1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Radboud University NijmegenNL50 papers
- Radboud University Medical CenterNL11 papers
- Delft University of TechnologyNL5 papers
- Donders Centre for NeuroscienceNL4 papers
- Harvard UniversityUS3 papers
- Jülich Aachen Research AllianceDE3 papers
- King's College LondonGB3 papers
- Technical University of MunichDE3 papers
- Bernstein Center for Computational Neuroscience GöttingenDE2 papers
- Brigham and Women's HospitalUS2 papers
- Columbia UniversityUS2 papers
- Eindhoven University of TechnologyNL2 papers
10 papers · 1 filter
Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images
Cristina González-Gonzalo, Bart Liefers, Bram van Ginneken +1
Interpretability of deep learning (DL) systems is gaining attention in medical imaging to increase experts' trust in the obtained predictions and facilitate their integration in cl…
Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models
Micha Heilbron, Benedikt Ehinger, Peter Hagoort +1
Prediction in language has traditionally been studied using simple designs in which neural responses to expected and unexpected words are compared in a categorical fashion. However…
A deep learning model for segmentation of geographic atrophy to study its long-term natural history
Bart Liefers, Johanna M. Colijn, Cristina González-Gonzalo +6
Purpose: To develop and validate a deep learning model for automatic segmentation of geographic atrophy (GA) in color fundus images (CFIs) and its application to study growth rate…
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos, Daniel Oliva, Anja Philippsen +3
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures…
Active inference body perception and action for humanoid robots
Guillermo Oliver, Pablo Lanillos, Gordon Cheng
Providing artificial agents with the same computational models of biological systems is a way to understand how intelligent behaviours may emerge. We present an active inference bo…
Implementing perceptron models with qubits
Roeland Wiersema, H. J. Kappen
We propose a method for learning a quantum probabilistic model of a perceptron. By considering a cross entropy between two density matrices we can learn a model that takes noisy ou…
The nature of the animacy organization in human ventral temporal cortex
Sushrut Thorat, Daria Proklova, Marius V. Peelen
The principles underlying the animacy organization of the ventral temporal cortex (VTC) remain hotly debated, with recent evidence pointing to an animacy continuum rather than a di…
Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration
Cristina González-Gonzalo, Verónica Sánchez-Gutiérrez, Paula Hernández-Martínez +5
Purpose: To validate the performance of a commercially-available, CE-certified deep learning (DL) system, RetCAD v.1.3.0 (Thirona, Nijmegen, The Netherlands), for the joint automat…
Recurrence is required to capture the representational dynamics of the human visual system
Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen +3
The human visual system is an intricate network of brain regions that enables us to recognize the world around us. Despite its abundant lateral and feedback connections, object pro…
DUNEuro -- A software toolbox for forward modeling in bioelectromagnetism
Sophie Schrader, Andreas Westhoff, Maria Carla Piastra +6
Accurate and efficient source analysis in electro- and magnetoencephalography using sophisticated realistic head geometries requires advanced numerical approaches. This paper prese…