13 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. Patient-level proteomic network prediction by explainable artificial intelligence

   1. Keyl, Philipp
   2. Michael, Bockmayr
   3. Heim, Daniel
   4. Dernbach, Gabriel
   5. Montavon, Grégoire
   6. Müller, Klaus-Robert
   7. Klauschen, Frederick

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
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. 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
5. 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
6. 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
7. Immunhistochemische Analyse von Bcl-2, nukleärem S100A4, MITF und Ki67 zur Risikostratifizierung von Melanomen im Frühstadium - ein kombinierter immunhistochemischer Score

   1. Jurmeister, Philipp
   2. Bockmayr, Michael
   3. Treese, Christoph
   4. Stein, Ulrike
   5. Lenze, Dido
   6. Jöhrens, Korinna
   7. Friedling, Franziska

   2019 - Forschungsinformationssystem des UKE
8. Proteogenomic systems analysis identifies targeted therapy resistance mechanisms in EGFR-mutated lung cancer

   1. Treue, Denise
   2. Bockmayr, Michael
   3. Stenzinger, Albrecht
   4. Heim, Daniel
   5. Hester, Svenja
   6. Klauschen, Frederick

   2019 - Forschungsinformationssystem des UKE
9. Immunologic Profiling of Mutational and Transcriptional Subgroups in Pediatric and Adult High-Grade Gliomas

   1. Bockmayr, Michael
   2. Klauschen, Frederick
   3. Maire, Cecile L
   4. Rutkowski, Stefan
   5. Westphal, Manfred
   6. Lamszus, Katrin
   7. Schüller, Ulrich

   2019 - Forschungsinformationssystem des UKE
10. Immunohistochemical analysis of Bcl-2, nuclear S100A4, MITF and Ki67 for risk stratification of early-stage melanoma - A combined IHC score for melanoma risk stratification

    1. Jurmeister, Philipp
    2. Bockmayr, Michael
    3. Treese, Christoph
    4. Stein, Ulrike
    5. Lenze, Dido
    6. Jöhrens, Korinna
    7. Friedling, Franziska

    2019 - Forschungsinformationssystem des UKE
11. Subgroup-specific immune and stromal microenvironment in medulloblastoma

    1. Bockmayr, Michael
    2. Mohme, Malte
    3. Klauschen, Frederick
    4. Winkler, Beate
    5. Budczies, Jan
    6. Rutkowski, Stefan
    7. Schüller, Ulrich

    2018 - Forschungsinformationssystem des UKE - frei zugänglich
12. Multilayered omics-based analysis of a head and neck cancer model of cisplatin resistance reveals intratumoral heterogeneity and treatment-induced clonal selection

    1. Niehr, Franziska
    2. Eder, Theresa
    3. Pilz, Tanja
    4. Konschak, Robert
    5. Treue, Denise
    6. Klauschen, Frederick
    7. Bockmayr, Michael

    2018 - Forschungsinformationssystem des UKE
13. Mutation patterns in genes encoding interferon signaling and antigen presentation: A pan-cancer survey with implications for the use of immune checkpoint inhibitors

    1. Budczies, Jan
    2. Bockmayr, Michael
    3. Klauschen, Frederick
    4. Endris, Volker
    5. Fröhling, Stefan
    6. Schirmacher, Peter
    7. Denkert, Carsten

    2017 - Forschungsinformationssystem des UKE