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    Topology aware multitask cascaded U-Net for cerebrovascular segmentation. by Pierre Rougé, Nicolas Passat, Odyssée Merveille

    Published 2024-01-01
    “…In addition to this topological guidance, this cascaded U-Net also benefits from the inductive bias generated by the skeletonization during the multitask training. This model is able to predict the cerebrovascular segmentation with a more accurate topology than current state-of-the-art methods and with a low training time. …”
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    Development of an experiment-split method for benchmarking the generalization of a PTM site predictor: Lysine methylome as an example. by Guoyang Zou, Yang Zou, Chenglong Ma, Jiaojiao Zhao, Lei Li

    Published 2021-12-01
    “…Therefore, we believe that the experiment-split method can be applied to benchmark the practical performance of a given PTM model. DeepKme is free accessible via https://github.com/guoyangzou/DeepKme.…”
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