Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
2017 · Medical Image Analysis · 1,257 citations
https://doi.org/10.1016/j.media.2017.06.015
J
Jef Vandemeulebroucke
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Jef Vandemeulebroucke is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Medical Imaging Techniques and Applications & Radiomics and Machine Learning in Medical Imaging & Advanced X-ray and CT Imaging. The author has an h-index of 21, co-authored 129 publications.
ORCID: 0000-0001-5714-3254Papers by this author
worksThe effect of augmented reality on the accuracy and learning curve of external ventricular drain placement
2021 · Neurosurgical FOCUS · 64 citations
https://doi.org/10.3171/2021.5.focus21215
<i>MedShapeNet</i> – a large-scale dataset of 3D medical shapes for computer vision
2024 · Biomedizinische Technik/Biomedical Engineering · 27 citations
https://doi.org/10.1515/bmt-2024-0396
Ventilation heterogeneity in smokers: role of unequal lung expansion and peripheral lung structure
2020 · Journal of Applied Physiology · 17 citations
https://doi.org/10.1152/japplphysiol.00105.2020
Computer-vision based analysis of the neurosurgical scene – A systematic review
2023 · Brain and Spine · 14 citations
https://doi.org/10.1016/j.bas.2023.102706
Automated Motion Analysis of Bony Joint Structures from Dynamic Computer Tomography Images: A Multi-Atlas Approach
2021 · Diagnostics · 9 citations
https://doi.org/10.3390/diagnostics11112062
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