Christian Lucas
Christian Lucas
Developer @ Bruker SPR R&D
Verified email at - Homepage
Cited by
Cited by
Isles 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral mri
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in Neurology 9, 2018
Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge
A Hakim, S Christensen, S Winzeck, MG Lansberg, MW Parsons, C Lucas, ...
Stroke, STROKEAHA. 120.030696, 2021
Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations
C Lucas, A Kemmling, N Bouteldja, LF Aulmann, AM Mamlouk, ...
Frontiers in Neurology 9, 2018
A semi-automated algorithm for hypothalamus volumetry in 3 Tesla magnetic resonance images
J Wolff, S Schindler, C Lucas, AS Binninger, L Weinrich, J Schreiber, ...
Psychiatry Research: Neuroimaging 277, 45-51, 2018
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images
C Lucas, A Kemmling, AM Mamlouk, MP Heinrich
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018
Automatic detection and segmentation of the acute vessel thrombus in cerebral CT
C Lucas, JJ Schöttler, A Kemmling, LF Aulmann, MP Heinrich
Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019
Shallow fully-connected neural networks for ischemic stroke-lesion segmentation in MRI
C Lucas, O Maier, MP Heinrich
Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017
Estimation of the principal ischaemic stroke growth directions for predicting tissue outcomes
C Lucas, LF Aulmann, A Kemmling, AM Mamlouk, MP Heinrich
BrainLes 2019: International MICCAI Brainlesion Workshop Held in Conjunction …, 2019
Metadata schema to support FAIR data in scanning electron microscopy
R Joseph, A Chauhan, C Eschke, AZ Ihsan, M Jalali, U Jäntsch, N Jung, ...
Supplementary Proceedings of the XXIII International Conference on Data …, 2021
Deep Learning für die Verlaufsvorhersage von Schlaganfallläsionen mittels multivariater CT-Bilder
C Lucas
Institut für Medizinische Informatik, Universität zu Lübeck, 2020
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