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Frontiers in Human Neuroscience
|
November 23, 2017
Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic Signals
Maximilian Hommelsen, Matthias Schneiders, Christian Schuld, et al.
Frontiers in Neurology
|
February 16, 2019
Differences in Characteristics of Error-Related Potentials Between Individuals With Spinal Cord Injury and Age- and Sex-Matched Able-Bodied Controls
Philipp Keyl, Matthias Schneiders, Christian Schuld, et al.
NPJ Precision Oncology
|
June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligence
Philipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Nucleic Acids Research
|
January 11, 2023
Single-cell gene regulatory network prediction by explainable AI
Philipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Pathologie (Heidelberg, Germany)
|
February 5, 2024
[Explainable artificial intelligence in pathology]
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology
|
October 23, 2023
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
NAR Cancer
|
September 8, 2025
Neural interaction explainable AI predicts drug response across cancers
Philipp Keyl, Julius Keyl, Andreas Mock, et al.
European Urology Oncology
|
December 31, 2025
Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder Cancer
Nadia Jurczok, Gabriel Dernbach, Benedikt Ebner, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>
Julius Keyl, René Hosch, Fabian Hörst, et al.
Nature Cancer
|
January 30, 2025
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Frontiers in Human Neuroscience
|
November 23, 2017
Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic Signals
Maximilian Hommelsen, Matthias Schneiders, Christian Schuld, et al.
Frontiers in Neurology
|
February 16, 2019
Differences in Characteristics of Error-Related Potentials Between Individuals With Spinal Cord Injury and Age- and Sex-Matched Able-Bodied Controls
Philipp Keyl, Matthias Schneiders, Christian Schuld, et al.
NPJ Precision Oncology
|
June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligence
Philipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Nucleic Acids Research
|
January 11, 2023
Single-cell gene regulatory network prediction by explainable AI
Philipp Keyl, Philip Bischoff, Gabriel Dernbach, et al.
Pathologie (Heidelberg, Germany)
|
February 5, 2024
[Explainable artificial intelligence in pathology]
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
Annual Review of Pathology
|
October 23, 2023
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
NAR Cancer
|
September 8, 2025
Neural interaction explainable AI predicts drug response across cancers
Philipp Keyl, Julius Keyl, Andreas Mock, et al.
European Urology Oncology
|
December 31, 2025
Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder Cancer
Nadia Jurczok, Gabriel Dernbach, Benedikt Ebner, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
January 5, 2026
<SPAN style="font-weight: 400;">Deep Learning-derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-Type Metastatic Colorectal Cancer</SPAN>
Julius Keyl, René Hosch, Fabian Hörst, et al.
Nature Cancer
|
January 30, 2025
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence
Julius Keyl, Philipp Keyl, Grégoire Montavon, et al.
Page
of 2