| A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ... Biological cybernetics 104, 263-296, 2011 | 146 | 2011 |
| Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects JN Eckardt, M Bornhäuser, K Wendt, JM Middeke Blood Advances 4 (23), 6077-6085, 2020 | 63 | 2020 |
| Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears JN Eckardt, JM Middeke, S Riechert, T Schmittmann, AS Sulaiman, ... Leukemia 36 (1), 111-118, 2022 | 62 | 2022 |
| Reinforcement learning for precision oncology JN Eckardt, K Wendt, M Bornhaeuser, JM Middeke Cancers 13 (18), 4624, 2021 | 51 | 2021 |
| Deep learning identifies acute promyelocytic leukemia in bone marrow smears JN Eckardt, T Schmittmann, S Riechert, M Kramer, AS Sulaiman, K Sockel, ... BMC cancer 22 (1), 201, 2022 | 37 | 2022 |
| A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System. M Ehrlich, K Wendt, L Zühl, R Schüffny, D Brüderle, E Müller, B Vogginger ANNIIP, 43-52, 2010 | 27 | 2010 |
| A graph theoretical approach for a multistep mapping software for the facets project K Wendt, M Ehrlich, R Schüffny Proceedings of the 2nd WSEAS International Conference on Computer …, 2008 | 26 | 2008 |
| Semi-supervised learning in cancer diagnostics JN Eckardt, M Bornhäuser, K Wendt, JM Middeke Frontiers in oncology 12, 960984, 2022 | 20 | 2022 |
| Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning JN Eckardt, C Röllig, K Metzeler, M Kramer, S Stasik, JA Georgi, P Heisig, ... Haematologica 108 (3), 690, 2023 | 15 | 2023 |
| GMPath-a path language for navigation, information query and modification of data graphs K Wendt, M Ehrlich, R Schüffny International Workshop on Artificial Neural Networks and Intelligent …, 2010 | 14 | 2010 |
| Mapping Complex, Large–Scale Spiking Networks on Neural VLSI C Mayr, M Ehrlich, S Henker, K Wendt, R Schüffny International Journal of Computer and Information Engineering 1 (1), 7-12, 2007 | 14 | 2007 |
| Data-driven digital twins in surgery utilizing augmented reality and machine learning P Riedel, M Riesner, K Wendt, U Aßmann 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 9 | 2022 |
| Unsupervised meta-clustering identifies risk clusters in acute myeloid leukemia based on clinical and genetic profiles JN Eckardt, C Röllig, K Metzeler, P Heisig, S Stasik, JA Georgi, ... Communications Medicine 3 (1), 68, 2023 | 8 | 2023 |
| Abbildung komplexer, pulsierender, neuronaler Netzwerke auf spezielle Neuronale VLSI Hardware K Wendt, M Ehrlich, C Mayr | 4 | 2007 |
| Prediction of complete remission and survival in acute myeloid leukemia using supervised machine learning JN Eckardt, C Rollig, M Kramer, S Stasik, JA Georgi, P Heisig, ... Blood 138, 108, 2021 | 3 | 2021 |
| Parallel mapping algorithms for a novel mapping & configuration software for the facets project M Ehrlich, K Wendt, R Schüffny CEA’08: Proceedings of the 2nd WSEAS International Conference on Computer …, 2008 | 2 | 2008 |
| Transparent Quality Optimization for Machine Learning-Based Regression in Neurology K Wendt, K Trentzsch, R Haase, ML Weidemann, R Weidemann, ... Journal of Personalized Medicine 12 (6), 908, 2022 | 1 | 2022 |
| Ablaufsimulation gekoppelt mit Arbeitsplatzsimulation im Bereich der Montage Automobilsitze H Wilson, K Wendt Ablaufsimulation in der Automobilindustrie, 83-97, 2020 | 1 | 2020 |
| Rule-Based DSL for Continuous Features and ML Models Selection in Multiple Sclerosis Research. W Zhao, K Wendt, T Ziemssen, U Aßmann Applied Sciences (2076-3417) 14 (14), 2024 | | 2024 |
| Automated Preselection of Regions of Interest By Deep Learning Facilitates Rapid Whole Slide Image Analysis of Bone Marrow Smears MMK Schneider, F Schulze, T Schmittmann, S Riechert, MEH Gediga, ... Blood 142, 3662, 2023 | | 2023 |
