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- Delft University of TechnologyNL3 papers
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- Donders Institute for Brain, Cognition and BehaviourNL1 paper
- École Pour l'Informatique et les Techniques AvancéesFR1 paper
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6 papers · 1 filter
Shift Equivariance in Object Detection
Marco Manfredi, Yu Wang
Robustness to small image translations is a highly desirable property for object detectors. However, recent works have shown that CNN-based classifiers are not shift invariant. It…
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar, Oliver Wang
While Generative Adversarial Networks (GANs) have seen huge successes in image synthesis tasks, they are notoriously difficult to adapt to different datasets, in part due to instab…
Dynamic Adaptation on Non-Stationary Visual Domains
Sindi Shkodrani, Michael Hofmann, Efstratios Gavves
Domain adaptation aims to learn models on a supervised source domain that perform well on an unsupervised target. Prior work has examined domain adaptation in the context of statio…
IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
Ysbrand Galama, Thomas Mensink
We are interested in learning visual representations which allow for 3D manipulations of visual objects based on a single 2D image. We cast this into an image-to-image transformati…
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing +4
Ventricular volume and its progression are known to be linked to several brain diseases such as dementia and schizophrenia. Therefore accurate measurement of ventricle volume is vi…