Left atrial and scar quantification and segmentation : First Challenge, LAScarQS 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022 proceedings / edited by Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu.

"This book constitutes the First Left Atrial and Scar Quantification and Segmentation Challenge, LAScar QS 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.The 1...

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Bibliographic Details
Corporate Author: International Conference on Medical Image Computing and Computer-Assisted Intervention. Singapore (Left Atrial and Scar Quantification and Segmentation Challenge.,)
Other Authors: Zhuang, Xiahai (Editor), Li, Lei (Editor), Wang, Sihan (Editor), Wu, Fuping (Editor)
Format: Ebook
Language:English
Published: Cham : Springer, 2023.
Series:Lecture notes in computer science ; 13586.
Subjects:
Online Access:Springer eBooks
Table of Contents:
  • LASSNet: A Four Steps Deep Neural Network for Left Atrial Segmentation and Scar Quantification / Arthur L. Lefebvre, Carolyna A. P. Yamamoto, Julie K. Shade, Ryan P. Bradley, Rebecca A. Yu, Rheeda L. Ali et al.
  • Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network / Mengjun Wu, Wangbin Ding, Mingjing Yang, Liqin Huang
  • Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation / Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He et al.
  • UGformer for Robust Left Atrium and Scar Segmentation Across Scanners / Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang
  • Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net / Yuchen Zhang, Yanda Meng, Yalin Zheng
  • Two Stage of Histogram Matching Augmentation for Domain Generalization: Application to Left Atrial Segmentation / Xuru Zhang, Xinye Yang, Lihua Huang, Liqin Huang
  • 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
  • LA-HRNet: High-Resolution Network for Automatic Left Atrial Segmentation in Multi-center LEG MRI / Tongtong Xie, Zhengeng Yang, Hongshan Yu
  • Edge-Enhanced Feature Guided Joint Segmentation of Left Atrial and Scars in LGE MRI Images / Siping Zhou, Kai-Ni Wang, Guang-Quan Zhou
  • TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium / Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg Aslanidi
  • Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation / Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang
  • Cross-Domain Segmentation of Left Atrium Based on Multi-scale Decision Level Fusion / Feiyan Li, Weisheng Li
  • Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation / Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Meriaudeau
  • Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks / Kumaradevan Punithakumar, Michelle Noga
  • Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge / Moona Mazher, Abdul Qayyum, Mohamed Abdel-Nasser, Domenec Puig.
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