Lecture Notes in Computer Science
Journal Abbreviation:  LECT NOTES ARTIF INT 
ISSN: 0302-9743
Publisher: Springer Verlag
  
Publications (1092)
  
    
        
    
        
    
    
    
        
            
                
  
  DeepWrinkles: Accurate and Realistic Clothing Modeling (2018)
  Laehner Z, Cremers D, Tung T
  Conference contribution
            
                
  
  Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations (2018)
  Bai W, Suzuki H, Qin C, Tarroni G, Oktay O, Matthews PM, Rueckert D
  Conference contribution
            
                
  
  Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension (2018)
  Duan J, Schlemper J, Bai W, Dawes TJW, Bello G, Doumou G, De Marvao A, et al.
  Conference contribution
            
                
  
  Bayesian deep learning for accelerated mr image reconstruction (2018)
  Schlemper J, Castro DC, Bai W, Qin C, Oktay O, Duan J, Price AN, et al.
  Conference contribution
            
                
  
  Cardiac mr motion artefact correction from k-space using deep learning-based reconstruction (2018)
  Oksuz I, Clough J, Bustin A, Cruz G, Prieto C, Botnar R, Rueckert D, et al.
  Conference contribution
            
                
  
  Joint learning of motion estimation and segmentation for cardiac MR image sequences (2018)
  Qin C, Bai W, Schlemper J, Petersen SE, Piechnik SK, Neubauer S, Rueckert D
  Conference contribution
            
                
  
  Stochastic deep compressive sensing for the reconstruction of diffusion tensor cardiac MRI (2018)
  Schlemper J, Yang G, Ferreira P, Scott A, Mcgill LA, Khalique Z, Gorodezky M, et al.
  Conference contribution
            
                
  
  A comprehensive approach for learning-based fully-automated inter-slice motion correction for short-axis cine cardiac MR image stacks (2018)
  Tarroni G, Oktay O, Sinclair M, Bai W, Schuh A, Suzuki H, De Marvao A, et al.
  Conference contribution
            
                
  
  Cardiac MR segmentation from undersampled k-space using deep latent representation learning (2018)
  Schlemper J, Oktay O, Bai W, Castro DC, Duan J, Qin C, Hajnal JV, Rueckert D
  Conference contribution
            
                
  
  Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection (2018)
  Oksuz I, Ruijsink B, Puyol-Anton E, Bustin A, Cruz G, Prieto C, Rueckert D, et al.
  Conference contribution