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Wiestler, Benedikt

  1. The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
    2021/07/05 by Ujjwal Baid, Baid, Ujjwal, Satyam Ghodasara +141 · 73 citations
    Medicine · #Radiomics and Machine Learning in Medical Imaging #Glioma Diagnosis and Treatment #Medical Imaging Techniques and Applications
  2. 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 · 44 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)
  3. Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A\n Comparative Study
    2020/04/07 by Christoph Baur, Stefan Denner, Baur, Christoph +7 · 14 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  4. The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
    2023/05/30 by Adewole, Maruf, Rudie, Jeffrey D., Gbadamosi, Anu +48 · 16 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Medical Physics (physics.med-ph) #electronic engineering #information engineering
  5. The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
    2024/05/28 by Maria Correia de Verdier, Rachit Saluja, de Verdier, Maria Correia +166 · 21 citations
    Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
  6. The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
    2023/06/01 by Ahmed W. Moawad, Anastasia Janas, Moawad, Ahmed W. +296 · 12 citations
    Medicine · Neuroscience · #Brain Metastases and Treatment #Brain Tumor Detection and Classification #FOS: Biological sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Other Quantitative Biology (q-bio.OT) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  7. The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
    2023/05/12 by Dominic LaBella, LaBella, Dominic, Maruf Adewole +117 · 11 citations
    Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Glioma Diagnosis and Treatment #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meningioma and schwannoma management #Traumatic Brain Injury and Neurovascular Disturbances
  8. Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
    2023/03/27 by Julian McGinnis, McGinnis, Julian, Suprosanna Shit +21 · 9 citations
    Medicine · Engineering · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Medical Imaging and Analysis
  9. The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
    2021/12/13 by Baheti, Bhakti, Chakrabarty, Satrajit, Akbari, Hamed +70 · 7 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
  10. Diffusion Models with Implicit Guidance for Medical Anomaly Detection
    2024/03/13 by Bercea, Cosmin I., Wiestler, Benedikt, Rueckert, Daniel +1 · 8 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
  11. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
    2023/05/26 by Anahita Fathi Kazerooni, Kazerooni, Anahita Fathi, Nastaran Khalili +132 · 6 citations
    Medicine · #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #Radiation Therapy and Dosimetry
  12. The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
    2023/05/15 by Florian Kofler, Felix Meissen, Kofler, Florian +164 · 8 citations
    Computer Science · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  13. Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
    2021/11/07 by Ivan Ezhov, Kevin Scibilia, Ezhov, Ivan +27 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #Cell Image Analysis Techniques #Computational Engineering #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Finance #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #and Science (cs.CE) #electronic engineering #information engineering
  14. Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
    2024/03/21 by Durrer, Alicia, Wolleb, Julia, Bieder, Florentin +12 · 6 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
  15. A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
    2021/03/10 by Liebl, Hans, Schinz, David, Sekuboyina, Anjany +13 · 3 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
  16. 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)
  17. The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
    2023/05/15 by Hongwei Li, Li, Hongwei Bran, Gian Marco Conte +125 · 3 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Medical Image Segmentation Techniques
  18. BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
    2024/07/11 by Anahita Fathi Kazerooni, Kazerooni, Anahita Fathi, Nastaran Khalili +156 · 4 citations
    Medicine · #Radiomics and Machine Learning in Medical Imaging #Glioma Diagnosis and Treatment #Medical Imaging Techniques and Applications
  19. The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
    2024/04/23 by Anahita Fathi Kazerooni, Kazerooni, Anahita Fathi, Nastaran Khalili +137 · 4 citations
    Pharmacology, Toxicology and Pharmaceutics · Medicine · #Chemical Reactions and Isotopes #Radiation Therapy and Dosimetry #Glioma Diagnosis and Treatment
  20. Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
    2024/09/30 by Michał Balcerak, Tamaz Amiranashvili, Balcerak, Michal +17 · 5 citations
    Computer Science · Medicine · #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Advanced MRI Techniques and Applications
  21. FedCostWAvg: A new averaging for better Federated Learning
    2021/11/16 by Mächler, Leon, Ezhov, Ivan, Kofler, Florian +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
    2022/08/15 by Carole H. Sudre, Kimberlin Van Wijnen, Sudre, Carole H. +95 · 2 citations
    Neuroscience · Medicine · #Cerebrospinal fluid and hydrocephalus #Intracerebral and Subarachnoid Hemorrhage Research #Fetal and Pediatric Neurological Disorders
  23. QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
    2024/03/19 by Hongwei Bran, Li, Hongwei Bran, Fernando Navarro +154 · 3 citations
    Medicine · #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
  24. ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
    2023/01/18 by Prabhakar, Chinmay, Li, Hongwei Bran, Yang, Jiancheng +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  25. Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
    2023/11/28 by Ivan Ezhov, Zhang, Ray Zirui, Ezhov, Ivan +10 · 3 citations
    Mathematics · Medicine · #35Q92 #92-08 #92C50 #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Glioma Diagnosis and Treatment #I.2.6 #Image and Video Processing (eess.IV) #J.2 #J.3 #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Quantitative Methods (q-bio.QM) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  26. MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
    2024/07/21 by Malek Ben Alaya, Daniel M. Lang, Alaya, Malek Ben +7 · 3 citations
    Computer Science · Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  27. Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
    2025/04/16 by Nazanin Maleki, Raisa Amiruddin, Maleki, Nazanin +336 · 6 citations
    Medicine · #Brain Metastases and Treatment #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
  28. Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration
    2025/09/08 by Che Liu, Liu, Che, Yinda Chen +39 · 11 citations
    Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Infrared Thermography in Medicine
  29. Towards Universal Unsupervised Anomaly Detection in Medical Imaging
    2024/01/19 by Cosmin I. Bercea, Bercea, Cosmin I., Benedikt Wiestler +5 · 2 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using 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
  30. A Learnable Prior Improves Inverse Tumor Growth Modeling
    2024/03/07 by Weidner, Jonas, Ezhov, Ivan, Balcerak, Michal +11 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph)
  31. Bias in Unsupervised Anomaly Detection in Brain MRI
    2023/08/26 by Cosmin I. Bercea, Bercea, Cosmin I., Esther Puyol‐Antón +9 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #SARS-CoV-2 detection and testing
  32. Addressing Benchmarking Gaps in Large Language Models for Health and Medicine with Dynamic Red-Teaming
    2025/07/30 by Jiazhen Pan, Pan, Jiazhen, Bailiang Jian +42 · 1 voice · 7 citations
    Computer Science · Medicine · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI
  33. Beyond the LUMIR challenge: The pathway to foundational registration models
    2025/05/30 by Chen, Junyu, Wei, Shuwen, Honkamaa, Joel +33 · 7 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
  34. Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings
    2022/05/17 by Florian Kofler, Kofler, Florian, Ivan Ezhov +31 · 1 citation
    Engineering · Medicine · #Advanced X-ray and CT Imaging #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) #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  35. Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
    2023/03/15 by Bercea, Cosmin I, Wiestler, Benedikt, Rueckert, Daniel +1 · 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
  36. BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
    2025/06/13 by Florian Kofler, Marcel Rosier, Kofler, Florian +70 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Cell Image Analysis Techniques #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
  37. Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
    2024/04/11 by Li, Jun, Kim, Su Hwan, Müller, Philip +5 · 2 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  38. Approaching Peak Ground Truth
    2022/12/31 by Kofler, Florian, Wahle, Johannes, Ezhov, Ivan +15 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
    2025/05/20 by Cosmin I. Bercea, Jun Li, Bercea, Cosmin I. +29 · 1 voice · 3 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #cs.AI #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering
  40. ISLES'24 - A Real-World Longitudinal Multimodal Stroke Dataset
    2024/08/20 by Evamaria Olga Riedel, Riedel, Evamaria Olga, Ezequiel de la Rosa +36 · 2 citations
    Medicine · #Acute Ischemic Stroke Management #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Stroke Rehabilitation and Recovery
  41. 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
  42. Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge
    2024/05/28 by Dominic LaBella, LaBella, Dominic, Abramova, Valeriia +161 · 1 citation
    Computer Science · Engineering · Neuroscience · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Medical Imaging and Analysis
  43. Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
    2024/07/04 by Mehmet Yigit Avci, Avci, Mehmet Yigit, Emily Chan +11 · 1 citation
    Computer Science · #AI in cancer detection #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
  44. ISLES'24: Final Infarct Prediction with Multimodal Imaging and Clinical Data. Where Do We Stand?
    2024/08/20 by de la Rosa, Ezequiel, Su, Ruisheng, Reyes, Mauricio +37 · 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
  45. A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration
    2024/12/18 by Weidner, Jonas, Balcerak, Michal, Ezhov, Ivan +6 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph)
  46. A Framework for Multimodal Medical Image Interaction
    2024/07/09 by Laura Schütz, Schütz, Laura, Sasan Matinfar +15 · 2 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #H.5.1 #H.5.2 #H.5.5 #Human-Computer Interaction (cs.HC) #Image Retrieval and Classification Techniques #J.3 #Multimedia (cs.MM) #Sound (cs.SD) #electronic engineering #information engineering
  47. TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
    2025/01/15 by Bailiang Jian, Jian, Bailiang, Jiazhen Pan +13 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #electronic engineering #information engineering