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Kopp-Schneider, Annette

  1. 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 +52 · 114 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #cs.CV #eess.IV
  2. BIAS: Transparent reporting of biomedical image analysis challenges
    2019/10/09 by Lena Maier-Hein, Annika Reinke, Maier-Hein, Lena +25 · 10 citations
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #cs.CV #cs.CY #eess.IV #electronic engineering #information engineering
  3. Why is the winner the best?
    2023/03/30 by Matthias Eisenmann, Annika Reinke, Eisenmann, Matthias +247 · 1 voice · 5 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  4. 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
  5. Methods and open-source toolkit for analyzing and visualizing challenge results
    2019/10/11 by Manuel Wiesenfarth, Wiesenfarth, Manuel, Annika Reinke +9 · 7 citations
    Computer Science · Mathematics · #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV #stat.AP
  6. Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room
    2020/05/07 by Lena Maier-Hein, Maier-Hein, Lena, Martin Wagner +72 · 6 citations
    Computer Science · Medicine · #Colorectal Cancer Screening and Detection #Colorectal Cancer Surgical Treatments #Surgical Simulation and Training #cs.CV
  7. Robust Medical Instrument Segmentation Challenge 2019
    2020/03/23 by Tobias L. Roß, Tobias Ross, Annika Reinke +107 · 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 #cs.CV
  8. 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
  9. 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 · 5 citations
    Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
  10. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
    2017/11/27 by Tobias L. Roß, Tobias Ross, David Zimmerer +31 · 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 #cs.CV
  11. Biomedical image analysis competitions: The state of current participation practice
    2022/12/16 by Matthias Eisenmann, Annika Reinke, Eisenmann, Matthias +452 · 2 citations
    Engineering · Medicine · #Artificial Intelligence in Healthcare and Education #Biomedical and Engineering Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
  12. Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information
    2023/02/24 by Annette Kopp‐Schneider, Manuel Wiesenfarth, Kopp-Schneider, Annette +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
  13. Quality Assured: Rethinking Annotation Strategies in Imaging AI
    2024/07/24 by Tim Rädsch, Annika Reinke, Rädsch, Tim +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
  14. How can we learn (more) from challenges? A statistical approach to driving future algorithm development
    2021/06/17 by Tobias Roß, Pierangela Bruno, Roß, Tobias +27 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  15. False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
    2025/05/07 by Evangelia Christodoulou, Annika Reinke, Christodoulou, Evangelia +46 · 2 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Radiomics and Machine Learning in Medical Imaging