Q
Qianqian Tong
Researcher at Wuhan University
Publications - 25
Citations - 533
Qianqian Tong is an academic researcher from Wuhan University. The author has contributed to research in topics: Segmentation & Convolutional neural network. The author has an hindex of 7, co-authored 22 publications receiving 266 citations.
Papers
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Journal ArticleDOI
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Xiahai Zhuang,Lei Li,Christian Payer,Darko Štern,Martin Urschler,Mattias P. Heinrich,Julien Oster,Chunliang Wang,Örjan Smedby,Cheng Bian,Xin Yang,Pheng-Ann Heng,Aliasghar Mortazi,Ulas Bagci,Guanyu Yang,Chenchen Sun,Gaetan Galisot,Jean-Yves Ramel,Thierry Brouard,Qianqian Tong,Weixin Si,Xiangyun Liao,Guodong Zeng,Zenglin Shi,Guoyan Zheng,Chengjia Wang,Tom MacGillivray,David E. Newby,Kawal Rhode,Sebastien Ourselin,Raad Mohiaddin,Jennifer Keegan,David N. Firmin,Guang Yang +33 more
TL;DR: This work presents the methodologies and evaluation results for the WHS algorithms selected from the submissions to the Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, in conjunction with MICCAI 2017.
Journal ArticleDOI
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Zhaohan Xiong,Qing Xia,Zhiqiang Hu,Ning Huang,Cheng Bian,Yefeng Zheng,Sulaiman Vesal,Nishant Ravikumar,Andreas Maier,Xin Yang,Pheng-Ann Heng,Dong Ni,Caizi Li,Qianqian Tong,Weixin Si,Elodie Puybareau,Younes Khoudli,Thierry Géraud,Chen Chen,Wenjia Bai,Daniel Rueckert,Lingchao Xu,Xiahai Zhuang,Xinzhe Luo,Shuman Jia,Maxime Sermesant,Yashu Liu,Kuanquan Wang,Davide Borra,Alessandro Masci,Cristiana Corsi,Coen de Vente,Mitko Veta,Rashed Karim,Chandrakanth Jayachandran Preetha,Sandy Engelhardt,Menyun Qiao,Yuanyuan Wang,Qian Tao,Marta Nuñez-Garcia,Oscar Camara,Nicoló Savioli,Pablo Lamata,Jichao Zhao +43 more
TL;DR: This large-scale benchmarking study makes a significant step towards much-improved segmentation methods for atrial LGE-MRIs, and will serve as an important benchmark for evaluating and comparing the future works in the field.
Book ChapterDOI
3D Deeply-Supervised U-Net Based Whole Heart Segmentation
TL;DR: A deeply-supervised 3D U-Net is presented for fully automatic whole-heart segmentation by jointly using the multi-modal MRI and CT images to define the overall heart structure.
Journal ArticleDOI
Magnetic Levitation Haptic Augmentation for Virtual Tissue Stiffness Perception
TL;DR: A novel magnetic levitation haptic device based on electromagnetic principles to augment the tissue stiffness perception in virtual environment and proposes the idea that the effective magnetic field (EMF) is closely related to the coil attitude for the first time.
Book ChapterDOI
Attention Based Hierarchical Aggregation Network for 3D Left Atrial Segmentation
TL;DR: A novel three-dimensional segmentation network combining hierarchical aggregation and attention mechanism for 3D left atrial segmentation, named attention based hierarchical aggregation network (HAANet).