Optimizing PatchCore for Few/many-shot Anomaly Detection.
CoRR, 2023
Vision-based open set recognition for industrial inspection systems.
PhD thesis, 2022
Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics.
Sensors, 2022
Animal Fiber Identification under the Open Set Condition.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022
Panoptic Segmentation of Animal Fibers.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features.
IEEE Trans. Instrum. Meas., 2021
Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status.
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Comput. Biol. Medicine, 2021
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
Identifying Pristine and Processed Animal Fibers using Machine Learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
Leveraging pre-trained Segmentation Networks for Anomaly Segmentation.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures.
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018.
CoRR, 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
GAN-based Defect Synthesis for Anomaly Detection in Fabrics.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Accurate Stitch Position Identification of Sewn Threads in Textiles.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis.
J. Open Source Softw., 2019
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Prediction of Liver Function Based on DCE-CT.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Image-based Survival Analysis for Lung Cancer Patients using CNNs.
CoRR, 2018
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018