6 Einträge gefunden

1. 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
2. Interobserver variability of image-derived arterial blood SUV in whole-body FDG PET

   1. Hofheinz, Frank
   2. Maus, Jens
   3. Zschaeck, Sebastian
   4. Rogasch, Julian
   5. Schramm, Georg
   6. Oehme, Liane
   7. Apostolova, Ivayla

   2019 - Forschungsinformationssystem des UKE - frei zugänglich
3. The association of intra-therapeutic heterogeneity of somatostatin receptor expression with morphological treatment response in patients undergoing PRRT with [177Lu]-DOTATATE

   1. Wetz, Christoph
   2. Genseke, Philipp
   3. Apostolova, Ivayla
   4. Furth, Christian
   5. Ghazzawi, Sammy
   6. Rogasch, Julian M M
   7. Schatka, Imke

   2019 - Forschungsinformationssystem des UKE - frei zugänglich
4. Nuclear Imaging in the Diagnosis of Clinically Uncertain Parkinsonian Syndromes

   1. Buchert, Ralph
   2. Buhmann, Carsten
   3. Apostolova, Ivayla
   4. Meyer, Philipp T
   5. Gallinat, Jürgen

   2019 - Forschungsinformationssystem des UKE
5. Diagnostic performance of the specific uptake size index for semi-quantitative analysis of I-123-FP-CIT SPECT:harmonized multi-center research setting versus typical clinical single-camera setting

   1. Buchert, Ralph
   2. Lange, Catharina
   3. Spehl, Timo S
   4. Apostolova, Ivayla
   5. Frings, Lars
   6. Jonsson, Cathrine
   7. Meyer, Philipp T

   2019 - Forschungsinformationssystem des UKE - frei zugänglich
6. 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