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  1. Med-Noisy-Labels Med-Noisy-Labels Public

    [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

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  2. EM-BPL-Semi-Seg EM-BPL-Semi-Seg Public

    [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

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  3. MisMatch-Semi-Seg MisMatch-Semi-Seg Public

    [MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

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  4. SOP-LVM-ICL-Ensemble SOP-LVM-ICL-Ensemble Public

    [NeurIPS VLM workshop 2024] In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding

    Python 23 3

  5. UROP_2017 UROP_2017 Public

    [ISTA 2018] Effect of Different Depth Designs of 3D Printed Patient Specific Instrument (PSI) on Planar Cutting Operation Accuracy in Simulated Orthopaedic Surgery: A Preliminary Study

    MATLAB 6

  6. Pay_Attention_To_Mistakes Pay_Attention_To_Mistakes Public

    [BMVC 2020] Learning To Pay Attention To Mistakes

    Python 5 1