Paul F. R. Wilson
Orcid: 0009-0000-7299-8330
  According to our database1,
  Paul F. R. Wilson
  authored at least 16 papers
  between 2022 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
    CoRR, September, 2025
    
  
Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography.
    
  
    CoRR, September, 2025
    
  
    CoRR, May, 2025
    
  
TRUSWorthy: toward clinically applicable deep learning for confident detection of prostate cancer in micro-ultrasound.
    
  
    Int. J. Comput. Assist. Radiol. Surg., May, 2025
    
  
ProTeUS: A Spatio-Temporal Enhanced Ultrasound-Based Framework for Prostate Cancer Detection.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
    
  
CINEPRO: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops.
    
  
    Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
    
  
Self-supervised Prototype Learning for Spatio-Temporal Enhanced Ultrasound-based Prostate Cancer Detection.
    
  
    Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
    
  
  2024
LensePro: label noise-tolerant prototype-based network for improving cancer detection in prostate ultrasound with limited annotations.
    
  
    Int. J. Comput. Assist. Radiol. Surg., June, 2024
    
  
    Int. J. Comput. Assist. Radiol. Surg., May, 2024
    
  
    CoRR, 2024
    
  
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection.
    
  
    Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
    
  
ProstNFound: Integrating Foundation Models with Ultrasound Domain Knowledge and Clinical Context for Robust Prostate Cancer Detection.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
    
  
Assessing the Performance of Foundation Models in Prostate Segmentation Across Different Ultrasound Modalities.
    
  
    Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2024
    
  
  2023
TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.
    
  
    Int. J. Comput. Assist. Radiol. Surg., July, 2023
    
  
  2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound.
    
  
    CoRR, 2022
    
  
Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022