Annegreet van Opbroek
About
Annegreet van Opbroek has authored 9 papers that have received a total of 310 indexed citations.
This includes 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. The topics of these papers are Medical Image Segmentation Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Brain Tumor Detection and Classification (2 papers). Annegreet van Opbroek is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Brain Tumor Detection and Classification (2 papers) and collaborates with scholars based in The Netherlands, Denmark and France. Annegreet van Opbroek's co-authors include Marleen de Bruijne, Meike W. Vernooij, M. Arfan Ikram, Wiro J. Niessen and Francesco Mattace‐Raso and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Optical Engineering
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