Reinke, Annika
- Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
2021/09/30 by Martin Wagner, Beat P. Müller‐Stich, Wagner, Martin +78 · 6 citations
Medicine · #Surgical Simulation and Training #Cardiac, Anesthesia and Surgical Outcomes
- BIAS: Transparent reporting of biomedical image analysis challenges
2019/10/09 by Maier-Hein, Lena, Reinke, Annika, Kozubek, Michal +11 · 4 citations
#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) #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 · 4 citations
Medicine · #Colorectal Cancer Screening and Detection #Surgical Simulation and Training #Colorectal Cancer Surgical Treatments
- Common Limitations of Image Processing Metrics:A Picture Story
2021/04/12 by Annika Reinke, Minu D. Tizabi, Reinke, Annika +124 · 4 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
- Methods and open-source toolkit for analyzing and visualizing challenge results
2019/10/11 by Wiesenfarth, Manuel, Reinke, Annika, Landman, Bennett A. +3 · 3 citations
#Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
2023/05/15 by Kofler, Florian, Meissen, Felix, Steinbauer, Felix +103 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Why is the winner the best?
2023/03/30 by Eisenmann, Matthias, Reinke, Annika, Weru, Vivienn +122 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Labeling instructions matter in biomedical image analysis
2022/07/20 by Tim Rädsch, Annika Reinke, Rädsch, Tim +17 · 3 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 · 2 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education
- Robust Medical Instrument Segmentation Challenge 2019
2020/03/23 by Ross, Tobias, Reinke, Annika, Full, Peter M. +47 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- The Federated Tumor Segmentation (FeTS) Challenge
2021/05/12 by Pati, Sarthak, Baid, Ujjwal, Zenk, Maximilian +29 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Quality Assured: Rethinking Annotation Strategies in Imaging AI
2024/07/24 by Rädsch, Tim, Reinke, Annika, Weru, Vivienn +5 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Bridging vision language model (VLM) evaluation gaps with a framework for scalable and cost-effective benchmark generation
2025/02/21 by Rädsch, Tim, Mayer, Leon, Pavicic, Simon +8 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Challenge Results Are Not Reproducible
2023/07/14 by Annika Reinke, Reinke, Annika, Georg Grab +2 · 1 citation
Materials Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Materials Science #Radiomics and Machine Learning in Medical Imaging
- Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
2023/12/05 by Kofler, Florian, Möller, Hendrik, Buchner, Josef A. +18 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- 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