vix.ing · top · new · best · stats · spec

Bercea, Cosmin I.

  1. Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
    2023/05/31 by Cosmin I. Bercea, Bercea, Cosmin I., Michael Neumayr +5 · 10 citations
    Computer Science · Mathematics · #Machine Learning in Healthcare #Generative Adversarial Networks and Image Synthesis #Statistical Methods and Inference
  2. 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
  3. Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
    2024/03/21 by Durrer, Alicia, Wolleb, Julia, Bieder, Florentin +12 · 5 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
  4. 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
  5. Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
    2024/07/21 by Hanna Mykula, L. Gasser, Mykula, Hanna +9 · 3 citations
    Computer Science · #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Speech Recognition and Synthesis #electronic engineering #information engineering
  6. FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
    2024/10/01 by Wu, Peiran, Liu, Che, Chen, Canyu +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. 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
  8. 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
  9. 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
  10. What do we learn? Debunking the Myth of Unsupervised Outlier Detection
    2022/06/08 by Bercea, Cosmin I., Rueckert, Daniel, Schnabel, Julia A. · 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
  11. 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
  12. 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
  13. Denoising Diffusion Models for Anomaly Localization in Medical Images
    2024/10/31 by Cosmin I. Bercea, Philippe C. Cattin, Bercea, Cosmin I. +5 · 1 voice · 1 citation
    Computer Science · #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
  14. Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
    2024/07/04 by Mehmet Yigit Avci, Emily Chan, Avci, Mehmet Yigit +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
  15. Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
    2024/06/12 by Di Folco, Maxime, Bercea, Cosmin I., Chan, Emily +1 · 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