method to the Martin-Hopkins Equation for Low-Density Lipoprotein Cholesterol Estimation for Levels Below 70 Mg/dl

Autor: Hussain, Yasin, Singh, Gupreet, Xu, Zhuoran, Sholle, Evan, Michalak, Kelly, Dolan, Kristina, Maliakal, Gabriel, Pandey, Mohit, Lee, Benjamin, Rosendael, Alexander v, Baskaran, Lohendran, Min, James K, Shaw, Leslee, Alaref, Subhi

Publikováno v: Circulation (Ovid); November 2019, Vol. 140 Issue: Supplement 1 pA13842-A13842, 1p

Identification and Quantification of Cardiovascular Structures From CCTA: An End-to-End, Rapid, Pixel-Wise, Deep-Learning Method.

Autor: Baskaran L; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York; Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York; Department of Cardiovascular Medicine, National Heart Centre, Singapore. Electronic address: lob2008@med.cornell.edu., Maliakal G; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Al'Aref SJ; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York; Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York., Singh G; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Xu Z; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Michalak K; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Dolan K; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Gianni U; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., van Rosendael A; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., van den Hoogen I; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Han D; Department of Imaging, Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute, Los Angeles, California., Stuijfzand W; Department of Cardiology, Amsterdam UMC, Location VU University Medical Center, Amsterdam, the Netherlands., Pandey M; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Lee BC; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York., Lin F; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York; Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York., Pontone G; Centro Cardiologico Monzino, IRCCS, Milan, Italy., Knaapen P; Department of Cardiology, Amsterdam UMC, Location VU University Medical Center, Amsterdam, the Netherlands., Marques H; UNICA, Cardiac CT and MRI Unit, Hospital da Luz, Lisbon, Portugal., Bax J; Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, the Netherlands., Berman D; Department of Imaging, Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute, Los Angeles, California., Chang HJ; Division of Cardiology, Severance Cardiovascular Hospital, Integrative Cardiovascular Imaging Center, Yonsei University College of Medicine, Seoul, South Korea., Shaw LJ; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York; Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York., Min JK; Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, New York; Department of Radiology, New York-Presbyterian Hospital and Weill Cornell Medicine, New York, New York.

Publikováno v: JACC. Cardiovascular imaging [JACC Cardiovasc Imaging] 2020 May; Vol. 13 (5), pp. 1163-1171. Date of Electronic Publication: 2019 Oct 11.