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Karsten Wendt
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Journal Articles

Automated Preselection of Regions of Interest By Deep Learning Facilitates Rapid Whole Slide Image Analysis of Bone Marrow Smears

Martin M. K. Schneider, Freya Schulze, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Katja Sockel, Frank P. Kroschinsky, Karsten Wendt, Martin Bornhaeuser, Jan Moritz Middeke, Jan-Niklas Eckardt
Journal: Blood
Blood (2023) 142 (Supplement 1): 3662.
https://doi.org/10.1182/blood-2023-187501
Published: 2023
Journal Articles

Explainable End-to-End Supervised Learning Identifies Myelodysplastic Neoplasms in Bone Marrow Smears

Jan-Niklas Eckardt, Tim Schmittmann, Freya Schulze, Sebastian Riechert, Martin M. K. Schneider, Lukas Reichel, Miriam Eva Helena Gediga, Katja Sockel, Anas Shekh Sulaiman, Ekaterina Balaian, Christoph Röllig, Frank P. Kroschinsky, Anne Marie Asemissen, Uwe Platzbecker, Christian Pohlkamp, Torsten Haferlach, Karsten Wendt, Martin Bornhäuser, Jan Moritz Middeke
Journal: Blood
Blood (2023) 142 (Supplement 1): 2269.
https://doi.org/10.1182/blood-2023-185628
Published: 2023
Journal Articles

Prediction of Complete Remission and Survival in Acute Myeloid Leukemia Using Supervised Machine Learning

Jan-Niklas Eckardt, Christoph Rollig, Michael Kramer, Sebastian Stasik, Julia-Annabell Georgi, Peter Heisig, Frank P. Kroschinsky, Johannes Schetelig, Uwe Platzbecker, Carsten Müller-Tidow, Tim Sauer, Hubert Serve, Claudia D. Baldus, Kerstin Schaefer-Eckart, Martin Kaufmann, Stefan W. Krause, Mathias Haenel, Christoph Schliemann, Maher Hanoun, Christian Thiede, Martin Bornhaeuser, Karsten Wendt, Jan Moritz Middeke
Journal: Blood
Blood (2021) 138 (Supplement 1): 108.
https://doi.org/10.1182/blood-2021-149582
Published: 2021