CMRxMotion Papers

  1. Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
    Carles Garcia-Cabrera, Eric Arazo, Kathleen M. Curran, Noel E. O’Connor, Kevin McGuinness

  2. Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts
    Alejandro Mora-Rubio, Kumaradevan Punithakumar, Michelle Noga

  3. Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation
    Michal K. Grzeszczyk, Szymon Płotka, Arkadiusz Sitek

  4. Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi-task Learning and K-Space Motion Artefact Augmentation
    Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Meriaudeau

  5. A deep learning-based fully automatic framework for motion-existing cine image quality control and quantitative analysis
    Huili Yang, Lexiaozi Fan, Nikolay Iakovlev, Daniel Kim

  6. Motion-related Artefacts Classification Using Patch-based Ensemble and Transfer Learning in Cardiac MRI
    Ruizhe Li, Xin Chen

  7. Automatic Image Quality Assessment and Cardiac Segmentation Based on CMR images
    Haixia Li, Shanshan Jiang, Song Tian, Xiuzheng Yue, Weibo Chen, Yihui Fan

  8. Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation
    Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Oksuz

  9. 3D MRI cardiac segmentation under respiratory motion artifacts
    Yongqing Kou, Rongjun Ge, Daoqiang Zhang

  10. Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts using Simulated Data
    Sina Amirrajab, Yasmina Al Khalil, Josien Pluim, Marcel Breeuwer, Cian M. Scannell

  11. Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification
    Xiaowu Sun, Li-Hsin Cheng, Rob J. van der Geest

  12. Automatic Cardiac Magnetic Resonance Respiratory Motions Assessment and Segmentation
    Abdul Qayyum, Moona Mazher, Imran Razzak, Steven Niederer, Fabrice Meriaudeau

  13. Robust Cardiac MRI Segmentation with Data-Centric Models to Improve Performance via Intensive Pre-training and Augmentation
    Shizhan Gong, Weitao Lu, Jize Xie, Xiaofan Zhang, Shaoting Zhang, Qi Dou

  14. Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels
    Wanqin Ma, Huifeng Yao, Yiqun Lin, Jiarong Guo, Xiaomeng Li