| LabVanced: A Unified JavaScript Framework for Online Studies H Finger, C Goeke, D Diekamp, K Standvoß, P König International Conference on Computational Social Science, 2017 | 180 | 2017 |
| Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks K Standvoss, T Crijns, L Goerke, D Janssen, S Kern, T van Niedek, ... Medical imaging 2018: computer-aided diagnosis 10575, 314-321, 2018 | 17 | 2018 |
| Encoding and decoding dynamic sensory signals with recurrent neural networks: An application of conceptors to birdsongs R Gast, P Faion, K Standvoss, A Suckro, B Lewis, G Pipa bioRxiv, 131052, 2017 | 7 | 2017 |
| Sensory processing in humans and mice fluctuates between external and internal modes V Weilnhammer, H Stuke, K Standvoss, P Sterzer PLoS Biology 21 (12), e3002410, 2023 | 6 | 2023 |
| Taking shortcuts: Great for travel, but not for reproducible methods sections K Standvoss, V Kazezian, BR Lewke, K Bastian, S Chidambaram, S Arafat, ... bioRxiv, 2022.08. 08.503174, 2022 | 5 | 2022 |
| Humans and mice fluctuate between external and internal modes of sensory processing V Weilnhammer, H Stuke, AL Eckert, K Standvoss, P Sterzer bioRxiv, 2021 | 5* | 2021 |
| Visual attention through uncertainty minimization in recurrent generative models K Standvoss, SC Quax, MAJ van Gerven BioRxiv, 2020.02. 14.948992, 2020 | 5 | 2020 |
| Diffinfinite: Large mask-image synthesis via parallel random patch diffusion in histopathology M Aversa, G Nobis, M Hägele, K Standvoss, M Chirica, R Murray-Smith, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Discourse Embellishment Using a Deep Encoder-Decoder Network L Berov, K Standvoss Computational Creativity and Natural Language Generation, 2018 | 3 | 2018 |
| Uncertainty through Sampling: The Correspondence of Monte Carlo Dropout and Spiking in Artificial Neural Networks K Standvoss, L Grossberger Conference on Cognitive Computational Neuroscience, 2019 | 2 | 2019 |
| Shortcut citations in the methods section: Frequency, problems, and strategies for responsible reuse K Standvoss, V Kazezian, BR Lewke, K Bastian, S Chidambaram, S Arafat, ... Plos Biology 22 (4), e3002562, 2024 | | 2024 |
| AI-driven, mIF-based cell-omics reveals spatially resolved cell signature for outcome prediction in NSCLC patients S Schallenberg, G Dernbach, S Ruane, C Böhm, L Ruff, K Standvoss, ... Cancer Research 84 (6_Supplement), 5222-5222, 2024 | | 2024 |
| TTF-1 status in early-stage lung adenocarcinoma is an independent predictor of relapse and survival superior to tumor grading S Schallenberg, G Dernbach, MP Dragomir, G Schlachtenberger, ... European Journal of Cancer 197, 113474, 2024 | | 2024 |
| 970 Multiplex-immunofluorescence-based spatial characterization of the tumor-microenvironment of a large bicentric clinical non-small cell lung cancer cohort S Schallenberg, G Dernbach, S Ruane, C Böhm, L Ruff, K Standvoss, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| What just happend? Using a volatile Kalman filter to predict perceptual history biases K Standvoss, M Guggenmos, P Sterzer PERCEPTION 50 (1_ SUPPL), 12-12, 2021 | | 2021 |
| Task-Dependent Attention Allocation through Uncertainty Minimization in Deep Recurrent Generative Models K Standvoss, S Quax, M van Gerven Conference on Cognitive Computational Neuroscience, 2019 | | 2019 |
| Probabilistic Modeling of Perception and Cognition S Höffner, L Goerke, A Suckro, V Churavy, K Standvoss, JDF Jäkel | | |
Lisa GoerkeRadboud UniversityGeverifieerd e-mailadres voor student.ru.nl
