A Study of Why We Need to Reassess Full Reference Image Quality Assessment with Medical Images.
     
          A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts,  AIX-COVNET Collaboration, C-B Schönlieb  
  
          – Journal of Imaging Informatics in Medicine  
  
          (2025)  
  
            
  
    
    
            
  
            
   
      
      
          A Pipeline for Automated Quality Control of Chest Radiographs
     
          IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall,  AIX-COVNET Collaboration  
  
          – Radiology Artificial Intelligence  
  
          (2025)  
  
          7,   
  
    
    
            
  
            
   
      
      
          Parameter Choices in Haarpsi for IQA with Medical Images
     
          C Karner, J Gröhl, I Selby, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, JHF Rudd, C-B Schönlieb, JR Weir-McCall, A Breger  
  
          – Arxiv  
  
          (2024)  
  
          00,   
  
    
    
            
  
            
   
      
      
          A study on the adequacy of common IQA measures for medical images
     
          A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb  
  
          – Springer Lecture Notes in Electrical Engineering, MICAD conference
  (2024)  
  
          (2024)  
  
            
  
    
    
    
            
   
      
      
          visClust: A visual clustering algorithm based on orthogonal projections
     
          A Breger, C Karner, M Ehler  
  
          – Pattern Recognition  
  
          (2024)  
  
          148,   
  
    
    
            
  
            
   
      
      
          Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology.
     
          P Fytas, A Breger, I Selby, S Baker, S Shahipasand, A Korhonen  
  
          – Bionlp 2024 23rd Meeting of the Acl Special Interest Group on Biomedical Natural Language Processing Proceedings of the Workshop and Shared Tasks  
  
          (2024)  
  
            
  
    
    
            
  
            
   
      
      
          Shortcut Learning: Reduced But Not Resolved
     
          IA Selby, M Roberts, A Breger, JHF Rudd, JR Weir-McCall  
  
          – Radiology  
  
          (2023)  
  
          308,   
  
    
    
            
  
            
   
      
      
          A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
     
          A Breger, I Selby, M Roberts, J Babar, E Gkrania-Klotsas, J Preller, L Escudero Sanchez, J Rudd, J Aston, J Weir-McCall, E Sala, C Schoenlieb  
  
          – Scientific Data  
  
          (2023)  
  
          10,   
  
    
    
            
  
            
   
      
      
          Navigating the development challenges in creating complex data systems.
     
          S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb  
  
          – Nature Machine Intelligence  
  
          (2023)  
  
          5,   
  
    
    
            
  
            
   
      
      
          Deep learning based segmentation of brain tissue from diffusion MRI.
     
          F Zhang, A Breger, KIK Cho, L Ning, C-F Westin, LJ O'Donnell, O Pasternak  
  
          – NeuroImage  
  
          (2021)  
  
          233,