Raphael Wagner MSc
Publikationen
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2023
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An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization
Kromp, F., Wagner, R., Balaban, B., Cottin, V., Cuevas-Saiz, I., Schachner, C., Fancsovits, P., Fawzy, M., Fischer, L., Findikli, N., Kovačič, B., Ljiljak, D., Martínez-Rodero, I., Parmegiani, L., Shebl, O., Min, X., & Ebner, T. (2023). An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization. Scientific Data, 10(1).
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Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing
Geiß, M., Wagner, R., Baresch, M., Steiner, J., & Zwick, M. (2023). Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing. Micromachines, 14(2), 442.
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IndustrialEdgeML - End-to-end edge-based computer vision system for Industry 5.0
Wagner, R., Matuschek, M., Knaack, P., Zwick, M., & Geiß, M. (2023). IndustrialEdgeML - End-to-end edge-based computer vision system for Industry 5.0. Procedia Computer Science, 217, 594–603.
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2022
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Potential of a Deep Convolutional Neural Network in the Selection of Human Blastocysts to Predict Clinical Pregnancy and Live Birth
Ebner, T., Wagner, R., Fischer, L., Shebl, O., Dacho, C., & Kromp, F. (2022). POTENTIAL OF A DEEP CONVOLUTIONAL NEURAL NETWORK IN THE SELECTION OF HUMAN BLASTOCYSTS TO PREDICT CLINCIAL PREGNANCY AND LIVE BIRTH. Fertility and Sterility, 118(4), e132.
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Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria
Kromp, F., Balaban, B., Cottin, V., Saiz, I. C., Fancsovits, P., Fawzy, M., Findikli, N., Kovacic, B., Ljiljak, D., Rodero, I. M., Parmegiani, L., Shebl, O., Wagner, R., Xie, M., & Ebner, T. (2022). O-285 Artificial intelligence algorithms reach expert-level accuracy in automated grading of blastocyst morphology assessment based on static embryo images and Gardner criteria. Human Reproduction, 37(Supplement_1).