Mathilde Bateson
About
Mathilde Bateson has authored 4 papers that have received a total of 110 indexed citations.
This includes 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Domain Adaptation and Few-Shot Learning (2 papers), COVID-19 diagnosis using AI (2 papers) and Advanced Neural Network Applications (2 papers). Mathilde Bateson is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), COVID-19 diagnosis using AI (2 papers) and Advanced Neural Network Applications (2 papers) and collaborates with scholars based in Canada, France and Belgium. Mathilde Bateson's co-authors include Hervé Lombaert, Ismail Ben Ayed, José Dolz, Hoel Kervadec and Cyril Jaudet and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Medical Imaging
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