Oliver Rippel
RWTH Aachen University(DE)
Publications by Year
Research Areas
Industrial Vision Systems and Defect Detection, Anomaly Detection Techniques and Applications, Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging, Optical measurement and interference techniques
Most-Cited Works
- → The Medical Segmentation Decathlon(2022)1,123 cited
- → The Liver Tumor Segmentation Benchmark (LiTS)(2022)1,082 cited
- → Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge(2019)94 cited
- → Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features(2021)73 cited
- → Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status(2020)46 cited
- → The StemCellFactory: A Modular System Integration for Automated Generation and Expansion of Human Induced Pluripotent Stem Cells(2020)42 cited
- → Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach(2020)17 cited
- → GAN-based Defect Synthesis for Anomaly Detection in Fabrics(2020)16 cited
- → Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection(2021)16 cited