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Wendt, Karsten
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1

Rule-Based DSL for Continuous Features and ML Models Select..:

Zhao, Wanqi ; Wendt, Karsten ; Ziemssen, Tjalf.
Applied Sciences.  14 (2024)  14 - p. 6193 , 2024
Link: https://doi.org/10.3390/..
 
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2

Unsupervised meta-clustering identifies risk clusters in ac..:

Eckardt, Jan-Niklas ; Röllig, Christoph ; Metzeler, Klaus...
Communications Medicine.  3 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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3

Data-Driven Digital Twins in Surgery utilizing Augmented Re..:

, In: 2022 IEEE International Conference on Communications Workshops (ICC Workshops),
Riedel, Paul ; Riesner, Michael ; Wendt, Karsten. - p. 580-585 , 2022
Link: https://doi.org/10.1109/..
 
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4

Semi-supervised learning in cancer diagnostics:

Eckardt, Jan-Niklas ; Bornhäuser, Martin ; Wendt, Karsten.
Frontiers in Oncology.  12 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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5

Transparent Quality Optimization for Machine Learning-Based..:

Wendt, Karsten ; Trentzsch, Katrin ; Haase, Rocco...
Journal of Personalized Medicine.  12 (2022)  6 - p. 908 , 2022
Link: https://doi.org/10.3390/..
 
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6

Deep learning identifies Acute Promyelocytic Leukemia in bo..:

Eckardt, Jan-Niklas ; Schmittmann, Tim ; Riechert, Sebastian...
BMC Cancer.  22 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
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7

Reinforcement Learning for Precision Oncology:

Eckardt, Jan-Niklas ; Wendt, Karsten ; Bornhäuser, Martin.
Cancers.  13 (2021)  18 - p. 4624 , 2021
Link: https://doi.org/10.3390/..
 
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8

Deep learning detects acute myeloid leukemia and predicts N..:

Eckardt, Jan-Niklas ; Middeke, Jan Moritz ; Riechert, Sebastian...
Leukemia.  36 (2021)  1 - p. 111-118 , 2021
Link: https://doi.org/10.1038/..
 
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9

Ablaufsimulation gekoppelt mit Arbeitsplatzsimulation im Be..:

, In: Ablaufsimulation in der Automobilindustrie,
Wilson, Heike ; Wendt, Karsten - p. 83-97 , 2020
Link: https://doi.org/10.1007/..
 
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10

Application of machine learning in the management of acute ..:

Eckardt, Jan-Niklas ; Bornhäuser, Martin ; Wendt, Karsten.
Blood Advances.  4 (2020)  23 - p. 6077-6085 , 2020
Link: https://doi.org/10.1182/..
 
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11

A comprehensive workflow for general-purpose neural modelin..:

Brüderle, Daniel ; Petrovici, Mihai A. ; Vogginger, Bernhard...
Biological Cybernetics.  104 (2011)  4-5 - p. 263-296 , 2011
Link: https://doi.org/10.1007/..
 
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12

Unsupervised meta-clustering identifies risk clusters in ac..:

Eckardt, Jan-Niklas ; Röllig, Christoph ; Metzeler, Klaus...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192332/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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13

Corrigendum: Data-Driven Digital Twins in Surgery utilizing..:

Riedel, Paul ; Riesner, Michael ; Wendt, Karsten.
10.1109/ICCWorkshops53468.2022.9814537.  , 2023
Link: https://nbn-resolving.or..
 
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14

Deep learning identifies Acute Promyelocytic Leukemia in bo..:

Eckardt, Jan-Niklas ; Schmittmann, Tim ; Riechert, Sebastian...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864866/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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15

Prediction of complete remission and survival in acute myel..:

Eckardt, Jan-Niklas ; Röllig, Christoph ; Metzeler, Klaus...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9973482/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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