309 citations
- Delft University of TechnologyNL3 papers
- Adobe Systems (United States)US1 paper
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL1 paper
- Brigham and Women's HospitalUS1 paper
- Ca' Foscari University of VeniceIT1 paper
- Daegu Gyeongbuk Institute of Science and TechnologyKR1 paper
- Donders Institute for Brain, Cognition and BehaviourNL1 paper
- École Pour l'Informatique et les Techniques AvancéesFR1 paper
- Eindhoven University of TechnologyNL1 paper
- Free University of Bozen-BolzanoIT1 paper
- Google (United States)US1 paper
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5 papers · 1 filter
Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression
Čukić Milena, Stokić Miodrag, Radenković Slavoljub +3
Biomarkers of Major Depressive Disorder(MDD), its phases and forms have long been sought. Research indicates that the complexity measures of the cortical electrical activity (EEG)…
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…
A model-driven approach for a new generation of adaptive libraries
Marco Cianfriglia, Flavio Vella, Cedric Nugteren +2
Efficient high-performance libraries often expose multiple tunable parameters to provide highly optimized routines. These can range from simple loop unroll factors or vector sizes…
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…