Performance optimization of ERP-based BCIs using dynamic stopping. - Martijn Schreuder; Johannes Höhne; Matthias Sebastian Treder; Benjamin Blankertz; Michael Tangermann (EMBC, 2011)

Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. - Sven Dähne; Johannes Höhne; Martijn Schreuder; Michael Tangermann (ICANN (1), 2011)

How stimulation speed affects Event-Related Potentials and BCI performance. - Johannes Höhne; Michael Tangermann (EMBC, 2012)

No surprise - fixed sequence event-related potentials for brain-computer interfaces. - Michael Tangermann; Johannes Höhne; Heiko Stecher; Martijn Schreuder (EMBC, 2012)

Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. - Elisa Mira Holz; Johannes Höhne; Pit Staiger-Sälzer; Michael Tangermann; Andrea Kübler (Artif. Intell. Medicine, 2013)

Mean shrinkage improves the classification of ERP signals by exploiting additional label information. - Johannes Höhne; Benjamin Blankertz; Klaus-Robert Müller; Daniel Bartz (PRNI, 2014)

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. - Sven Dähne; Frank C. Meinecke; Stefan Haufe; Johannes Höhne; Michael Tangermann; Klaus-Robert Müller; Vadim V. Nikulin (NeuroImage, 2014)

Impedance based automatic electrode positioning. - Daniel Miklody; Johannes Höhne (EMBC, 2015)

Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. - Stephanie Brandl; Johannes Höhne; Klaus-Robert Müller; Wojciech Samek (NER, 2015)

Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. - Sebastián Castaño-Candamil; Johannes Höhne; Juan David Martínez-Vargas; Xing-Wei An; Germán Castellanos-Domínguez; Stefan Haufe (NeuroImage, 2015)

Wyrm: A Brain-Computer Interface Toolbox in Python. - Bastian Venthur; Sven Dähne; Johannes Höhne; Hendrik Heller; Benjamin Blankertz (Neuroinformatics, 2015)

Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond. - Gernot R. Müller-Putz; Robert Leeb; Michael Tangermann; Johannes Höhne; Andrea Kübler; Febo Cincotti; Donatella Mattia; Rüdiger Rupp; Klaus-Robert Müller; José del R. Millán (Proc. IEEE, 2015)

Machine learning techniques for neurotechnology with applications for healthy users and patients. - Johannes Höhne (2015)

Analyzing neuroimaging data with subclasses: A shrinkage approach. - Johannes Höhne; Daniel Bartz; Martin N. Hebart; Klaus-Robert Müller; Benjamin Blankertz (NeuroImage, 2016)

Chargrid: Towards Understanding 2D Documents. - Anoop R. Katti; Christian Reisswig; Cordula Guder; Sebastian Brarda; Steffen Bickel; Johannes Höhne; Jean Baptiste Faddoul (EMNLP, 2018)

Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection. - Christian Reisswig; Anoop R. Katti; Marco Spinaci; Johannes Höhne (CoRR, 2019)

Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts. - Johannes Höhne; Jacob de Zoete; Arndt A. Schmitz; Tricia Bal; Emmanuelle di Tomaso; Matthias Lenga (COMPAY@MICCAI, 2021)

Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling. - Jonas Dippel; Steffen Vogler; Johannes Höhne (CoRR, 2021)

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. - Jonas Dippel; Matthias Lenga; Thomas Goerttler; Klaus Obermayer; Johannes Höhne (CoRR, 2022)

Towards Hierarchical Regional Transformer-based Multiple Instance Learning. - Josef Cersovsky; Sadegh Mohammadi 003; Dagmar Kainmueller; Johannes Höhne (ICCV (Workshops), 2023)