Johannes Höhne

Radiance Technologies (United States) — United States

Neuroscience · Life Sciences

20h-index2.1kcitations49works0.02yr avg
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Research Topics

EEG and Brain-Computer Interfaces(25), Neuroscience and Neural Engineering(14), Neural dynamics and brain function(11), Advanced Memory and Neural Computing(6), Neural and Behavioral Psychology Studies(5)

Publications45 total

Visuelle Intelligenz für optische Inspektionssysteme – Zusammenspiel von Hard- und Software
Technische Textilien·2023
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder
arXiv (Cornell University)·2022· 2 citedOpen Access
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
arXiv (Cornell University)·2021· 3 citedOpen Access
Towards Fine-grained Visual Representations by Combining Contrastive\n Learning with Image Reconstruction and Attention-weighted Pooling
arXiv (Cornell University)·2021· 7 citedOpen Access
Home-based exercise programmes improve physical fitness of healthy older adults: A PRISMA-compliant systematic review and meta-analysis with relevance for COVID-19
Ageing Research Reviews·2021· 148 citedOpen Access
Chargrid-OCR: End-to-end Trainable Optical Character Recognition for Printed Documents using Instance Segmentation
arXiv (Cornell University)·2019· 3 citedOpen Access
Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection
arXiv (Cornell University)·2019· 2 citedOpen Access
Chargrid: Towards Understanding 2D Documents
arXiv (Cornell University)·2018· 15 citedOpen Access
Chargrid: Towards Understanding 2D Documents
2018· 193 citedOpen Access
Brain–computer interfacing under distraction: an evaluation study
Journal of Neural Engineering·2016· 27 cited
Analyzing neuroimaging data with subclasses: A shrinkage approach
NeuroImage·2015· 10 cited
Impedance based automatic electrode positioning
2015
Solving the EEG inverse problem based on space–time–frequency structured sparsity constraints
NeuroImage·2015· 67 cited
Wyrm: A Brain-Computer Interface Toolbox in Python
Neuroinformatics·2015· 25 citedOpen Access
Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond
Proceedings of the IEEE·2015· 157 citedOpen Access
Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment
2015· 17 cited
Machine learning techniques for neurotechnology with applications for healthy users and patients
DepositOnce·2015Open Access
Multi-Target Shrinkage
arXiv (Cornell University)·2014· 6 citedOpen Access
Exploring Combinations of Auditory and Visual Stimuli for Gaze-Independent Brain-Computer Interfaces
PLoS ONE·2014· 36 citedOpen Access
Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
PLoS ONE·2014· 86 citedOpen Access
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Frequent Co-authors

Michael Tangermann(16), Klaus‐Robert Müller(8), Benjamin Blankertz(8), Martijn Schreuder(7), Sven Dähne(5), Anoop R Katti(4), Christian Reisswig(4), Andrea Kübler(4), Stefan Haufe(3), Andreas Ziegler(3), Roderick Murray‐Smith(3), Daniel Bartz(3), Jonas Dippel(3), Cordula Guder(2), Sebastian Brarda(2), Steffen Bickel(2), Jean Baptiste Faddoul(2), Donatella Mattia(2), Elisa Mira Holz(2), Pit Staiger-Sälzer(2)