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Karsten Wendt
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Journal Articles

Synthetic Bone Marrow Smears Are a Privacy-Preserving Substitute for Developing Accurate Leukemia Classification Models in Hematological Microscopy

Jan-Niklas Eckardt, Ishan Srivastava, Zizhe Wang, Susann Winter, Tim Schmittmann, Sebastian Riechert, Miriam Eva Helena Gediga, Anas Shekh Sulaiman, Martin M. K. Schneider, Freya Schulze, Christian Thiede, Katja Sockel, Frank P. Kroschinsky, Christoph Röllig, Martin Bornhäuser, Karsten Wendt, Jan Moritz Middeke
Journal: Blood
Blood (2024) 144 (Supplement 1): 1057.
https://doi.org/10.1182/blood-2024-198486
Published: 2024
Journal Articles

Autonomous Region-of-Interest Detection, Cell Segmentation and Cell Classification in Bone Marrow Cytomorphology Using Deep Learning

Dante Adami, Sebastian Riechert, Tim Schmittmann, Markus Badstübner, Karsten Wendt, Stefani Barbara Parmentier, Katja Sockel, Frank P. Kroschinsky, Martin Bornhäuser, Jan Moritz Middeke, Jan-Niklas Eckardt
Journal: Blood
Blood (2024) 144 (Supplement 1): 4975.
https://doi.org/10.1182/blood-2024-205235
Published: 2024
Journal Articles

Deep Learning Predicts Response to Venetoclax and Azacitidine in Patients with Newly Diagnosed Acute Myeloid Leukemia Solely Based on Bone Marrow Smear Image Data

Jan-Niklas Eckardt, Ishan Srivastava, Yeqiao Xu, Kellen B Gil, Andrea A. Osypuk, Zenggang Pan, Martin M. K. Schneider, Freya Schulze, Karsten Wendt, Susann Winter, Martin Bornhäuser, Daniel A. Pollyea, Jan Moritz Middeke
Journal: Blood
Blood (2024) 144 (Supplement 1): 2917.
https://doi.org/10.1182/blood-2024-206776
Published: 2024
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