4 Einträge gefunden

1. Machine Learning Models Predict the Primary Sites of Head and Neck Squamous Cell Carcinoma Metastases Based on DNA Methylation

   1. Leitheiser, Maximilian
   2. Capper, David
   3. Seegerer, Philipp
   4. Lehmann, Annika
   5. Schüller, Ulrich
   6. Müller, Klaus-Robert
   7. Klauschen, Frederick

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
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. 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
4. Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases

   1. Jurmeister, Philipp
   2. Bockmayr, Michael
   3. Seegerer, Philipp
   4. Bockmayr, Teresa
   5. Treue, Denise
   6. Montavon, Grégoire
   7. Vollbrecht, Claudia

   2019 - Forschungsinformationssystem des UKE