Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jixi, Shi"'
Autor:
Zhihao Chen, Jixi Shi, Thibaut Pommier, Yves Cottin, Michel Salomon, Thomas Decourselle, Alain Lalande, Raphaël Couturier
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
This study proposes machine learning-based models to automatically evaluate the severity of myocardial infarction (MI) from physiological, clinical, and paraclinical features. Two types of machine learning models are investigated for the MI assessmen
Externí odkaz:
https://doaj.org/article/b85792f64131402dacb35be8bcbd0e9e
Autor:
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau
Publikováno v:
Lalande, A, Chen, Z, Pommier, T, Decourselle, T, Qayyum, A, Salomon, M, Ginhac, D, Skandarani, Y, Boucher, A, Brahim, K, de Bruijne, M, Camarasa, R, Correia, T M, Feng, X, Girum, K B, Hennemuth, A, Huellebrand, M, Hussain, R, Ivantsits, M, Ma, J, Meyer, C, Sharma, R, Shi, J, Tsekos, N V, Varela, M, Wang, X, Yang, S, Zhang, H, Zhang, Y, Zhou, Y, Zhuang, X, Couturier, R & Meriaudeau, F 2022, ' Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge ', Medical Image Analysis, vol. 79, 102428, pp. 1-12 . https://doi.org/10.1016/j.media.2022.102428
A key factor for assessing the state of the heart after myocardial infarction (MI) is to measure whether the myocardium segment is viable after reperfusion or revascularization therapy. Delayed enhancement-MRI or DE-MRI, which is performed several mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0ab3ee2bf32e3afdbe4c04f547d72b
http://arxiv.org/abs/2108.04016
http://arxiv.org/abs/2108.04016
Autor:
Zhihao, Chen, Jixi, Shi, Thibaut, Pommier, Yves, Cottin, Michel, Salomon, Thomas, Decourselle, Alain, Lalande, Raphaël, Couturier
Publikováno v:
Frontiers in cardiovascular medicine. 9
This study proposes machine learning-based models to automatically evaluate the severity of myocardial infarction (MI) from physiological, clinical, and paraclinical features. Two types of machine learning models are investigated for the MI assessmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::da3eb2456d4df6932ed2107e3e458eba
https://pubmed.ncbi.nlm.nih.gov/35369326
https://pubmed.ncbi.nlm.nih.gov/35369326
Publikováno v:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges ISBN: 9783030681067
M&Ms and EMIDEC/STACOM@MICCAI
M&Ms and EMIDEC/STACOM@MICCAI
Myocardial infarction is one of the most common cardiovascular diseases. Clinical information and Delayed Enhancement cardiac MRI (DE-MRI) are crucial to diagnose the myocardial infarction. However, some discrepancies can occur between clinical chara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7311d9f66143387dd8b6ae9ecdeda82
https://doi.org/10.1007/978-3-030-68107-4_43
https://doi.org/10.1007/978-3-030-68107-4_43
Autor:
Abdul Qayyum, Zhihao Chen, T. Pommier, Thomas Decourselle, Alain Lalande, Jixi Shi, Michel Salomon, Raphaël Couturier, Gilles Perrot
Publikováno v:
Computerized Medical Imaging and Graphics. 95:102014
Delayed Enhancement cardiac MRI (DE-MRI) has become indispensable for the diagnosis of myocardial diseases. However, to quantify the disease severity, doctors need time to manually annotate the scar and myocardium. To address this issue, in this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2f4da43dfee0d90e54ef4b0ff272dbb
https://doi.org/10.1016/j.compmedimag.2021.102014
https://doi.org/10.1016/j.compmedimag.2021.102014
Autor:
Jixi Shi, Xiaoying Yu
Publikováno v:
Chinese Journal of Geochemistry. 18:372-376
The mechanism and significance of second hydrocarbon-generation from organic matter trapped in fluid inclusions in carbonate rocks are discussed. The types of organic matter and the relationship between them are also reviewed. The organic matter trap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75df8344b5391e423c27bdf8754683a
https://doi.org/10.1007/bf03052912
https://doi.org/10.1007/bf03052912
Publikováno v:
Science in China Series D: Earth Sciences. 40:648-655
Diagenetic research and inclusion observance indicate that there are seven types of inlcusion in the reservoirs in the Qiongdongnan Basin. Based on the fluorescence color, ratio of gas/liquid, formation temperature, salinity and organic component of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3e894dd4f92d1e3b84db36f6f9e70c5
https://doi.org/10.1007/bf02877695
https://doi.org/10.1007/bf02877695
Publikováno v:
Chinese Science Bulletin. 42:1708-1711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd4c0eb89c607712dced117d3604322b
https://doi.org/10.1007/bf02882672
https://doi.org/10.1007/bf02882672
Publikováno v:
Geochemistry. 1:200-217
There are 10 types of tungsten ore deposits in South China: granite, porphyry, volcanic, pegmatite, skarn, greisen, wolframite-quartz ± microcline veins, stratabound, ferberite-quartz veins and placer. Most are chronologically related to Yenshanian
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b428ffc27d6870f06bcb8d03f832c3d8
https://doi.org/10.1007/bf03180330
https://doi.org/10.1007/bf03180330
Autor:
Jixi, Shi, Huayun, Wang
Publikováno v:
Chinese Science Bulletin; Sep99 Supplement 2, Vol. 44, p197, 3p, 4 Charts