12 Einträge gefunden

1. 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
2. Harmoni: A method for eliminating spurious interactions due to the harmonic components in neuronal data

   1. Idaji, Mina Jamshidi
   2. Zhang, Juanli
   3. Stephani, Tilman
   4. Nolte, Guido
   5. Müller, Klaus-Robert
   6. Villringer, Arno
   7. Nikulin, Vadim V

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
3. Towards the interpretability of deep learning models for multi-modal neuroimaging: Finding structural changes of the ageing brain

   1. Hofmann, Simon
   2. Beyer, Frauke
   3. Lapuschkin, Sebastian
   4. Goltermann, Ole
   5. Loeffler, Markus
   6. Müller, Klaus-Robert
   7. Villringer, Arno

   2022 - Forschungsinformationssystem des UKE - frei zugänglich
4. 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
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. Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain

   1. Idaji, Mina Jamshidi
   2. Müller, Klaus-Robert
   3. Nolte, Guido
   4. Maess, Burkhard
   5. Villringer, Arno
   6. Nikulin, Vadim V

   2020 - Forschungsinformationssystem des UKE
7. Scoring of tumor-infiltrating lymphocytes: from visual estimation to machine learning

   1. Klauschen, F
   2. Müller, Klaus-Robert
   3. Binder, A
   4. Bockmayr, M
   5. Hägele, M
   6. Seegerer, P
   7. Wienert, S

   2018 - Forschungsinformationssystem des UKE
8. Data Descriptor: Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset

   1. Shin, Jaeyoung
   2. von Lühmann, Alexander
   3. Kim, Do-Won
   4. Mehnert, Jan
   5. Hwang, Han-Jeong
   6. Müller, Klaus-Robert

   2018 - Forschungsinformationssystem des UKE - frei zugänglich
9. Objective quality assessment of stereoscopic images with vertical disparity using EEG

   1. Avarvand, Forooz Shahbazi
   2. Bosse, Sebastian
   3. Müller, Klaus-Robert
   4. Schäfer, Ralf
   5. Nolte, Guido
   6. Wiegand, Thomas
   7. Curio, Gabriel

   2017 - Forschungsinformationssystem des UKE
10. Analyzing neuroimaging data with subclasses: A shrinkage approach

    1. Höhne, Johannes
    2. Bartz, Daniel
    3. Hebart, Martin
    4. Müller, Klaus-Robert
    5. Blankertz, Benjamin

    2016 - Forschungsinformationssystem des UKE
11. A critical assessment of connectivity measures for EEG data: a simulation study

    1. Haufe, Stefan
    2. Nikulin, Vadim V
    3. Müller, Klaus-Robert
    4. Nolte, Guido

    2013 - Forschungsinformationssystem des UKE
12. Review of the BCI Competition IV.

    1. Tangermann, Michael
    2. Müller, Klaus-Robert
    3. Aertsen, Ad
    4. Birbaumer, Niels
    5. Braun, Christoph
    6. Brunner, Clemens
    7. Leeb, Robert

    2012 - Forschungsinformationssystem des UKE - frei zugänglich