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Sanne Schoenmakers
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2020 – today
- 2024
- [j4]Robbert L. Harms
, Francisco J. Fritz
Fast and robust quantification of uncertainty in non-linear diffusion MRI models. NeuroImage 285: 120496 (2024) - [c4]Pei-Ying Lin
Text-to-Image AI as a Catalyst for Semantic Convergence in Creative Collaborations. Conference on Designing Interactive Systems 2024 - [c3]Pei-Ying Lin
Informed by Yarns - Proposing Knitting Patterns for Revealing Digital System Activities. NordiCHI 2024: 5:1-5:16 - [i1]Haodong Zheng, Andrei Jalba, Raymond H. Cuijpers, Wijnand A. IJsselsteijn, Sanne Schoenmakers:
A Bayesian framework for active object recognition, pose estimation and shape transfer learning through touch. CoRR abs/2409.06912 (2024)
2010 – 2019
- 2018
- [j3]Katja Seeliger
Convolutional neural network-based encoding and decoding of visual object recognition in space and time. NeuroImage 180(Part): 253-266 (2018) - 2015
- [c2]Sanne Schoenmakers
Hidden Markov Models for Reading Words from the Human Brain. PRNI 2015: 89-92 - 2014
- [j2]Sanne Schoenmakers
Gaussian mixture models and semantic gating improve reconstructions from human brain activity. Frontiers Comput. Neurosci. 8: 173 (2014) - [c1]Sanne Schoenmakers
Gaussian mixture models improve fMRI-based image reconstruction. PRNI 2014: 1-4 - 2013
- [j1]Sanne Schoenmakers
Linear reconstruction of perceived images from human brain activity. NeuroImage 83: 951-961 (2013)
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