Max A. Viergever
Affiliations: | Utrecht University, Utrecht, Netherlands |
Area:
Medical Image ProcessingWebsite:
https://profs.library.uu.nl/index.php/profrec/getprofdata/2199/2/2/0Google:
"Maximus Alexander Viergever"Bio:
http://resolver.tudelft.nl/uuid:6f71c689-4d51-4e1a-a1c5-fd0d94c78e8c
https://www.genealogy.math.ndsu.nodak.edu/id.php?id=51764
Cross-listing: Computer Science Tree
Parents
Sign in to add mentor| Egbert de Boer | grad student | 1980 | Delft University of Technology (Neurotree) | |
| Joost Jacques Kalker | grad student | 1980 | Delft University of Technology (Computer Science Tree) | |
| (Mechanics of the inner ear: A mathematical approach.) | ||||
Children
Sign in to add trainee| Maarten Jurriaan van der Laan | grad student | 2007 | Utrecht (Physiology Academic Tree) |
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Publications
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| St-Jean S, Viergever MA, Leemans A. (2020) Harmonization of diffusion MRI data sets with adaptive dictionary learning. Human Brain Mapping |
| Bruns S, Wolterink JM, Takx RAP, et al. (2020) Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT. Medical Physics |
| Noothout JMH, De Vos BD, Wolterink JM, et al. (2020) Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images. Ieee Transactions On Medical Imaging |
| St-Jean S, De Luca A, Tax CMW, et al. (2020) Automated characterization of noise distributions in diffusion MRI data. Medical Image Analysis. 65: 101758 |
| Guo F, Leemans A, Viergever MA, et al. (2020) Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data. Neuroimage. 116948 |
| Kunnen B, Beijst C, Lam MGEH, et al. (2020) Comparison of the Biograph Vision and Biograph mCT for quantitative Y PET/CT imaging for radioembolisation. Ejnmmi Physics. 7: 14 |
| Kunnen B, Dietze MMA, Braat AJAT, et al. (2019) Feasibility of imaging Y microspheres at diagnostic activity levels for hepatic radioembolization treatment planning. Medical Physics |
| Khalili N, Turk E, Benders MJNL, et al. (2019) Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks. Neuroimage. Clinical. 24: 102061 |
| Bastiaannet R, van der Velden S, Lam MGEH, et al. (2019) Fast and accurate quantitative determination of the lung shunt fraction in hepatic radioembolization. Physics in Medicine and Biology |
| Florkow MC, Zijlstra F, Willemsen K, et al. (2019) Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels. Magnetic Resonance in Medicine |