10 Einträge gefunden

1. Unsupervised Anomaly Detection of Paranasal Anomalies in the Maxillary Sinus

   1. Bhattacharya, Debayan
   2. Behrendt, Finn
   3. Becker, Benjamin Tobias
   4. Beyersdorff, Dirk
   5. Petersen, Elina
   6. Petersen, Marvin
   7. Cheng, Bastian

   2023 - TUHH Open Research
2. Lipidome Analysis of Oropharyngeal Tumor Tissues Using Nanosecond Infrared Laser (NIRL) Tissue Sampling and Subsequent Mass Spectrometry

   1. Stadlhofer, Rupert
   2. Moritz, Manuela
   3. Fuh, Marceline Manka
   4. Heeren, Jörg
   5. Zech, Henrike Barbara Antonia Angelika
   6. Clauditz, Till Sebastian
   7. Schlüter, Hartmut

   2023 - Forschungsinformationssystem des UKE - frei zugänglich
3. Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

   1. Bhattacharya, Debayan
   2. Becker, Benjamin Tobias
   3. Behrendt, Finn
   4. Bengs, Marcel
   5. Beyersdorff, Dirk
   6. Eggert, Dennis
   7. Petersen, Elina

   2022 - TUHH Open Research
4. 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
5. Squeeze and multi-context attention for polyp segmentation

   1. Bhattacharya, Debayan
   2. Eggert, Dennis
   3. Betz, Christian Stephan
   4. Schlaefer, Alexander

   2022 - TUHH Open Research - frei zugänglich
6. Dual Parallel Reverse Attention Edge Network : DPRA-EdgeNet

   1. Bhattacharya, Debayan
   2. Betz, Christian Stephan
   3. Eggert, Dennis
   4. Schlaefer, Alexander

   2021 - TUHH Open Research
7. Dual Parallel Reverse Attention Edge Network : DPRA-EdgeNet

   1. Bhattacharya, Debayan
   2. Betz, Christian Stephan
   3. Eggert, Dennis
   4. Schlaefer, Alexander

   2021 - Forschungsinformationssystem des UKE - frei zugänglich
8. Self-supervised U-Net for segmenting flat and sessile polyps

   1. Bhattacharya, Debayan
   2. Betz, Christian Stephan
   3. Eggert, Dennis
   4. Schlaefer, Alexander

   2021 - TUHH Open Research
9. 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
10. 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