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ORCIDOliver Rippel
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2020 – today
- 2023
[j5]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:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023)- [i6]João Santos, Triet Tran, Oliver Rippel:
Optimizing PatchCore for Few/many-shot Anomaly Detection. CoRR abs/2307.10792 (2023) - 2022
- [b1]Oliver Rippel:
Vision-based open set recognition for industrial inspection systems. RWTH Aachen University, Germany, 2022 - [j4]Oliver Rippel, Corinna Zwinge, Dorit Merhof:
Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics. Sensors 22(13): 4750 (2022) - [c14]Oliver Rippel, Nikolaj Schönfelder, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Panoptic Segmentation of Animal Fibers. I2MTC 2022: 1-6 - [c13]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations. IMPROVE 2022: 45-56 - [c12]Oliver Rippel, Sergen Gülçelik, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Animal Fiber Identification under the Open Set Condition. VISIGRAPP (5: VISAPP) 2022: 36-47 - 2021
- [j3]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:
Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. Comput. Biol. Medicine 129: 104172 (2021) - [j2]Oliver Rippel, Patrick Mertens, Eike König, Dorit Merhof:
Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c11]Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof:
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. ETFA 2021: 1-7 - [c10]Oliver Rippel, Dorit Merhof:
Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. ETFA 2021: 1-4 - [c9]Oliver Rippel, Niclas Bilitewski, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Identifying Pristine and Processed Animal Fibers using Machine Learning. I2MTC 2021: 1-6 - [c8]Oliver Rippel, Maximilian Müller, Andreas Münkel, Thomas Gries, Dorit Merhof:
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection. ICPRAM 2021: 463-470 - [i5]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:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i4]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations. CoRR abs/2108.04116 (2021) - 2020
- [c7]Dieter Geller, Tarek Stiebel, Oliver Rippel, Jonas Osburg, Volker Lutz, Thomas Gries, Dorit Merhof:
Accurate Stitch Position Identification of Sewn Threads in Textiles. ETFA 2020: 505-512 - [c6]Oliver Rippel, Maximilian Müller, Dorit Merhof:
GAN-based Defect Synthesis for Anomaly Detection in Fabrics. ETFA 2020: 534-540 - [c5]Oliver Rippel, Maximilian Schnabel, Georg-Philipp Paar, Thomas Gries, Dorit Merhof:
Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control. I2MTC 2020: 1-6 - [c4]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. ICPR 2020: 6726-6733 - [i3]Oliver Rippel, Leon Weninger, Dorit Merhof:
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. CoRR abs/2005.09978 (2020) - [i2]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. CoRR abs/2005.14140 (2020)
2010 – 2019
- 2019
- [j1]Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof:
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4(38): 1488 (2019) - [c3]Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof:
Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin 2019: 8-13 - [c2]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI 2019: 1197-1201 - 2018
- [c1]Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof:
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge. BrainLes@MICCAI (2) 2018: 3-12 - [i1]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-based Survival Analysis for Lung Cancer Patients using CNNs. CoRR abs/1808.09679 (2018)
Coauthor Index
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