Johannes Höhne

22 papers A* 1Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Towards Hierarchical Regional Transformer-based Multiple Instance Learning. ICCV (Workshops) Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
2023	J	`jnl`	Towards Hierarchical Regional Transformer-based Multiple Instance Learning. CoRR Josef Cersovsky, Sadegh Mohammadi, Dagmar Kainmueller, Johannes Höhne
2022	J	`jnl`	Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. CoRR Jonas Dippel, Matthias Lenga, Thomas Goerttler, Klaus Obermayer, Johannes Höhne
2021	—	`conf`	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 Johannes Höhne, Jacob de Zoete, Arndt A. Schmitz, Tricia Bal, Emmanuelle di Tomaso, Matthias Lenga
2021	J	`jnl`	Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling. CoRR Jonas Dippel, Steffen Vogler, Johannes Höhne
2019	J	`jnl`	Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection. CoRR Christian Reisswig, Anoop R. Katti, Marco Spinaci, Johannes Höhne
2018	A*	`conf`	Chargrid: Towards Understanding 2D Documents. EMNLP Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul
2018	J	`jnl`	Chargrid: Towards Understanding 2D Documents. CoRR Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul
2016	J	`jnl`	Analyzing neuroimaging data with subclasses: A shrinkage approach. NeuroImage Johannes Höhne, Daniel Bartz, Martin N. Hebart, Klaus-Robert Müller, Benjamin Blankertz
2015	—	`conf`	Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. NER Stephanie Brandl, Johannes Höhne, Klaus-Robert Müller, Wojciech Samek
2015	—	`conf`	Impedance based automatic electrode positioning. EMBC Daniel Miklody, Johannes Höhne
2015	—	`—`	Machine learning techniques for neurotechnology with applications for healthy users and patients. Johannes Höhne
2015	J	`jnl`	Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage Sebastián Castaño-Candamil, Johannes Höhne, Juan David Martínez-Vargas, Xing-Wei An, Germán Castellanos-Domínguez, Stefan Haufe
2015	J	`jnl`	Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond. Proc. IEEE 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
2015	J	`jnl`	Wyrm: A Brain-Computer Interface Toolbox in Python. Neuroinformatics Bastian Venthur, Sven Dähne, Johannes Höhne, Hendrik Heller, Benjamin Blankertz
2014	—	`conf`	Mean shrinkage improves the classification of ERP signals by exploiting additional label information. PRNI Johannes Höhne, Benjamin Blankertz, Klaus-Robert Müller, Daniel Bartz
2014	J	`jnl`	SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin
2013	J	`jnl`	Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. Artif. Intell. Medicine Elisa Mira Holz, Johannes Höhne, Pit Staiger-Sälzer, Michael Tangermann, Andrea Kübler
2012	—	`conf`	How stimulation speed affects Event-Related Potentials and BCI performance. EMBC Johannes Höhne, Michael Tangermann
2012	—	`conf`	No surprise - fixed sequence event-related potentials for brain-computer interfaces. EMBC Michael Tangermann, Johannes Höhne, Heiko Stecher, Martijn Schreuder
2011	—	`conf`	Performance optimization of ERP-based BCIs using dynamic stopping. EMBC Martijn Schreuder, Johannes Höhne, Matthias Sebastian Treder, Benjamin Blankertz, Michael Tangermann
2011	—	`conf`	Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. ICANN (1) Sven Dähne, Johannes Höhne, Martijn Schreuder, Michael Tangermann