11 Einträge gefunden

1. In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods

   1. Eggert, Dennis
   2. Bengs, Marcel
   3. Westermann, Stephan
   4. Gessert, Nils Thorben
   5. Gerstner, Andreas
   6. Müller, Nina
   7. Bewarder, Julian

   2022 - TUHH Open Research - frei zugänglich
2. Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models

   1. Gessert, Nils Thorben
   2. Bengs, Marcel
   3. Schlaefer, Alexander

   2020 - TUHH Open Research
3. Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection

   1. Bengs, Marcel
   2. Westermann, Stephan
   3. Gessert, Nils Thorben
   4. Eggert, Dennis
   5. Gerstner, Andreas O. H.
   6. Mueller, Nina A.
   7. Betz, Christian Stephan

   2020 - TUHH Open Research
4. 4D spatio-temporal convolutional networks for object position estimation in OCT volumes

   1. Bengs, Marcel
   2. Gessert, Nils Thorben
   3. Schlaefer, Alexander

   2020 - TUHH Open Research - frei zugänglich
5. Spatio-temporal deep learning methods for motion estimation using 4D OCT image data

   1. Bengs, Marcel
   2. Gessert, Nils Thorben
   3. Schlüter, Matthias
   4. Schlaefer, Alexander

   2020 - TUHH Open Research - frei zugänglich
6. Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

   1. Bengs, Marcel
   2. Gessert, Nils Thorben
   3. Laffers, Wiebke
   4. Eggert, Dennis
   5. Westermann, Stephan
   6. Mueller, Nina A.
   7. Gerstner, Andreas O. H.

   2020 - TUHH Open Research
7. Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

   1. Gessert, Nils Thorben
   2. Bengs, Marcel
   3. Schlüter, Matthias
   4. Schlaefer, Alexander

   2020 - TUHH Open Research
8. A Deep Learning Approach for Motion Forecasting Using 4D OCT Data

   1. Bengs, Marcel
   2. Gessert, Nils Thorben
   3. Schlaefer, Alexander

   2020 - TUHH Open Research
9. 4D spatio-temporal deep learning with 4D fMRI data for autism spectrum disorder classification

   1. Bengs, Marcel
   2. Gessert, Nils Thorben
   3. Schlaefer, Alexander

   2019 - TUHH Open Research - frei zugänglich
10. Deep transfer learning methods for colon cancer classification in confocal laser microscopy images

    1. Gessert, Nils Thorben
    2. Bengs, Marcel
    3. Wittig, Lukas
    4. Drömann, Daniel
    5. Keck, Tobias
    6. Schlaefer, Alexander
    7. Ellebrecht, David B.

    2019 - TUHH Open Research
11. Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels

    1. Gessert, Nils Thorben
    2. Gromniak, Martin
    3. Bengs, Marcel
    4. Matthäus, Lars
    5. Schlaefer, Alexander

    2019 - TUHH Open Research