Leaderboard (before submission deadline)

Rank Team Name Team Members Team Affiliation Final Score Global Score Local Score Pixel Score Landmark Score GPE (mm) GLE (mm) LPE (mm) LLE (mm) Run Time (s)
1 ImFusion Paul Wilson, Matteo Ronchetti, Ruediger Goebl, Viktoria Markova, Sebastian Rosenzweig, Raphael Prevost, Parvin Mousavi, Oliver Zettinig ImFusion GmbH, Germany; Queen’s University, Canada 0.622±0.071 0.656±0.125 0.588±0.039 0.627±0.058 0.617±0.090 9.249±2.906 6.986±3.012 0.153±0.020 0.120±0.018 26.744±2.997
2 MUSIC Lab Mingyuan Luo, Jiongquan Chen, Zhongnuo Yan, Xin Yang, Dong Ni Shenzhen University, China 0.620±0.060 0.623±0.102 0.617±0.035 0.639±0.055 0.601±0.072 9.851±3.140 8.116±3.018 0.138±0.018 0.116±0.017 107.479±24.052
3 COCHE Lei Zhao, Yuan Zhao, Kannie WY Chan Hong Kong Centre for Cerebro-cardiovascular Health Engineering, Hong Kong SAR, China; City University of Hong Kong, Hong Kong SAR, China 0.503±0.134 0.481±0.239 0.526±0.058 0.520±0.131 0.487±0.147 13.892±6.748 10.705±4.628 0.172±0.026 0.143±0.029 43.054±3.274
4 AGH-MedApp Artur Jurgas, Maciej Stanuch, Michał Trojak, Andrzej Skalski AGH University of Krakow, Poland; MedApp S.A., Poland 0.383±0.128 0.268±0.229 0.499±0.062 0.428±0.115 0.339±0.162 18.605±6.492 15.955±5.850 0.179±0.026 0.153±0.031 40.367±3.230
5 AMI-Lab SiYeoul Lee, SeongKyu Park, MinKyung Seo, Seonho Kim, GyuBin Kim, EonSeung Seong, Imrus Salehin, Hyeyun Lee, MinWoo Kim Pusan National University, Yangsan, Korea 0.301±0.155 0.106±0.283 0.497±0.064 0.373±0.127 0.230±0.202 21.800±6.477 19.645±6.310 0.177±0.027 0.157±0.035 10.439±0.683
6 QBME Tan Zhou Shanghai Jiao Tong University, China 0.188±0.206 -0.023±0.398 0.399±0.051 0.248±0.161 0.128±0.276 25.708±8.263 21.728±9.009 0.216±0.026 0.183±0.032 34.686±2.808
7 Baseline TUS-REC Organisation Team University College London, United Kingdom 0.163±0.216 -0.078±0.410 0.405±0.051 0.244±0.145 0.083±0.304 26.110±7.256 23.681±9.049 0.214±0.025 0.181±0.030 19.753±1.570

Note: All scores (the larger the better) are normalised using the ranking method described in the assessment page. The raw values of DDF errors (the smaller the better) before normalisation are also listed for your reference. All values are rounded to 3 decimal places.

Leaderboard (including post-challenge submissions)

Rank Team Name Team Members Team Affiliation Final Score Global Score Local Score Pixel Score Landmark Score GPE (mm) GLE (mm) LPE (mm) LLE (mm) Run Time (s)
1 ImFusion Paul Wilson, Matteo Ronchetti, Ruediger Goebl, Viktoria Markova, Sebastian Rosenzweig, Raphael Prevost, Parvin Mousavi, Oliver Zettinig ImFusion GmbH, Germany; Queen’s University, Canada 0.622±0.071 0.656±0.125 0.588±0.039 0.627±0.058 0.617±0.090 9.249±2.906 6.986±3.012 0.153±0.020 0.120±0.018 26.744±2.997
2 MUSIC Lab Mingyuan Luo, Jiongquan Chen, Zhongnuo Yan, Xin Yang, Dong Ni Shenzhen University, China 0.620±0.060 0.623±0.102 0.617±0.035 0.639±0.055 0.601±0.072 9.851±3.140 8.116±3.018 0.138±0.018 0.116±0.017 107.479±24.052
3 COCHE Lei Zhao, Yuan Zhao, Kannie WY Chan Hong Kong Centre for Cerebro-cardiovascular Health Engineering, Hong Kong SAR, China; City University of Hong Kong, Hong Kong SAR, China 0.503±0.134 0.481±0.239 0.526±0.058 0.520±0.131 0.487±0.147 13.892±6.748 10.705±4.628 0.172±0.026 0.143±0.029 43.054±3.274
4 AGH-MedApp Artur Jurgas, Maciej Stanuch, Michał Trojak, Andrzej Skalski AGH University of Krakow, Poland; MedApp S.A., Poland 0.383±0.128 0.268±0.229 0.499±0.062 0.428±0.115 0.339±0.162 18.605±6.492 15.955±5.850 0.179±0.026 0.153±0.031 40.367±3.230
5 AMI-Lab SiYeoul Lee, SeongKyu Park, MinKyung Seo, Seonho Kim, GyuBin Kim, EonSeung Seong, Imrus Salehin, Hyeyun Lee, MinWoo Kim Pusan National University, Yangsan, Korea 0.301±0.155 0.106±0.283 0.497±0.064 0.373±0.127 0.230±0.202 21.800±6.477 19.645±6.310 0.177±0.027 0.157±0.035 10.439±0.683
6* Smart Medicine and AI-based Radiology Technology (SMART) Lab Min Zou, Jiang Shang, Yanlin Chen, Qi Zhang Shanghai University, China 0.235±0.154 0.080±0.287 0.391±0.053 0.288±0.121 0.182±0.208 23.420±6.669 19.527±6.598 0.218±0.025 0.186±0.032 18.649±1.501
7 QBME Tan Zhou Shanghai Jiao Tong University, China 0.188±0.206 -0.023±0.398 0.399±0.051 0.248±0.161 0.128±0.276 25.708±8.263 21.728±9.009 0.216±0.026 0.183±0.032 34.686±2.808
8 Baseline TUS-REC Organisation Team University College London, United Kingdom 0.163±0.216 -0.078±0.410 0.405±0.051 0.244±0.145 0.083±0.304 26.110±7.256 23.681±9.049 0.214±0.025 0.181±0.030 19.753±1.570

* Post-challenge submissions

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Created by the TUS-REC Organisation Team.