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update leaderboard
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leaderboard.md

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| **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)** |
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|----------|---------------|-----------------------------------------------|-------------------------------------------|-----------------|------------------|-----------------|-----------------|--------------------|------------------|------------------|-----------------|-----------------|------------------|
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| 1 | MUSIC Lab | Mingyuan Luo, Jiongquan Chen, Zhongnuo Yan, Xin Yang, Dong Ni | Shenzhen University, China | **0.614±0.060** | 0.622±0.104 | 0.607±0.035 | 0.633±0.056 | 0.596±0.072 | 9.894±3.269 | 8.116±3.018 | 0.142±0.017 | 0.119±0.017 | 18.889±31.595 |
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| 2 | 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 | **0.478±0.131** | 0.442±0.232 | 0.514±0.063 | 0.502±0.117 | 0.454±0.157 | 14.591±5.920 | 11.681±4.847 | 0.176±0.027 | 0.147±0.031 | 0.724±0.055 |
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| 3 | AGH-MedApp | Artur Jurgas, Maciej Stanuch, Michał Trojak, Andrzej Skalski | AGH University of Krakow, Poland; MedApp S.A., Poland | **0.381±0.177** | 0.228±0.337 | 0.533±0.058 | 0.437±0.143 | 0.324±0.224 | 18.873±7.233 | 17.112±7.828 | 0.167±0.025 | 0.143±0.032 | 26.874±2.195 |
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| 4 | ImFusion | Paul Wilson, Matteo Ronchetti, Ruediger Goebl, Viktoria Markova, Sebastian Rosenzweig, Raphael Prevost, Parvin Mousavi, Oliver Zettinig | ImFusion GmbH, Germany; Queen's University, Canada | **0.249±0.151** | 0.169±0.286 | 0.328±0.049 | 0.003±0.109 | 0.494±0.204 | 31.054±4.394 | 10.870±7.556 | 0.326±0.036 | 0.135±0.024 | 14.644±1.307 |
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| 2 | ImFusion | Paul Wilson, Matteo Ronchetti, Ruediger Goebl, Viktoria Markova, Sebastian Rosenzweig, Raphael Prevost, Parvin Mousavi, Oliver Zettinig | ImFusion GmbH, Germany; Queen's University, Canada | **0.517±0.170** | 0.494±0.322 | 0.540±0.050 | 0.540±0.142 | 0.494±0.204 | 12.685±6.553 | 10.870±7.556 | 0.171±0.024 | 0.135±0.024 | 14.067±1.030 |
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| 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 | **0.478±0.131** | 0.442±0.232 | 0.514±0.063 | 0.502±0.117 | 0.454±0.157 | 14.591±5.920 | 11.681±4.847 | 0.176±0.027 | 0.147±0.031 | 43.439±3.314 |
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| 4 | AGH-MedApp | Artur Jurgas, Maciej Stanuch, Michał Trojak, Andrzej Skalski | AGH University of Krakow, Poland; MedApp S.A., Poland | **0.381±0.177** | 0.228±0.337 | 0.533±0.058 | 0.437±0.143 | 0.324±0.224 | 18.873±7.233 | 17.112±7.828 | 0.167±0.025 | 0.143±0.032 | 26.874±2.195 |
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| 5 | 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 |
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> Note: All scores (the larger the better) are normalised using the ranking method described in the <a href="https://github-pages.ucl.ac.uk/tus-rec-challenge/assessment.html#ranking-method" target="_blank">assessment page</a>. 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.

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