Benedikt Wiestler
- The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
2021/07/05 by Ujjwal Baid, Satyam Ghodasara, Baid, Ujjwal +141 · 75 citations
Medicine · #Radiomics and Machine Learning in Medical Imaging #Glioma Diagnosis and Treatment #Medical Imaging Techniques and Applications
- Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A\n Comparative Study
2020/04/07 by Christoph Baur, Stefan Denner, Baur, Christoph +7 · 15 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
- 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 · 22 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
- 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
- The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
2023/05/12 by Dominic LaBella, LaBella, Dominic, Maruf Adewole +117 · 12 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
- The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
2023/12/29 by Kaiyuan Yang, Yang, Kaiyuan, Fabio Musio +225 · 13 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #cs.CV #cs.LG #q-bio.QM #q-bio.TO
- 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
- The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
2023/05/26 by Anahita Fathi Kazerooni, Nastaran Khalili, Kazerooni, Anahita Fathi +132 · 6 citations
Medicine · #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #Radiation Therapy and Dosimetry
- 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
- CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN
2022/07/15 by Matan Atad, Vitalii Dmytrenko, Atad, Matan +15 · 3 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #COVID-19 diagnosis using AI #Machine Learning in Healthcare
- Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
2023/12/08 by Michał Balcerak, Jonas Weidner, Balcerak, Michal +17 · 5 citations
Mathematics · #Mathematical Biology Tumor Growth
- 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
- BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
2024/07/11 by Anahita Fathi Kazerooni, Nastaran Khalili, Kazerooni, Anahita Fathi +156 · 4 citations
Medicine · #Radiomics and Machine Learning in Medical Imaging #Glioma Diagnosis and Treatment #Medical Imaging Techniques and Applications
- 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, Nastaran Khalili, Kazerooni, Anahita Fathi +137 · 4 citations
Pharmacology, Toxicology and Pharmaceutics · Medicine · #Chemical Reactions and Isotopes #Radiation Therapy and Dosimetry #Glioma Diagnosis and Treatment
- Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
2024/09/30 by Michał Balcerak, Balcerak, Michal, Tamaz Amiranashvili +17 · 5 citations
Computer Science · Medicine · #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Advanced MRI Techniques and Applications
- Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
2022/08/15 by Carole H. Sudre, Sudre, Carole H., Kimberlin Van Wijnen +95 · 2 citations
Neuroscience · Medicine · #Cerebrospinal fluid and hydrocephalus #Intracerebral and Subarachnoid Hemorrhage Research #Fetal and Pediatric Neurological Disorders
- 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
- 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
- Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings
2022/05/17 by Florian Kofler, Kofler, Florian, Ivan Ezhov +31 · 2 citations
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
- MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
2024/07/21 by Malek Ben Alaya, Alaya, Malek Ben, Daniel M. Lang +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
- 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, Maleki, Nazanin, Raisa Amiruddin +336 · 6 citations
Medicine · #Brain Metastases and Treatment #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
- 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
- Towards Universal Unsupervised Anomaly Detection in Medical Imaging
2024/01/19 by Cosmin I. Bercea, Benedikt Wiestler, Bercea, Cosmin I. +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
- 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
- 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
- Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study
2024/12/12 by Hamed Akbari, Spyridon Bakas, Chiharu Sako +85 · 2 voices · 1 citation
Medicine · Neuroscience · #Brain Tumor Detection and Classification #Glioma Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
- Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
2023/03/15 by Cosmin I. Bercea, Benedikt Wiestler, Bercea, Cosmin I +5 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #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) #Machine Learning in Healthcare #electronic engineering #information engineering
- BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
2025/06/13 by Florian Kofler, Kofler, Florian, Marcel Rosier +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
- NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
2025/05/20 by Cosmin I. Bercea, Bercea, Cosmin I., Jun Li +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
- ISLES'24 - A Real-World Longitudinal Multimodal Stroke Dataset
2024/08/20 by Evamaria Olga Riedel, Ezequiel de la Rosa, Riedel, Evamaria Olga +36 · 2 citations
Medicine · #Acute Ischemic Stroke Management #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Stroke Rehabilitation and Recovery
- 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
- 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
- BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
2025/06/26 by Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +77 · 1 voice · 3 citations
Medicine · #Radiomics and Machine Learning in Medical Imaging #Glioma Diagnosis and Treatment #Medical Imaging Techniques and Applications
- 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
- TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis
2025/01/15 by Bailiang Jian, Jiazhen Pan, Jian, Bailiang +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