Linear reconstruction of perceived images from human brain activity. - Sanne Schoenmakers; Markus Barth; Tom Heskes; Marcel van Gerven (NeuroImage, 2013)

Gaussian mixture models improve fMRI-based image reconstruction. - Sanne Schoenmakers; Marcel van Gerven; Tom Heskes (PRNI, 2014)

Gaussian mixture models and semantic gating improve reconstructions from human brain activity. - Sanne Schoenmakers; Umut Güçlü; Marcel van Gerven; Tom Heskes (Frontiers Comput. Neurosci., 2014)

Hidden Markov Models for Reading Words from the Human Brain. - Sanne Schoenmakers; Tom Heskes; Marcel van Gerven (PRNI, 2015)

Convolutional neural network-based encoding and decoding of visual object recognition in space and time. - Katja Seeliger; M. Fritsche; Umut Güçlü; Sanne Schoenmakers; Jan-Mathijs Schoffelen; Sander E. Bosch; Marcel van Gerven (NeuroImage, 2018)

Text-to-Image AI as a Catalyst for Semantic Convergence in Creative Collaborations. - Pei-Ying Lin; Kristina Andersen; Ralf Schmidt; Sanne Schoenmakers; Hèrm Hofmeyer; Pieter Pauwels; Wijnand A. IJsselsteijn (Conference on Designing Interactive Systems, 2024)

Informed by Yarns - Proposing Knitting Patterns for Revealing Digital System Activities. - Pei-Ying Lin; Kristina Andersen; Ralf Schmidt; Sanne Schoenmakers; Hèrm Hofmeyer; Pieter Pauwels; Wijnand A. IJsselsteijn (NordiCHI, 2024)

A Bayesian framework for active object recognition, pose estimation and shape transfer learning through touch. - Haodong Zheng; Andrei Jalba; Raymond H. Cuijpers; Wijnand A. IJsselsteijn; Sanne Schoenmakers (CoRR, 2024)

Fast and robust quantification of uncertainty in non-linear diffusion MRI models. - Robbert L. Harms; Francisco J. Fritz; Sanne Schoenmakers; Alard Roebroeck (NeuroImage, 2024)