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个人简介
Tamara T. Mueller received the MPhil degree in advanced computer science from the University of Cambridge, in 2018. She is currently working toward the PhD degree with the chair for AI in Medicine and Healthcare, Technical University of Munich. Her main research interests include the application of geometric deep learning to medical imaging tasks and differential privacy of deep learning models - as well as the intersection of both.
研究兴趣
论文共 25 篇作者统计合作学者相似作者
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The Journal of Privacy and Confidentialityno. 1 (2024)
Sophie Starck, Vasiliki Sideri-Lampretsa,Bernhard Kainz,Martin Menten,Tamara Mueller,Daniel Rueckert
arxiv(2024)
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Alexander Ziller, Anneliese Riess, Kristian Schwethelm,Tamara T. Mueller,Daniel Rueckert,Georgios Kaissis
CoRR (2024)
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SHAPE IN MEDICAL IMAGING, SHAPEMI 2023 (2023): 105-117
Tamara T. Mueller,Sophie Starck, Leonhard F. Feiner,Kyriaki-Margarita Bintsi,Daniel Rueckert,Georgios Kaissis
CoRR (2023)
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Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi,Daniel Rueckert,Georgios Kaissis
International Conference on Medical Image Computing and Computer-Assisted Interventionpp.14-26, (2023)
Sophie Starck, Yadunandan Vivekanand Kini, J Ritter,Rickmer Braren,Daniel Rueckert,Tamara M. Mueller
arXiv (Cornell University) (2023)
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Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology Lecture Notes in Computer Science (2023): 64-73
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023 WORKSHOPS (2023): 89-97
Sophie Starck,Vasiliki Sideri-Lampretsa, Jessica J. M. Ritter,Veronika A. Zimmer,Rickmer Braren,Tamara T. Mueller,Daniel Rueckert
Research Square (Research Square) (2023)
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