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4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes


Jul 02, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted at CURAC 2020 

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Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification


Jul 02, 2020
Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Mueller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer

* Accepted at MICCAI 2020 

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Deep learning with 4D spatio-temporal data representations for OCT-based force estimation


May 20, 2020
Nils Gessert, Marcel Bengs, Matthias SchlĂŒter, Alexander Schlaefer

* Accepted for publication in Medical Image Analysis 

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4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification


Apr 21, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted at MIDL 2019 

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Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection


Apr 21, 2020
Marcel Bengs, Stephan Westermann, Nils Gessert, Dennis Eggert, Andreas O. H. Gerstner, Nina A. Mueller, Christian Betz, Wiebke Laffers, Alexander Schlaefer

* Accepted at SPIE Medical Imaging 2020 

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A Deep Learning Approach for Motion Forecasting Using 4D OCT Data


Apr 21, 2020
Marcel Bengs, Nils Gessert, Alexander Schlaefer

* Accepted for publication at MIDL 2020: https://openreview.net/forum?id=WVd56kgRV 

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Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data


Apr 21, 2020
Marcel Bengs, Nils Gessert, Matthias SchlĂŒter, Alexander Schlaefer

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) 

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4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation


Apr 20, 2020
Nils Gessert, Marcel Bengs, Julia KrĂŒger, Roland Opfer, Ann-Christin Ostwaldt, Praveena Manogaran, Sven Schippling, Alexander Schlaefer

* Accepted at MIDL 2020 

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Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models


Nov 06, 2019
Nils Gessert, Marcel Bengs, Alexander Schlaefer

* Accepted at SPIE Medical Imaging 2020 

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Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels


Aug 12, 2019
Nils Gessert, Martin Gromniak, Marcel Bengs, Lars MatthÀus, Alexander Schlaefer

* Accepted at the CURAC 2019 Conference 

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Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images


May 20, 2019
Nils Gessert, Marcel Bengs, Lukas Wittig, Daniel Drömann, Tobias Keck, Alexander Schlaefer, David B. Ellebrecht

* Accepted for publication in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) 

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