Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Philipp Keyl

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Frontiers in Human Neuroscience|November 23, 2017
Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic SignalsMaximilian 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 ControlsPhilipp Keyl, Matthias Schneiders, Christian Schuld, et al.
NPJ Precision Oncology|June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligencePhilipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Nucleic Acids Research|January 11, 2023
Single-cell gene regulatory network prediction by explainable AIPhilipp 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 PathologyFrederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
NAR Cancer|September 8, 2025
Neural interaction explainable AI predicts drug response across cancersPhilipp Keyl, Julius Keyl, Andreas Mock, et al.
European Urology Oncology|December 31, 2025
Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder CancerNadia 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 intelligenceJulius Keyl, Philipp Keyl, Grégoire Montavon, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Human Neuroscience|November 23, 2017
Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic SignalsMaximilian 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 ControlsPhilipp Keyl, Matthias Schneiders, Christian Schuld, et al.
NPJ Precision Oncology|June 7, 2022
Patient-level proteomic network prediction by explainable artificial intelligencePhilipp Keyl, Michael Bockmayr, Daniel Heim, et al.
Nucleic Acids Research|January 11, 2023
Single-cell gene regulatory network prediction by explainable AIPhilipp 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 PathologyFrederick Klauschen, Jonas Dippel, Philipp Keyl, et al.
NAR Cancer|September 8, 2025
Neural interaction explainable AI predicts drug response across cancersPhilipp Keyl, Julius Keyl, Andreas Mock, et al.
European Urology Oncology|December 31, 2025
Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder CancerNadia 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 intelligenceJulius Keyl, Philipp Keyl, Grégoire Montavon, et al.
Pageof 2