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Isensee, Fabian

  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 Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 51 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
    2018/09/27 by Fabian Isensee, Jens Petersen, Isensee, Fabian +19 · 41 citations
    Computer Science · Medicine · Neuroscience · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Brain Tumor Detection and Classification
  3. nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
    2024/04/15 by Fabian Isensee, Tassilo Wald, Isensee, Fabian +11 · 80 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
  4. MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
    2023/03/17 by Saikat Roy, Gregor Koehler, Roy, Saikat +13 · 44 citations
    Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #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) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  5. The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
    2019/12/02 by Heller, Nicholas, Isensee, Fabian, Maier-Hein, Klaus H. +38 · 21 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
  6. The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
    2023/07/05 by Nicholas Heller, Heller, Nicholas, Fabian Isensee +87 · 22 citations
    Computer Science · Engineering · Medicine · #Advanced Neural Network Applications #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Renal cell carcinoma treatment
  7. nnU-Net for Brain Tumor Segmentation
    2020/11/02 by Isensee, Fabian, Jaeger, Paul F., Full, Peter M. +2 · 12 citations
    #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
  8. Unsupervised Anomaly Localization using Variational Auto-Encoders
    2019/07/04 by Zimmerer, David, Isensee, Fabian, Petersen, Jens +2 · 9 citations
    #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
  9. The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
    2023/12/29 by Kaiyuan Yang, Fabio Musio, Yang, Kaiyuan +225 · 17 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #cs.CV #cs.LG #q-bio.QM #q-bio.TO
  10. Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
    2018/12/14 by Zimmerer, David, Kohl, Simon A. A., Petersen, Jens +2 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Common Limitations of Image Processing Metrics:A Picture Story
    2021/04/12 by Annika Reinke, Reinke, Annika, Minu D. Tizabi +124 · 8 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
  12. nnInteractive: Redefining 3D Promptable Segmentation
    2025/03/11 by Fabian Isensee, Maximilian Rokuss, Isensee, Fabian +23 · 19 citations
    Computer Science · Engineering · #Computer Graphics and Visualization Techniques #3D Shape Modeling and Analysis
  13. Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
    2024/04/03 by Yannick Kirchhoff, Maximilian Rokuss, Kirchhoff, Yannick +18 · 10 citations
    Engineering · #Additive Manufacturing and 3D Printing Technologies #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) #Manufacturing Process and Optimization #Modular Robots and Swarm Intelligence #electronic engineering #information engineering
  14. No New-Net
    2018/09/27 by Isensee, Fabian, Kickingereder, Philipp, Wick, Wolfgang +2 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. 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
  16. Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
    2024/11/06 by Pedro R. A. S. Bassi, Wenxuan Li, Bassi, Pedro R. A. S. +103 · 13 citations
    Engineering · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis
  17. Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
    2022/12/03 by René Caspart, Caspart, René, Sebastian Ziegler +23 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)
  18. 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)
  19. Extending nnU-Net is all you need
    2022/08/23 by Fabian Isensee, Isensee, Fabian, Constantin Ulrich +5 · 3 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  20. Primus: Enforcing Attention Usage for 3D Medical Image Segmentation
    2025/03/03 by Tassilo Wald, Saikat Roy, Wald, Tassilo +17 · 8 citations
    Computer Science · Engineering · #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Computer Graphics and Visualization Techniques
  21. Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
    2024/09/20 by Maximilian Rokuss, Rokuss, Maximilian, Yannick Kirchhoff +20 · 6 citations
    Computer Science · Medicine · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #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) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  22. From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
    2024/09/14 by Rokuss, Maximilian, Kovacs, Balint, Kirchhoff, Yannick +4 · 4 citations
    #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) #electronic engineering #information engineering
  23. 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
  24. ParticleSeg3D: A Scalable Out-of-the-Box Deep Learning Segmentation Solution for Individual Particle Characterization from Micro CT Images in Mineral Processing and Recycling
    2023/01/30 by Karol Gotkowski, Shuvam Gupta, Gotkowski, Karol +9 · 2 citations
    Engineering · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #Mineral Processing and Grinding
  25. Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
    2018/02/28 by Isensee, Fabian, Kickingereder, Philipp, Wick, Wolfgang +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  26. An attempt at beating the 3D U-Net
    2019/08/06 by Isensee, Fabian, Maier-Hein, Klaus H. · 1 citation
    #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
  27. Deep Probabilistic Modeling of Glioma Growth
    2019/07/09 by Petersen, Jens, Jäger, Paul F., Isensee, Fabian +8 · 1 citation
    #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
  28. 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 · 5 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)
  29. Studying Robustness of Semantic Segmentation under Domain Shift in\n cardiac MRI
    2020/11/15 by Peter M. Full, Fabian Isensee, Full, Peter M. +5 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  30. Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
    2024/06/05 by Maximilian Zenk, David Zimmerer, Zenk, Maximilian +11 · 2 citations
    Medicine · #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  31. Scaling nnU-Net for CBCT Segmentation
    2024/11/26 by Fabian Isensee, Yannick Kirchhoff, Isensee, Fabian +9 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
  32. Continuous-Time Deep Glioma Growth Models
    2021/06/23 by Petersen, Jens, Isensee, Fabian, Köhler, Gregor +9 · 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
  33. 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
  34. How can we learn (more) from challenges? A statistical approach to driving future algorithm development
    2021/06/17 by Roß, Tobias, Bruno, Pierangela, Reinke, Annika +12 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. Expectation-Maximization as the Engine of Scalable Medical Intelligence
    2025/01/06 by Wenxuan Li, Li, Wenxuan, Pedro R. A. S. Bassi +37 · 4 citations
    Decision Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Scientific Computing and Data Management
  36. Direct White Matter Bundle Segmentation using Stacked U-Nets
    2017/03/06 by Jakob Wasserthal, Wasserthal, Jakob, Peter Neher +5 · 1 citation
    Medicine · #Advanced Neuroimaging Techniques and Applications #Bone and Joint Diseases #Fetal and Pediatric Neurological Disorders
  37. RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
    2023/09/14 by Gregor Koehler, Tassilo Wald, Koehler, Gregor +15 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
  38. 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
  39. Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
    2025/02/07 by Imran, Muhammad, Krebs, Jonathan R., Sivaraman, Vishal Balaji +60 · 4 citations
    #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
  40. Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection
    2023/09/07 by Kovacs, Balint, Netzer, Nils, Baumgartner, Michael +17 · 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) #electronic engineering #information engineering
  41. Biomedical image analysis competitions: The state of current participation practice
    2022/12/16 by Matthias Eisenmann, Eisenmann, Matthias, Annika Reinke +452 · 1 citation
    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