Следене
Oliver Simons
Oliver Simons
Senior Research Engineer at Scortex
Потвърден имейл адрес: scortex.io
Заглавие
Позовавания
Позовавания
Година
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17412018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
9112023
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
6152022
Modeling the distribution of normal data in pre-trained deep features for anomaly detection
O Rippel, P Mertens, D Merhof
2020 25th International Conference on Pattern Recognition (ICPR), 6726-6733, 2021
2092021
Segmentation of brain tumors and patient survival prediction: Methods for the brats 2018 challenge
L Weninger, O Rippel, S Koppers, D Merhof
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
892019
Image-based survival prediction for lung cancer patients using CNNS
C Haarburger, P Weitz, O Rippel, D Merhof
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
542019
Gaussian anomaly detection by modeling the distribution of normal data in pretrained deep features
O Rippel, P Mertens, E König, D Merhof
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
432021
Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status
T Piotrowski, O Rippel, A Elanzew, B Nießing, S Stucken, S Jung, N König, ...
Computers in biology and medicine 129, 104172, 2021
332021
The StemCellFactory: a modular system integration for automated generation and expansion of human induced pluripotent stem cells
A Elanzew, B Nießing, D Langendoerfer, O Rippel, T Piotrowski, F Schenk, ...
Frontiers in bioengineering and biotechnology 8, 580352, 2020
312020
Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach
J Thüring, O Rippel, C Haarburger, D Merhof, P Schad, P Bruners, ...
European Radiology Experimental 4, 1-9, 2020
152020
Transfer learning gaussian anomaly detection by fine-tuning representations
O Rippel, A Chavan, C Lei, D Merhof
arXiv preprint arXiv:2108.04116, 2021
132021
GAN-based defect synthesis for anomaly detection in fabrics
O Rippel, M Müller, D Merhof
2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020
132020
Anomaly detection for the automated visual inspection of pet preform closures
O Rippel, P Haumering, J Brauers, D Merhof
2021 26th IEEE international conference on emerging technologies and factory …, 2021
42021
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection.
O Rippel, M Müller, A Münkel, T Gries, D Merhof
ICPRAM, 463-470, 2021
42021
Optimizing patchcore for few/many-shot anomaly detection
J Santos, T Tran, O Rippel
arXiv preprint arXiv:2307.10792, 2023
32023
Anomaly Detection for Automated Visual Inspection: A Review
O Rippel, D Merhof
Bildverarbeitung in der Automation: Ausgewählte Beiträge des …, 2023
32023
Increasing the generalization of supervised fabric anomaly detection methods to unseen fabrics
O Rippel, C Zwinge, D Merhof
Sensors 22 (13), 4750, 2022
32022
Leveraging pre-trained segmentation networks for anomaly segmentation
O Rippel, D Merhof
2021 26th IEEE International Conference on Emerging Technologies and Factory …, 2021
32021
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
O Rippel, L Weninger, D Merhof
arXiv preprint arXiv:2005.09978, 2020
32020
Panoptic segmentation of animal fibers
O Rippel, N Schönfelder, K Rahimi, J Kurniadi, A Herrmann, D Merhof
2022 IEEE International Instrumentation and Measurement Technology …, 2022
22022
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