6 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. 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
3. Unsupervised anomaly detection in 3D brain MRI using deep learning with impured training data

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

   2022 - TUHH Open Research
4. 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
5. Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction

   1. Bengs, Marcel
   2. Behrendt, Finn
   3. Laves, Max-Heinrich
   4. Krüger, Julia
   5. Opfer, Roland
   6. Schlaefer, Alexander

   2022 - TUHH Open Research
6. Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

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

   2021 - TUHH Open Research - frei zugänglich