Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge. - Leon Weninger; Oliver Rippel; Simon Koppers; Dorit Merhof (BrainLes@MICCAI (2), 2018)

Image-based Survival Analysis for Lung Cancer Patients using CNNs. - Christoph Haarburger; Philippe Weitz; Oliver Rippel; Dorit Merhof (CoRR, 2018)

Prediction of Liver Function Based on DCE-CT. - Oliver Rippel; Daniel Truhn; Johannes Thüring; Christoph Haarburger; Christiane K. Kuhl; Dorit Merhof (Bildverarbeitung für die Medizin, 2019)

Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. - Christoph Haarburger; Philippe Weitz; Oliver Rippel; Dorit Merhof (ISBI, 2019)

Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. - Christoph Haarburger; Justus Schock; Michael Baumgartner 001; Oliver Rippel; Dorit Merhof (J. Open Source Softw., 2019)

Accurate Stitch Position Identification of Sewn Threads in Textiles. - Dieter Geller; Tarek Stiebel; Oliver Rippel; Jonas Osburg; Volker Lutz; Thomas Gries; Dorit Merhof (ETFA, 2020)

GAN-based Defect Synthesis for Anomaly Detection in Fabrics. - Oliver Rippel; Maximilian Müller; Dorit Merhof (ETFA, 2020)

Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control. - Oliver Rippel; Maximilian Schnabel; Georg-Philipp Paar; Thomas Gries; Dorit Merhof (I2MTC, 2020)

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. - Oliver Rippel; Patrick Mertens; Dorit Merhof (ICPR, 2020)

AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. - Oliver Rippel; Leon Weninger; Dorit Merhof (CoRR, 2020)

Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. - Oliver Rippel; Peter Haumering; Johannes Brauers; Dorit Merhof (ETFA, 2021)

Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. - Oliver Rippel; Dorit Merhof (ETFA, 2021)

Identifying Pristine and Processed Animal Fibers using Machine Learning. - Oliver Rippel; Niclas Bilitewski; Khosrow Rahimi; Juliana Kurniadi; Andreas Herrmann; Dorit Merhof (I2MTC, 2021)

Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection. - Oliver Rippel; Maximilian Müller; Andreas Münkel; Thomas Gries; Dorit Merhof (ICPRAM, 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)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 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)

Panoptic Segmentation of Animal Fibers. - Oliver Rippel; Nikolaj Schönfelder; Khosrow Rahimi; Juliana Kurniadi; Andreas Herrmann; Dorit Merhof (I2MTC, 2022)

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations. - Oliver Rippel; Arnav Chavan; Chucai Lei; Dorit Merhof (IMPROVE, 2022)

Animal Fiber Identification under the Open Set Condition. - Oliver Rippel; Sergen Gülçelik; Khosrow Rahimi; Juliana Kurniadi; Andreas Herrmann; Dorit Merhof (VISIGRAPP (5: VISAPP), 2022)

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics. - Oliver Rippel; Corinna Zwinge; Dorit Merhof (Sensors, 2022)

Vision-based open set recognition for industrial inspection systems. - Oliver Rippel (2022)

Optimizing PatchCore for Few/many-shot Anomaly Detection. - João Santos; Triet Tran; Oliver Rippel (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)