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2020 – today
- 2022
[i4]Jonas Dippel, Matthias Lenga, Thomas Goerttler, Klaus Obermayer, Johannes Höhne:
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. CoRR abs/2207.14508 (2022)- 2021
- [c9]Johannes Höhne, Jacob de Zoete, Arndt A. Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga:
Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: towards model generalization within and across multiple thyroid cohorts. COMPAY@MICCAI 2021: 105-116 - [i3]Jonas Dippel, Steffen Vogler, Johannes Höhne:
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling. CoRR abs/2104.04323 (2021)
2010 – 2019
- 2019
- [i2]Christian Reisswig, Anoop R. Katti, Marco Spinaci, Johannes Höhne:
Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection. CoRR abs/1909.04469 (2019) - 2018
- [c8]Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. EMNLP 2018: 4459-4469 - [i1]Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. CoRR abs/1809.08799 (2018) - 2016
- [j6]Johannes Höhne, Daniel Bartz, Martin N. Hebart
, Klaus-Robert Müller, Benjamin Blankertz:
Analyzing neuroimaging data with subclasses: A shrinkage approach. NeuroImage 124: 740-751 (2016) - 2015
- [b1]Johannes Höhne:
Machine learning techniques for neurotechnology with applications for healthy users and patients. Berlin Institute of Technology, 2015 - [j5]Sebastián Castaño-Candamil, Johannes Höhne, Juan David Martínez-Vargas, Xing-Wei An, Germán Castellanos-Domínguez, Stefan Haufe:
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage 118: 598-612 (2015) - [j4]Bastian Venthur, Sven Dähne, Johannes Höhne, Hendrik Heller, Benjamin Blankertz:
Wyrm: A Brain-Computer Interface Toolbox in Python. Neuroinformatics 13(4): 471-486 (2015) - [j3]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:
Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond. Proc. IEEE 103(6): 926-943 (2015) - [c7]Daniel Miklody, Johannes Höhne:
Impedance based automatic electrode positioning. EMBC 2015: 646-649 - [c6]Stephanie Brandl, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek:
Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. NER 2015: 224-227 - 2014
- [j2]Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin:
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage 86: 111-122 (2014) - [c5]Johannes Höhne, Benjamin Blankertz, Klaus-Robert Müller, Daniel Bartz:
Mean shrinkage improves the classification of ERP signals by exploiting additional label information. PRNI 2014: 1-4 - 2013
- [j1]Elisa Mira Holz, Johannes Höhne, Pit Staiger-Sälzer, Michael Tangermann, Andrea Kübler:
Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. Artif. Intell. Medicine 59(2): 111-120 (2013) - 2012
- [c4]Johannes Höhne, Michael Tangermann:
How stimulation speed affects Event-Related Potentials and BCI performance. EMBC 2012: 1802-1805 - [c3]Michael Tangermann, Johannes Höhne, Heiko Stecher, Martijn Schreuder:
No surprise - fixed sequence event-related potentials for brain-computer interfaces. EMBC 2012: 2501-2504 - 2011
- [c2]Martijn Schreuder, Johannes Höhne, Matthias Sebastian Treder, Benjamin Blankertz, Michael Tangermann:
Performance optimization of ERP-based BCIs using dynamic stopping. EMBC 2011: 4580-4583 - [c1]Sven Dähne, Johannes Höhne, Martijn Schreuder, Michael Tangermann:
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. ICANN (1) 2011: 36-43
Coauthor Index
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