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

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

* Accepted for publication in Medical Image Analysis 

  Access Model/Code and Paper
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 

  Access Model/Code and Paper
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 

  Access Model/Code and Paper
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 

  Access Model/Code and Paper
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data

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

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

  Access Model/Code and Paper
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation

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

* Accepted at MIDL 2020 

  Access Model/Code and Paper
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 

  Access Model/Code and Paper
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels

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

* Accepted at the CURAC 2019 Conference 

  Access Model/Code and Paper
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) 

  Access Model/Code and Paper