Rippel, Oliver

1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
   2018/11/05 by Spyridon Bakas, Bakas, Spyridon, Mauricio Reyes +845 · 60 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CV #cs.LG #stat.ML
2. Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
   2020/05/28 by Oliver Rippel, Rippel, Oliver, Patrick Mertens +3 · 11 citations
   Computer Science · Engineering · Medicine · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
3. Optimizing PatchCore for Few/many-shot Anomaly Detection
   2023/07/20 by João Santos, Triet Tran, Santos, João +3 · 2 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)