Oliver Rippel

According to our database, Oliver Rippel authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

Optimizing PatchCore for Few/many-shot Anomaly Detection.

João Santos, Triet Tran, Oliver Rippel

CoRR, 2023

2022

Vision-based open set recognition for industrial inspection systems.

Oliver Rippel

PhD thesis, 2022

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics.

Oliver Rippel, Corinna Zwinge, Dorit Merhof

Sensors, 2022

Animal Fiber Identification under the Open Set Condition.

Oliver Rippel, Sergen Gülçelik, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations.

Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof

Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022

Panoptic Segmentation of Animal Fibers.

Oliver Rippel, Nikolaj Schönfelder, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021

Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features.

Oliver Rippel, Patrick Mertens, Eike König, Dorit Merhof

IEEE Trans. Instrum. Meas., 2021

The Medical Segmentation Decathlon.

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2021

Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status.

Tobias Piotrowski, Oliver Rippel, Andreas Elanzew, Bastian Nießing, Sebastian Stucken, Sven Jung, Niels König, Simone Haupt, Laura Stappert, Oliver Brüstle, Robert H. Schmitt, Stephan M. Jonas

Comput. Biol. Medicine, 2021

Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection.

Oliver Rippel, Maximilian Müller, Andreas Münkel, Thomas Gries, Dorit Merhof

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Identifying Pristine and Processed Animal Fibers using Machine Learning.

Oliver Rippel, Niclas Bilitewski, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Leveraging pre-trained Segmentation Networks for Anomaly Segmentation.

Oliver Rippel, Dorit Merhof

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.

Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2020

AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018.

Oliver Rippel, Leon Weninger, Dorit Merhof

CoRR, 2020

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection.

Oliver Rippel, Patrick Mertens, Dorit Merhof

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control.

Oliver Rippel, Maximilian Schnabel, Georg-Philipp Paar, Thomas Gries, Dorit Merhof

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

GAN-based Defect Synthesis for Anomaly Detection in Fabrics.

Oliver Rippel, Maximilian Müller, Dorit Merhof

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Accurate Stitch Position Identification of Sewn Threads in Textiles.

Dieter Geller, Tarek Stiebel, Oliver Rippel, Jonas Osburg, Volker Lutz, Thomas Gries, Dorit Merhof

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis.

Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof

J. Open Source Softw., 2019

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Prediction of Liver Function Based on DCE-CT.

Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

Image-based Survival Analysis for Lung Cancer Patients using CNNs.

Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof

CoRR, 2018

Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge.

Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018