14 Einträge gefunden

1. Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods

   1. Gessert, Nils Thorben
   2. Schlüter, Matthias
   3. Latus, Sarah
   4. Volgger, Veronika
   5. Betz, Christian Stephan
   6. Schlaefer, Alexander

   2019 - TUHH Open Research
2. 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
3. Feasibility of a markerless tracking system based on optical coherence tomography

   1. Schlüter, Matthias
   2. Otte, Christoph
   3. Saathoff, Thore
   4. Gessert, Nils Thorben
   5. Schlaefer, Alexander

   2019 - TUHH Open Research
4. 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
5. Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging

   1. Latus, Sarah
   2. Neidhardt, Maximilian
   3. Lutz, Matthias
   4. Gessert, Nils Thorben
   5. Frey, Norbert
   6. Schlaefer, Alexander

   2019 - TUHH Open Research
6. Spatio-temporal deep learning models for tip force estimation during needle insertion

   1. Gessert, Nils Thorben
   2. Priegnitz, Torben
   3. Saathoff, Thore
   4. Antoni, Sven-Thomas
   5. Meyer, David
   6. Hamann, Moritz Franz
   7. Jünemann, Klaus Peter

   2019 - TUHH Open Research
7. 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
8. Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs

   1. Gessert, Nils Thorben
   2. Schlaefer, Alexander

   2019 - TUHH Open Research
9. Deep Learning in der SPECT und PET des Gehirns

   1. Buchert, Ralph
   2. Krüger, Julia
   3. Gessert, Nils Thorben
   4. Lehnert, Wencke
   5. Apostolova, Ivayla
   6. Klutmann, Susanne
   7. Schlaefer, Alexander

   2019 - TUHH Open Research
10. Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data

    1. Gessert, Nils Thorben
    2. Nielsen, Maximilian
    3. Shaikh, Mohsin
    4. Werner, René
    5. Schlaefer, Alexander

    2019 - TUHH Open Research
11. Fully automated longitudinal segmentation of new or enlarging multiple sclerosis (MS) lesions using 3D convolutional neural networks

    1. Krüger, Julia
    2. Opfer, Roland
    3. Gessert, Nils Thorben
    4. Schippling, Sven
    5. Ostwaldt, Ann-Christin
    6. Walker-Egger, Christine
    7. Manogaran, Paraveena

    2019 - TUHH Open Research
12. Efficient neural architecture search on low-dimensional data for OCT image segmentation

    1. Gessert, Nils Thorben
    2. Schlaefer, Alexander

    2019 - TUHH Open Research - frei zugänglich
13. Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

    1. Gessert, Nils Thorben
    2. Lutz, Matthias
    3. Heyder, Markus
    4. Latus, Sarah
    5. Leistner, David M.
    6. Abdelwahed, Youssef S.
    7. Schlaefer, Alexander

    2019 - TUHH Open Research
14. Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation

    1. Gessert, Nils Thorben
    2. Gromniak, Martin
    3. Schlüter, Matthias
    4. Schlaefer, Alexander

    2019 - TUHH Open Research