Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Andriy Myronenko"'
Autor:
Stephanie A. Harmon, Thomas H. Sanford, Sheng Xu, Evrim B. Turkbey, Holger Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Amel Amalou, Maxime Blain, Michael Kassin, Dilara Long, Nicole Varble, Stephanie M. Walker, Ulas Bagci, Anna Maria Ierardi, Elvira Stellato, Guido Giovanni Plensich, Giuseppe Franceschelli, Cristiano Girlando, Giovanni Irmici, Dominic Labella, Dima Hammoud, Ashkan Malayeri, Elizabeth Jones, Ronald M. Summers, Peter L. Choyke, Daguang Xu, Mona Flores, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Francesca Patella, Maurizio Cariati, Gianpaolo Carrafiello, Peng An, Bradford J. Wood, Baris Turkbey
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Here, the authors present a multinational study on the application of deep learning algorithms for COVID-19 diagnosis against multiple lun
Externí odkaz:
https://doaj.org/article/6f9c98cf760e4d96a63cb5040206bc04
Autor:
Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Publikováno v:
Medical Image Analysis. 88:102833
In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f007603cdf11b26b77ba6213bfb7b2
https://doi.org/10.1016/j.media.2023.102833
https://doi.org/10.1016/j.media.2023.102833
Autor:
Bradford J. Wood, Ziyue Xu, Holger R. Roth, Andriy Myronenko, Dong Yang, Stephanie Harmon, Daguang Xu, Thomas Sanford, Baris Turkbey, Xiaosong Wang, Ling Zhang
Publikováno v:
IEEE Trans Med Imaging
ecent advances in deep learning for medical image segmentation demonstrate expert-level accuracy.ecent advances in deep learning for medical image segmentation demonstrate expert-level accuracy.R However, application of these models in clinically rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed485aef166e229b727c83601ba80b12
https://doi.org/10.1109/tmi.2020.2973595
https://doi.org/10.1109/tmi.2020.2973595
Autor:
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03386586ccc3d187beee4b0bbbd9c540
http://arxiv.org/abs/2202.06924
http://arxiv.org/abs/2202.06924
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031185229
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1dd10e3e74e2ee5ef8518ce64f2010
https://doi.org/10.1007/978-3-031-18523-6_5
https://doi.org/10.1007/978-3-031-18523-6_5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c19e4dead94042f2287555b5dd502989
https://doi.org/10.1007/978-3-031-16434-7_8
https://doi.org/10.1007/978-3-031-16434-7_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9efc590f768348f6c82bb59ad3b3842
https://doi.org/10.1007/978-3-031-16443-9_54
https://doi.org/10.1007/978-3-031-16443-9_54
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620bf4d90f8e4db26e81f69dc6c782ba
https://doi.org/10.1007/978-3-031-09002-8_15
https://doi.org/10.1007/978-3-031-09002-8_15
Autor:
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona Flores, Jan Kautz, Daguang Xu, Holger Roth
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e4433c528ad67f0b4ebe317cf0550cf
https://doi.org/10.21203/rs.3.rs-1147182/v1
https://doi.org/10.21203/rs.3.rs-1147182/v1
Lesion segmentation in medical imaging has been an important topic in clinical research. Researchers have proposed various detection and segmentation algorithms to address this task. Recently, deep learning-based approaches have significantly improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b924aae349fad1e418e84a3bf12fba0b
http://arxiv.org/abs/2111.07535
http://arxiv.org/abs/2111.07535