Maier-Hein, Lena
- MONAI: An open-source framework for deep learning in healthcare
2022/11/04 by M. Jorge Cardoso, Cardoso, M. Jorge, Wenqi Li +109 · 93 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
- 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 · 59 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
- Analyzing Inverse Problems with Invertible Neural Networks
2018/08/14 by Ardizzone, Lynton, Kruse, Jakob, Wirkert, Sebastian +6 · 22 citations
#68T01 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
2021/01/04 by Allan, Max, Mcleod, Jonathan, Wang, Congcong +21 · 18 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 2017 Robotic Instrument Segmentation Challenge
2019/02/18 by Max Allan, Allan, Max, Alexey A. Shvets +34 · 18 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Anatomy and Medical Technology #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
- 2018 Robotic Scene Segmentation Challenge
2020/01/30 by Max Allan, Satoshi Kondo, Allan, Max +67 · 12 citations
Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Anatomy and Medical Technology #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Surgical Simulation and Training
- FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
2023/08/11 by Karim Lekadir, Lekadir, Karim, Aasa Feragen +214 · 14 citations
Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
- Surgical Data Science -- from Concepts toward Clinical Translation
2020/10/30 by Maier-Hein, Lena, Eisenmann, Matthias, Sarikaya, Duygu +47 · 9 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) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
2021/09/30 by Martin Wagner, Wagner, Martin, Beat P. Müller‐Stich +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 Maier-Hein, Lena, Martin Wagner, 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, Reinke, Annika, Minu D. Tizabi +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
- Generating large labeled data sets for laparoscopic image processing\n tasks using unpaired image-to-image translation
2019/07/05 by Micha Pfeiffer, Isabel Funke, Pfeiffer, Micha +26 · 3 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- 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
- Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
2023/05/11 by Aneeq Zia, Zia, Aneeq, Max Berniker +158 · 4 citations
Medicine · #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #Enhanced Recovery After Surgery #FOS: Computer and information sciences #Surgical Simulation and Training
- Overcoming Common Flaws in the Evaluation of Selective Classification Systems
2024/07/01 by Traub, Jeremias, Bungert, Till J., Lüth, Carsten T. +4 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- Self-distillation for surgical action recognition
2023/03/22 by Amine Yamlahi, Yamlahi, Amine, Thuy Nuong Tran +20 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion
2024/01/28 by Sharib Ali, Ali, Sharib, Yamid Espinel +37 · 3 citations
Medicine · Computer Science · #Surgical Simulation and Training #Augmented Reality Applications
- Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
2024/09/26 by Evangelia Christodoulou, Christodoulou, Evangelia, Annika Reinke +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
- Exploiting the potential of unlabeled endoscopic video data with\n self-supervised learning
2017/11/27 by Tobias L. Roß, Ross, Tobias, David Zimmerer +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
- Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
2018/05/07 by Bodenstedt, Sebastian, Allan, Max, Agustinos, Anthony +17 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 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)
- Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge
2022/12/08 by Aneeq Zia, Kiran Bhattacharyya, Zia, Aneeq +26 · 1 citation
Medicine · #Cardiac, Anesthesia and Surgical Outcomes #Surgical Simulation and Training #Artificial Intelligence in Healthcare and Education
- 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
- Super Phantoms: advanced models for testing medical imaging technologies
2023/08/24 by Manohar, Srirang, Sechopoulos, Ioannis, Anastasio, Mark A. +3 · 1 citation
#FOS: Physical sciences #Medical Physics (physics.med-ph)
- 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
- Large-scale Self-supervised Video Foundation Model for Intelligent Surgery
2025/06/03 by Yang, Shu, Zhou, Fengtao, Mayer, Leon +16 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences