Frank J. Brooks
  According to our database1,
  Frank J. Brooks
  authored at least 18 papers
  between 2013 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure.
    
  
    CoRR, March, 2025
    
  
  2024
Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context.
    
  
    IEEE Trans. Medical Imaging, October, 2024
    
  
A method for evaluating deep generative models of images for hallucinations in high-order spatial context.
    
  
    Pattern Recognit. Lett., 2024
    
  
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics.
    
  
    CoRR, 2024
    
  
  2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics.
    
  
    IEEE Trans. Medical Imaging, June, 2023
    
  
Evaluating generative stochastic image models using task-based image quality measures.
    
  
    Proceedings of the Medical Imaging 2023: Image Perception, 2023
    
  
  2022
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions.
    
  
    CoRR, 2022
    
  
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging.
    
  
    Proceedings of the Medical Imaging 2022: Image Perception, 2022
    
  
Evaluating the capacity of deep generative models to reproduce measurable high-order spatial arrangements in diagnostic images.
    
  
    Proceedings of the Medical Imaging 2022: Image Processing, 2022
    
  
  2021
    IEEE Trans. Medical Imaging, 2021
    
  
A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context.
    
  
    CoRR, 2021
    
  
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs.
    
  
    CoRR, 2021
    
  
    Proceedings of the Medical Imaging 2021: Image Perception, 2021
    
  
Assessing regularization in tomographic imaging via hallucinations in the null space.
    
  
    Proceedings of the Medical Imaging 2021: Image Perception, 2021
    
  
  2020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs.
    
  
    CoRR, 2020
    
  
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements.
    
  
    Proceedings of the Medical Imaging 2020: Image Perception, 2020
    
  
  2019
    Proceedings of the Medical Imaging 2019: Image Perception, 2019
    
  
  2013
    BMC Medical Imaging, 2013