4 Einträge gefunden

1. Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability

   1. Opfer, Roland
   2. Krüger, Julia
   3. Spies, Lothar
   4. Ostwaldt, Ann-Christin
   5. Kitzler, Hagen H.
   6. Schippling, Sven
   7. Buchert, Ralph

   2023 - Forschungsinformationssystem des UKE - frei zugänglich
2. Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment

   1. Opfer, Roland
   2. Krüger, Julia
   3. Spies, Lothar
   4. Kitzler, Hagen H.
   5. Schippling, Sven
   6. Buchert, Ralph

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
3. Deep Learning in der SPECT und PET des Gehirns

   1. Buchert, Ralph
   2. Krüger, Julia
   3. Gessert, Nils Thorben
   4. Lehnert, Wencke
   5. Apostolova, Ivayla
   6. Klutmann, Susanne
   7. Schlaefer, Alexander

   2019 - TUHH Open Research
4. Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics

   1. Wenzel, Markus
   2. Milletari, Fausto
   3. Krüger, Julia
   4. Lange, Catharina
   5. Schenk, Michael
   6. Apostolova, Ivayla
   7. Klutmann, Susanne

   2019 - Forschungsinformationssystem des UKE