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个人简介
Fernando Pérez-García is a senior research machine learning engineer at the Biomedical Imaging group of Microsoft Research Cambridge. He holds a PhD in Medical Imaging from the Department of Medical Physics and Biomedical Engineering at University College London, where he developed computational methods to overcome low-data regimes in the context of epilepsy treatment. Prior to this, he was a Research Engineer at the Centre for Neuroimaging Research of the Paris Brain Institute, France, where he worked on the construction of a digital atlas of the human brainstem combining histology and 3D MRI.
His developed framework TorchIO is used as a research tool at numerous hospitals and leading academic institutions in various countries including the UK, US, Switzerland, Germany, France, Russia, China, Korea, Canada, the Netherlands, Sweden, Spain, Italy, Australia, India, Belgium, Singapore, Iran and Pakistan.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
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CoRR (2024)
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Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong,Nicholas Woznitza, Mark Ames Pinnock,Maria Teodora Wetscherek,Cecily Morrison,Hannah Richardson,Fernando Pérez-García,
CoRR (2024)
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Nur Yildirim,Hannah Richardson,Maria T. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock,Stephen Harris,Daniel Coelho de Castro,Shruthi Bannur,Stephanie L. Hyland,Pratik Ghosh,Mercy Ranjit,
CHI '24 Proceedings of the CHI Conference on Human Factors in Computing Systemspp.1-22, (2024)
Medical image analysis (2024): 103207-103207
Shruthi Bannur,Kenza Bouzid,Daniel C. Castro,Anton Schwaighofer,Sam Bond-Taylor,Maximilian Ilse,Fernando Pérez-García,Valentina Salvatelli,Harshita Sharma, Felix Meissen,Mercy Ranjit, Shaury Srivastav,
CoRR (2024)
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CVPR 2023 (2023): 15016-15027
arxiv(2023)
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CoRR (2023): 14414-14445
CoRR (2023)
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作者统计
#Papers: 25
#Citation: 406
H-Index: 7
G-Index: 14
Sociability: 5
Diversity: 2
Activity: 13
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