Mou Cheng Xu

Senior AI Engineer at Medtronic

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Moucheng is a London-based AI researcher. He was a finalist for the Young Scientist Award (Best Paper) at MICCAI 2022 (top 0.8%, 15 / 1835 submissions). He is particually interested in the application of AI in healthcare.

Previously, he received his PhD from UCL, UK, under the supervisions of Dr. Joseph Jacob, Prof. Daniel Alexander FREng, Dr. Neil Oxtoby from UCL Centre for Medical Image Computing, and Dr. Marius de Groot, Mr. Fred Wilson from GSK.

news

selected publications

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    In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding
    Moucheng Xu, Evangelos Chatzaroulas, Luc McCutcheon, and 4 more authors
    In NeurIPS Workshop on Video-Language Models, Dec 2024
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    Expectation maximisation pseudo labels
    Moucheng Xu, Yukun Zhou, Chen Jin, and 5 more authors
    Medical Image Analysis, Feb 2024
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    A Foundation Model for Generalizable Disease Detection from Retinal Images
    Yukun Zhou, Chia Mark A., Siegfried K. Wagner, and 14 more authors
    Nature – Impact Factor: 64.8, Sep 2023
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    MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels
    Moucheng Xu, Yukun Zhou, Chen Jin, and 4 more authors
    IEEE Transactions on Medical Imaging – Impact Factor: 11, May 2023
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    Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation
    Moucheng Xu, Yukun Zhou, Chen Jin, and 5 more authors
    In MICCAI – Best Paper Finalist, top 0.8%, Sep 2022
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    Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
    Moucheng Xu, Yu-Kun Zhou, Chen Jin, and 6 more authors
    In MIDL – Oral, top 16%, Jul 2022
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    Disentangling Human Error from Ground Truth in Segmentation of Medical Images
    Le Zhang, Ryutaro Tanno, Moucheng Xu, and 5 more authors
    In NeurIPS – top 21%, Dec 2020