Name
Title | ||
|---|---|---|
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging |
Abstract | ||
|---|---|---|
•A benchmark study of a global segmentation challenge conducted on the largest atrial LGE-MRI dataset.•Performed rigorous subgroup analysis and hyper-parameter tuning experiments.•U-Net achieved better performance compared to others.•2D and 3D CNN methods had comparable accuracies.•The double, sequentially used CNNs achieved superior results. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2020.101832 | Medical Image Analysis |
Keywords | DocType | Volume |
Left atrium,Convolutional neural networks,Late gadolinium-enhanced magnetic resonance imaging,Image segmentation | Journal | 67 |
ISSN | Citations | PageRank |
1361-8415 | 4 | 0.46 |
References | Authors | |
0 | 44 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaohan Xiong | 1 | 16 | 3.15 |
| Qing Xia | 2 | 7 | 4.57 |
| Zhiqiang Hu | 3 | 4 | 0.46 |
| Ning Huang | 4 | 21 | 3.15 |
| Cheng Bian | 5 | 4 | 1.14 |
| Yefeng Zheng | 6 | 1391 | 114.67 |
| Sulaiman Vesal | 7 | 10 | 3.06 |
| nishant ravikumar | 8 | 23 | 12.43 |
| Andreas K. Maier | 9 | 560 | 178.76 |
| Xin Yang | 10 | 175 | 12.96 |
| Pheng-Ann Heng | 11 | 3565 | 280.98 |
| Dong Ni | 12 | 137 | 20.07 |
| Caizi Li | 13 | 4 | 0.46 |
| Qianqian Tong | 14 | 24 | 6.74 |
| Weixin Si | 15 | 47 | 9.93 |
| Elodie Puybareau | 16 | 4 | 0.46 |
| Younes Khoudli | 17 | 4 | 0.46 |
| Thierry G?eraud | 18 | 390 | 35.10 |
| Chen Chen | 19 | 15 | 4.79 |
| Wenjia Bai | 20 | 445 | 35.84 |
| Daniel Rueckert | 21 | 9338 | 637.58 |
| Lingchao Xu | 22 | 4 | 0.46 |
| Xiahai Zhuang | 23 | 411 | 38.76 |
| Xinzhe Luo | 24 | 5 | 1.85 |
| Shuman Jia | 25 | 8 | 2.26 |
| Maxime Sermesant | 26 | 1111 | 122.97 |
| Yashu Liu | 27 | 9 | 3.21 |
| Kuanquan Wang | 28 | 1617 | 141.11 |
| Davide Borra | 29 | 8 | 2.11 |
| Alessandro Masci | 30 | 4 | 3.50 |
| Cristiana Corsi | 31 | 49 | 14.59 |
| Coen de Vente | 32 | 4 | 0.46 |
| Mitko Veta | 33 | 4 | 0.46 |
| Rashed Karim | 34 | 56 | 9.98 |
| Chandrakanth Jayachandran Preetha | 35 | 4 | 0.46 |
| Sandy Engelhardt | 36 | 4 | 0.80 |
| Menyun Qiao | 37 | 4 | 0.46 |
| Yuanyuan Wang | 38 | 28 | 11.12 |
| Qian Tao | 39 | 4 | 0.46 |
| Marta Nuñez Garcia | 40 | 8 | 4.99 |
| Oscar Camara | 41 | 123 | 17.87 |
| Nicolo Savioli | 42 | 4 | 0.46 |
| P Lamata | 43 | 176 | 23.91 |
| Jichao Zhao | 44 | 9 | 2.05 |