Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Hussain, Raabid"'
Autor:
Lalande, Alain, Chen, Zhihao, Pommier, Thibaut, Decourselle, Thomas, Qayyum, Abdul, Salomon, Michel, Ginhac, Dominique, Skandarani, Youssef, Boucher, Arnaud, Brahim, Khawla, de Bruijne, Marleen, Camarasa, Robin, Correia, Teresa M., Feng, Xue, Girum, Kibrom B., Hennemuth, Anja, Huellebrand, Markus, Hussain, Raabid, Ivantsits, Matthias, Ma, Jun, Meyer, Craig, Sharma, Rishabh, Shi, Jixi, Tsekos, Nikolaos V., Varela, Marta, Wang, Xiyue, Yang, Sen, Zhang, Hannu, Zhang, Yichi, Zhou, Yuncheng, Zhuang, Xiahai, Couturier, Raphael, Meriaudeau, Fabrice
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:
http://arxiv.org/abs/2108.04016
Autor:
Zia, Aneeq, Bhattacharyya, Kiran, Liu, Xi, Wang, Ziheng, Kondo, Satoshi, Colleoni, Emanuele, van Amsterdam, Beatrice, Hussain, Razeen, Hussain, Raabid, Maier-Hein, Lena, Stoyanov, Danail, Speidel, Stefanie, Jarc, Anthony
Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications. However, many challenges exist around surgical data (and health data, more generally) needed to develop context-aware models. This work - pres
Externí odkaz:
http://arxiv.org/abs/2102.13644
Autor:
Girum, Kibrom Berihu, Skandarani, Youssef, Hussain, Raabid, Grayeli, Alexis Bozorg, Créhange, Gilles, Lalande, Alain
In this paper, we propose a new deep learning framework for an automatic myocardial infarction evaluation from clinical information and delayed enhancement-MRI (DE-MRI). The proposed framework addresses two tasks. The first task is automatic detectio
Externí odkaz:
http://arxiv.org/abs/2010.16198
Autor:
Girum, Kibrom Berihu, Créhange, Gilles, Hussain, Raabid, Walker, Paul Michael, Lalande, Alain
Deep learning has shown unprecedented success in a variety of applications, such as computer vision and medical image analysis. However, there is still potential to improve segmentation in multimodal images by embedding prior knowledge via learning-b
Externí odkaz:
http://arxiv.org/abs/1910.10542
Autor:
Hussain, Raabid, Lalande, Alain, Girum, Kibrom Berihu, Guigou, Caroline, Grayeli, Alexis Bozorg
Publikováno v:
Surgetica, Jun 2019, Rennes, France
Ear consists of the smallest bones in the human body and does not contain significant amount of distinct landmark points that may be used to register a preoperative CT-scan with the surgical video in an augmented reality framework. Learning based alg
Externí odkaz:
http://arxiv.org/abs/1909.01647
Autor:
Gharleghi, Ramtin, Adikari, Dona, Ellenberger, Katy, Ooi, Sze-Yuan, Ellis, Chris, Chen, Chung-Ming, Gao, Ruochen, He, Yuting, Hussain, Raabid, Lee, Chia-Yen, Li, Jun, Ma, Jun, Nie, Ziwei, Oliveira, Bruno, Qi, Yaolei, Skandarani, Youssef, Vilaça, João L., Wang, Xiyue, Yang, Sen, Sowmya, Arcot, Beier, Susann
Publikováno v:
In Computerized Medical Imaging and Graphics April 2022 97
Autor:
Hussain, Raabid1 (AUTHOR) raui@oticonmedical.com, Frater, Attila1 (AUTHOR), Calixto, Roger1 (AUTHOR), Karoui, Chadlia2 (AUTHOR), Margeta, Jan3 (AUTHOR), Wang, Zihao4 (AUTHOR), Hoen, Michel2 (AUTHOR), Delingette, Herve4 (AUTHOR), Patou, François1 (AUTHOR), Raffaelli, Charles5 (AUTHOR), Vandersteen, Clair5 (AUTHOR), Guevara, Nicolas5 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Jan2023, Vol. 12 Issue 2, p509. 12p.
Autor:
Margeta, Jan1 (AUTHOR) jan@kardio.me, Hussain, Raabid2 (AUTHOR), López Diez, Paula3 (AUTHOR), Morgenstern, Anika4 (AUTHOR), Demarcy, Thomas2 (AUTHOR), Wang, Zihao5 (AUTHOR), Gnansia, Dan2 (AUTHOR), Martinez Manzanera, Octavio2 (AUTHOR), Vandersteen, Clair6 (AUTHOR), Delingette, Hervé5 (AUTHOR), Buechner, Andreas4 (AUTHOR), Lenarz, Thomas4 (AUTHOR), Patou, François2 (AUTHOR), Guevara, Nicolas6 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Nov2022, Vol. 11 Issue 22, p6640. 21p.
Akademický článek
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Autor:
Hussain, Raabid1 raabid.hussain@u-bourgogne.fr, Lalande, Alain1,2, Girum, Kibrom Berihu1, Guigou, Caroline1,3, Bozorg Grayeli, Alexis1,3
Publikováno v:
Scientific Reports. 2/23/2021, Vol. 11 Issue 1, p1-10. 10p.