7 Einträge gefunden

1. 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 - Forschungsinformationssystem des UKE
2. 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
3. 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
4. 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
5. 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
6. 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
7. Optical coherence tomography for tissue classification of the larynx in an outpatient setting-a translational challenge on the verge of a resolution?

   1. Wittig, Lukas
   2. Betz, Christian
   3. Eggert, Dennis

   2020 - Forschungsinformationssystem des UKE