Andreas O. H. Gerstner

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Hyperspectral Data

Hyperspectral Remote Sensing Images

Cancer Detection

Top Venues

Publications

Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil
Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation. ICANN (4) (2022)
Felix Meyer-Veit, Rania Rayyes, Andreas O. H. Gerstner, Jochen J. Steil
Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection. ESANN (2022)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. CoRR (2020)
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. MICCAI (3) (2020)
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Müller, Christian Betz, Wiebke Laffers, Alexander Schlaefer
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Bianca Regeling, Boris Thies, Andreas O. H. Gerstner, Stephan Westermann, Nina A. Müller, Jörg Bendix, Wiebke Laffers
Hyperspectral Imaging Using Flexible Endoscopy for Laryngeal Cancer Detection. Sensors 16 (8) (2016)