7 Einträge gefunden

1. Self-supervised U-Net for segmenting flat and sessile polyps

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

   2022 - Forschungsinformationssystem des UKE
2. 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
3. Squeeze and multi‐context attention for polyp segmentation

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

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
4. Learning Robust Representation for Laryngeal Cancer Classification in Vocal Folds from Narrow Band Images

   1. Bhattacharya, Debayan
   2. Behrendt, Finn
   3. Felicio-Briegel, Axelle
   4. Volgger, Veronika
   5. Eggert, Dennis
   6. Betz, Christian
   7. Schlaefer, Alexander

   2022 - Forschungsinformationssystem des UKE
5. 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
   5. Gerstner, Andreas O H
   6. Mueller, Nina A
   7. Bewarder, Julian

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
6. Self-supervised U-Net for segmenting flat and sessile polyps

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

   2022 - TUHH Open Research
7. 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