| Linear reconstruction of perceived images from human brain activity S Schoenmakers, M Barth, T Heskes, M Van Gerven NeuroImage 83, 951-961, 2013 | 151 | 2013 |
| Convolutional neural network-based encoding and decoding of visual object recognition in space and time K Seeliger, M Fritsche, U Güçlü, S Schoenmakers, JM Schoffelen, ... NeuroImage 180, 253-266, 2018 | 128 | 2018 |
| Gaussian mixture models and semantic gating improve reconstructions from human brain activity S Schoenmakers, U Güçlü, M Van Gerven, T Heskes Frontiers in computational neuroscience 8, 173, 2015 | 26 | 2015 |
| Gaussian mixture models improve fMRI-based image reconstruction S Schoenmakers, M van Gerven, T Heskes 2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014 | 6 | 2014 |
| Cnn-based encoding and decoding of visual object recognition in space and time. bioRxiv K Seeliger, M Fritsche, U Güçlü, S Schoenmakers, JM Schoffelen, ... | 5 | 2017 |
| Fast quantification of uncertainty in non-linear diffusion MRI models for artifact detection and more power in group studies RL Harms, FJ Fritz, S Schoenmakers, A Roebroeck bioRxiv, 651547, 2019 | 3 | 2019 |
| Text-to-Image AI as a Catalyst for Semantic Convergence in Creative Collaborations PY Lin, K Andersen, R Schmidt, S Schoenmakers, H Hofmeyer, ... Proceedings of the 2024 ACM Designing Interactive Systems Conference, 2753-2767, 2024 | 1 | 2024 |
| Exploring the Use of Anthropomorphized Gaze and Movement to Signal Intention in an Industrial Robot Arm K Stolle, S Schoenmakers, H Zheng | 1 | 2023 |
| Animal-like Referential Gaze in a Robot Arm improves Human-Robot Collaboration: Going Beyond Humanoid Design MLM Ronckers Eindhoven University of Technology, 2022 | 1 | 2022 |
| Virtual reality to assess visual attraction and perceived interest to daylit scene variations C Karmann, K Chamilothori, S Schoenmakers, B Aydemir, M Andersen 2021 ANFA Symposium: Quantified buildings, quantified self, 2021 | 1 | 2021 |
| Brainreading: Decoding the mental state S Schoenmakers Sl: sn, 2019 | 1 | 2019 |
| Fast and robust quantification of uncertainty in non-linear diffusion MRI models RL Harms, FJ Fritz, S Schoenmakers, A Roebroeck NeuroImage 285, 120496, 2024 | | 2024 |
| Weighted Prompt Engineering: Helpful or Hindering? RPW Schmidt, PY Lin, S Schoenmakers, H Hofmeyer, P Pauwels, ... Holst Memorial Lecture 2023, 2023 | | 2023 |
| Testing the Interaction between Emotion and Attentional Control in the Daily Life of Adults with Attention-Deficit/Hyperactivity Disorder SH Bos | | 2021 |
| Handwritten characters in fMRI ('BRAINS'data set) S Schoenmakers, M Barth, TM Heskes, MAJ van Gerven Radboud Data Repository, 2018 | | 2018 |
| Hidden Markov models for reading words from the human brain S Schoenmakers, T Heskes, M Van Gerven 2015 International Workshop on Pattern Recognition in NeuroImaging, 89-92, 2015 | | 2015 |
| Designing a wheelchair with people’s intuition in mind, a new method P Bos | | |
| Recommendations for Normal Grief Support Using a Mobile-based Intervention S Franken | | |
| Using Color-emotion Association to Influence Emotion Evoked by News Messages on Digital Media Y You | | |
| The effect of dynamical correlation analysis and lag based analysis on data regarding heartbeat synchrony within dyads J Westerink | | |
Marcel van GervenProfessor of Artificial Cognitive Systems, Donders Institute for Brain, Cognition and Behaviour在 donders.ru.nl 的电子邮件经过验证
