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

Karsten Wendt

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Cancers|September 28, 2021
Reinforcement Learning for Precision OncologyJan-Niklas Eckardt, Karsten Wendt, Martin Bornhäuser, et al.
Blood Advances|December 8, 2020
Application of machine learning in the management of acute myeloid leukemia: current practice and future prospectsJan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Frontiers in Oncology|August 1, 2022
Semi-supervised learning in cancer diagnosticsJan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Journal of Personalized Medicine|June 24, 2022
Transparent Quality Optimization for Machine Learning-Based Regression in NeurologyKarsten Wendt, Katrin Trentzsch, Rocco Haase, et al.
Leukemia|September 9, 2021
Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smearsJan-Niklas Eckardt, Jan Moritz Middeke, Sebastian Riechert, et al.
BMC Cancer|February 23, 2022
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smearsJan-Niklas Eckardt, Tim Schmittmann, Sebastian Riechert, et al.
Brain Communications|October 20, 2025
Machine learning integration of MRI and gait reveals mobility phenotypes in multiple sclerosisHernan Inojosa, Wanqi Zhao, Judith Wenk, et al.
NPJ Digital Medicine|March 22, 2025
Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification modelsJan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, et al.
NPJ Precision Oncology|December 11, 2025
Image-based explainable artificial intelligence accurately identifies myelodysplastic neoplasms beyond conventional signs of dysplasiaJan-Niklas Eckardt, Ishan Srivastava, Freya Schulze, et al.
Biological Cybernetics|May 28, 2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systemsDaniel Brüderle, Mihai A Petrovici, Bernhard Vogginger, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Cancers|September 28, 2021
Reinforcement Learning for Precision OncologyJan-Niklas Eckardt, Karsten Wendt, Martin Bornhäuser, et al.
Blood Advances|December 8, 2020
Application of machine learning in the management of acute myeloid leukemia: current practice and future prospectsJan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Frontiers in Oncology|August 1, 2022
Semi-supervised learning in cancer diagnosticsJan-Niklas Eckardt, Martin Bornhäuser, Karsten Wendt, et al.
Journal of Personalized Medicine|June 24, 2022
Transparent Quality Optimization for Machine Learning-Based Regression in NeurologyKarsten Wendt, Katrin Trentzsch, Rocco Haase, et al.
Leukemia|September 9, 2021
Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smearsJan-Niklas Eckardt, Jan Moritz Middeke, Sebastian Riechert, et al.
BMC Cancer|February 23, 2022
Deep learning identifies Acute Promyelocytic Leukemia in bone marrow smearsJan-Niklas Eckardt, Tim Schmittmann, Sebastian Riechert, et al.
Brain Communications|October 20, 2025
Machine learning integration of MRI and gait reveals mobility phenotypes in multiple sclerosisHernan Inojosa, Wanqi Zhao, Judith Wenk, et al.
NPJ Digital Medicine|March 22, 2025
Synthetic bone marrow images augment real samples in developing acute myeloid leukemia microscopy classification modelsJan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, et al.
NPJ Precision Oncology|December 11, 2025
Image-based explainable artificial intelligence accurately identifies myelodysplastic neoplasms beyond conventional signs of dysplasiaJan-Niklas Eckardt, Ishan Srivastava, Freya Schulze, et al.
Biological Cybernetics|May 28, 2011
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systemsDaniel Brüderle, Mihai A Petrovici, Bernhard Vogginger, et al.
Pageof 2