Zobrazeno 1 - 10
of 580
pro vyhledávání: '"Sermesant , Maxime"'
Autor:
Wang, Zihao, Yang, Yingyu, Chen, Yuzhou, Yuan, Tingting, Sermesant, Maxime, Delingette, Herve, Wu, Ona
Cross-modality image segmentation aims to segment the target modalities using a method designed in the source modality. Deep generative models can translate the target modality images into the source modality, thus enabling cross-modality segmentatio
Externí odkaz:
http://arxiv.org/abs/2404.01102
Cross-modality data translation has attracted great interest in image computing. Deep generative models (\textit{e.g.}, GANs) show performance improvement in tackling those problems. Nevertheless, as a fundamental challenge in image translation, the
Externí odkaz:
http://arxiv.org/abs/2301.13743
Image registration is an essential but challenging task in medical image computing, especially for echocardiography, where the anatomical structures are relatively noisy compared to other imaging modalities. Traditional (non-learning) registration ap
Externí odkaz:
http://arxiv.org/abs/2211.11687
Autor:
Mill, Jordi, Harrison, Josquin, Legghe, Benoit, Olivares, Andy L., Morales, Xabier, Noailly, Jerome, Iriart, Xavier, Cochet, Hubert, Sermesant, Maxime, Camara, Oscar
Atrial fibrillation (AF) is considered the most common human arrhythmia. Around 99\% of thrombi in non-valvular AF are formed in the left atrial appendage (LAA). Studies suggest that abnormal LAA haemodynamics and the subsequently stagnated flow are
Externí odkaz:
http://arxiv.org/abs/2210.12063
Publikováno v:
International Symposium on Biological Imaging, Apr 2021, Nice, France
In cases of pressure or volume overload, probing cardiac function may be difficult because of the interactions between shape and deformations.In this work, we use the LDDMM framework and parallel transport to estimate and reorient deformations of the
Externí odkaz:
http://arxiv.org/abs/2102.08665
The use of mechanistic models in clinical studies is limited by the lack of multi-modal patients data representing different anatomical and physiological processes. For example, neuroimaging datasets do not provide a sufficient representation of hear
Externí odkaz:
http://arxiv.org/abs/2010.01052
Autor:
Zhuang, Xiahai, Xu, Jiahang, Luo, Xinzhe, Chen, Chen, Ouyang, Cheng, Rueckert, Daniel, Campello, Victor M., Lekadir, Karim, Vesal, Sulaiman, RaviKumar, Nishant, Liu, Yashu, Luo, Gongning, Chen, Jingkun, Li, Hongwei, Ly, Buntheng, Sermesant, Maxime, Roth, Holger, Zhu, Wentao, Wang, Jiexiang, Ding, Xinghao, Wang, Xinyue, Yang, Sen, Li, Lei
Accurate computing, analysis and modeling of the ventricles and myocardium from medical images are important, especially in the diagnosis and treatment management for patients suffering from myocardial infarction (MI). Late gadolinium enhancement (LG
Externí odkaz:
http://arxiv.org/abs/2006.12434
Autor:
Xiong, Zhaohan, Xia, Qing, Hu, Zhiqiang, Huang, Ning, Bian, Cheng, Zheng, Yefeng, Vesal, Sulaiman, Ravikumar, Nishant, Maier, Andreas, Yang, Xin, Heng, Pheng-Ann, Ni, Dong, Li, Caizi, Tong, Qianqian, Si, Weixin, Puybareau, Elodie, Khoudli, Younes, Geraud, Thierry, Chen, Chen, Bai, Wenjia, Rueckert, Daniel, Xu, Lingchao, Zhuang, Xiahai, Luo, Xinzhe, Jia, Shuman, Sermesant, Maxime, Liu, Yashu, Wang, Kuanquan, Borra, Davide, Masci, Alessandro, Corsi, Cristiana, de Vente, Coen, Veta, Mitko, Karim, Rashed, Preetha, Chandrakanth Jayachandran, Engelhardt, Sandy, Qiao, Menyun, Wang, Yuanyuan, Tao, Qian, Nunez-Garcia, Marta, Camara, Oscar, Savioli, Nicolo, Lamata, Pablo, Zhao, Jichao
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment. However, direct segmenta
Externí odkaz:
http://arxiv.org/abs/2004.12314
Autor:
Cedilnik, Nicolas, Pop, Mihaela, Duchateau, Josselin, Sacher, Frédéric, Jaïs, Pierre, Cochet, Hubert, Sermesant, Maxime
Publikováno v:
In JACC: Clinical Electrophysiology December 2023 9(12):2507-2519
Publikováno v:
Geometric Science of Information 2019, Aug 2019, Toulouse, France
In computational anatomy, the statistical analysis of temporal deformations and inter-subject variability relies on shape registration. However, the numerical integration and optimization required in diffeomorphic registration often lead to important
Externí odkaz:
http://arxiv.org/abs/1906.05921