4 Einträge gefunden

1. Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images

   1. Seegerer, Philipp
   2. Binder, Alexander
   3. Saitenmacher, René
   4. Bockmayr, Michael
   5. Alber, Maximilian
   6. Jurmeister, Philipp
   7. Klauschen, Frederick

   2020 - Forschungsinformationssystem des UKE
2. Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

   1. Hägele, Miriam
   2. Seegerer, Philipp
   3. Lapuschkin, Sebastian
   4. Bockmayr, Michael
   5. Samek, Wojciech
   6. Klauschen, Frederick
   7. Müller, Klaus-Robert

   2020 - Forschungsinformationssystem des UKE
3. Multiclass cancer classification in fresh frozen and formalin-fixed paraffin-embedded tissue by DigiWest multiplex protein analysis

   1. Bockmayr, Teresa
   2. Erdmann, Gerrit
   3. Treue, Denise
   4. Jurmeister, Philipp
   5. Schneider, Julia
   6. Arndt, Anja
   7. Heim, Daniel

   2020 - Forschungsinformationssystem des UKE
4. TP53 mutations predict sensitivity to adjuvant gemcitabine in patients with pancreatic ductal adenocarcinoma: next-generation sequencing results from the CONKO-001 trial

   1. Sinn, Marianne
   2. Sinn, Bruno V
   3. Treue, Denise
   4. Keilholz, Ulrich
   5. Damm, Frederik
   6. Schmuck, Rosa Bianca
   7. Lohneis, Philipp

   2020 - Forschungsinformationssystem des UKE