Annette Kopp‐Schneider
- A large annotated medical image dataset for the development and evaluation of segmentation algorithms
2019/02/25 by Amber L. Simpson, Simpson, Amber L., Michela Antonelli +45 · 108 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
- Common Limitations of Image Processing Metrics:A Picture Story
2021/04/12 by Annika Reinke, Reinke, Annika, Minu D. Tizabi +124 · 9 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor\n Operating Room
2020/05/07 by Martin Wagner, Maier-Hein, Lena, Wagner, Martin +62 · 6 citations
Medicine · #Colorectal Cancer Screening and Detection #Surgical Simulation and Training #Colorectal Cancer Surgical Treatments
- Robust Medical Instrument Segmentation Challenge 2019
2020/03/23 by Tobias L. Roß, Annika Reinke, Ross, Tobias +97 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization
- Labeling instructions matter in biomedical image analysis
2022/07/20 by Tim Rädsch, Rädsch, Tim, Annika Reinke +17 · 4 citations
Medicine · Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence in Healthcare and Education #Cell Image Analysis Techniques #Biomedical Text Mining and Ontologies
- Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
2024/09/26 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +44 · 1 voice · 4 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
- Exploiting the potential of unlabeled endoscopic video data with\n self-supervised learning
2017/11/27 by Tobias L. Roß, David Zimmerer, Ross, Tobias +26 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information
2023/02/24 by Annette Kopp‐Schneider, Kopp-Schneider, Annette, Manuel Wiesenfarth +5 · 2 citations
Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
- Quality Assured: Rethinking Annotation Strategies in Imaging AI
2024/07/24 by Tim Rädsch, Rädsch, Tim, Annika Reinke +13 · 2 citations
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
- False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
2025/05/07 by Evangelia Christodoulou, Christodoulou, Evangelia, Annika Reinke +46 · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Radiomics and Machine Learning in Medical Imaging