LAScarQS Papers

  1. Cross-domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion
    Feiyan Li, Weisheng Li

  2. Two Stage of Histogram Matching Augmentation for Domain Generalization : Application to Left Atrial Segmentation
    Xuru Zhang, Xinye Yang, Liqin Huang, Lihua Huang

  3. Automatically Segmenting the Left Atrium and Scars from LGE-MRIs Using a boundary-focused nnU-Net
    Yuchen Zhang, Yanda Meng, Yalin Zheng

  4. Automated segmentation of the left atrium and scar using deep convolutional neural networks
    Kumaradevan Punithakumar, Michelle Noga

  5. TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium
    Shaheim N Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew King, Oleg Aslanidi

  6. Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation
    Tewodros W Arega, St├ęphanie Bricq, Fabrice Meriaudeau

  7. Deep U-Net architecture with curriculum learning for left atrial segmentation
    Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang

  8. Sequential segmentation of the left atrium and atrial scars using a multi-scale weight sharing network and boundary-based processing
    Abbas Khan, Omnia Alwazzan, Martin Benning, Greg Slabaugh

  9. UGformer for Robust Left Atrium and Scar Segmentation Across Scanners
    Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang

  10. LASSNet: A 4 steps DNN for LA Segmentation and Scar Quantification
    Arthur Lefebvre, Carolyna A. P. Yamamoto, Julie K. Shade, Ryan P. Bradley, Rebecca A. Yu, Rheeda L. Ali, Dan Popescu, Adityo Prakosa, Eugene G. Kholmovski, Natalia A. Trayanova

  11. LA-HRNet: High-resolution network for automatic left atrial segmentation in multi-center LEG MRI
    Tongtong Xie, Hongshan Yu, Zhengeng Yang

  12. Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network
    Mengjun Wu, Wangbin Ding, Liqin Huang, Mingjing Yang

  13. Edge-enhanced Features Guided Joint Segmentation and Quantification of Left Atrium and Scars in LGE MRI Images
    Siping Zhou, Guangquan Zhou

  14. Self Pre-training with Single-scale Adapter for Left Atrial Segmentation
    Can Tu, Ziyan Huang, Junjun He, Zhongying Deng, Jin Ye, Haoyu Wang, Yuncheng Yang, Chenglong Ma, Xiaowei Ding

  15. Automatic Semi-supervised Left atrial segmentation using deep-supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge
    Abdul Qayyum, Moona Mazher

  16. Automatic Atrial Segmentation from LGE-MRIs Using Attentional 3D V-Net
    Shoubo Xiang, Kang Li, Mao Chen