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ORCIDLAScarQSE@MICCAI 2022: Singapore
- Xiahai Zhuang
, Lei Li, Sihan Wang, Fuping Wu:
Left Atrial and Scar Quantification and Segmentation - First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13586, Springer 2023, ISBN 978-3-031-31777-4 - Arthur L. Lefebvre, Carolyna A. P. Yamamoto, Julie K. Shade, Ryan P. Bradley, Rebecca Yu, Rheeda L. Ali, Dan M. Popescu, Adityo Prakosa, Eugene G. Kholmovski, Natalia A. Trayanova:
LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification. 1-15 - Mengjun Wu, Wangbin Ding, Mingjing Yang, Liqin Huang:
Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network. 16-23 - Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding:
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. 24-35 - Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang:
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. 36-48 - Yuchen Zhang, Yanda Meng, Yalin Zheng:
Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net. 49-59 - Xuru Zhang, Xinye Yang, Lihua Huang, Liqin Huang:
Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation. 60-68 - Abbas Khan, Omnia Alwazzan, Martin Benning, Greg Slabaugh:
Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. 69-82 - Tongtong Xie, Zhengeng Yang, Hongshan Yu:
LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI. 83-92 - Siping Zhou, Kaini Wang, Guang-Quan Zhou:
Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images. 93-105 - Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi:
TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. 106-114 - Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang:
Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation. 115-123 - Feiyan Li, Weisheng Li:
Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion. 124-132 - Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. 133-144 - Kumaradevan Punithakumar, Michelle Noga:
Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. 145-152 - Moona Mazher, Abdul Qayyum, Mohamed Abdel-Nasser, Domenec Puig:
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. 153-161
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