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Updated year on app in README [no ci]

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@@ -111,10 +111,10 @@ pip install 'cupy-cuda110>=7.7.0,<8.0.0'
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  </details>
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  ## Applications of livermask
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- * Lee et al., Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images, IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, https://doi.org/10.1109/TETCI.2021.3132382
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  * Yevdokimov et al., Recognition of Diffuse Hepatic Steatosis, 33rd Conference of Open Innovations Association (FRUCT), 2023, https://doi.org/10.23919/FRUCT58615.2023.10143062
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  * Pérez de Frutos et al., Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation, PLOS ONE, 2023,
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  https://doi.org/10.1371/journal.pone.0282110
 
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  * Survarachakan et al., Effects of Enhancement on Deep Learning Based Hepatic Vessel Segmentation, Electronics, 2021, https://doi.org/10.3390/electronics10101165
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  ## Acknowledgements
 
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  </details>
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  ## Applications of livermask
 
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  * Yevdokimov et al., Recognition of Diffuse Hepatic Steatosis, 33rd Conference of Open Innovations Association (FRUCT), 2023, https://doi.org/10.23919/FRUCT58615.2023.10143062
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  * Pérez de Frutos et al., Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation, PLOS ONE, 2023,
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  https://doi.org/10.1371/journal.pone.0282110
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+ * Lee et al., Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, https://doi.org/10.1109/TETCI.2021.3132382
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  * Survarachakan et al., Effects of Enhancement on Deep Learning Based Hepatic Vessel Segmentation, Electronics, 2021, https://doi.org/10.3390/electronics10101165
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  ## Acknowledgements