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Jeannette Hofmeijer
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2020 – today
- 2023
- [c2]Matthew A. Reyna, Edilberto Amorim, Reza Sameni, James Weigle, Andoni Elola, Ali Bahrami Rad, Salman Seyedi, Hyeokhyen Kwon, Wei-Long Zheng, Mohammad M. Ghassemi, Michel J. A. M. van Putten, Jeannette Hofmeijer, Nicolas Gaspard, Adithya Sivaraju, Susan T. Herman, Jong Woo Lee, M. Brandon Westover, Gari D. Clifford:
Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. CinC 2023: 1-4 - 2022
- [j2]Ruisheng Su
, Matthijs van der Sluijs, Sandra A. P. Cornelissen, Geert J. Lycklama, Jeannette Hofmeijer, Charles B. L. M. Majoie, Pieter Jan van Doormaal, Adriaan C. G. M. van Es, Danny Ruijters
Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy. Medical Image Anal. 77: 102377 (2022) - [j1]Wei-Long Zheng
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. IEEE Trans. Biomed. Eng. 69(5): 1813-1825 (2022) - [c1]Vivian van Asperen, Josefien van den Berg, Fleur Lycklama, Victoria Marting, Sandra A. P. Cornelissen, Wim H. van Zwam, Jeannette Hofmeijer, Aad van der Lugt, Theo van Walsum
Automatic artery/vein classification in 2D-DSA images of stroke patients. Image-Guided Procedures 2022
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