13 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. 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
3. 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
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. 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
6. 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
7. 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
8. Data-efficient vision transformers for multi-label sisease classification on chest radiographs

   1. Behrendt, Finn
   2. Bhattacharya, Debayan
   3. Krüger, Julia
   4. Opfer, Roland
   5. Schlaefer, Alexander

   2022 - TUHH Open Research - frei zugänglich
9. Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection

   1. Behrendt, Finn
   2. Bengs, Marcel
   3. Bhattacharya, Debayan
   4. Krüger, Julia
   5. Opfer, Roland
   6. Schlaefer, Alexander

   2022 - TUHH Open Research
10. 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
11. 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
12. 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
13. 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