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JohnleeHIT/README.md

Hi there 👋

  • 🔭 I'm a final-year PhD at Harbin Institute of Technology and mainly focus on deep learning-based medical image segmentation.
  • 🌱 I’m currently learning the uncertainties in medical image segmentation tasks, and learning with ambiguous labels.

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  1. Brats2019 Brats2019 Public

    [BrainLes2019] Multi-step cascaded network for brain tumor segmentations (tensorflow)

    Python 96 24

  2. SLEX-Net SLEX-Net Public

    [IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)

    Python 28 3

  3. PerceptionComputingLab/ULTRA PerceptionComputingLab/ULTRA Public

    [MedIA2023 & MICCAI2022 ] Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning

    Python 9 2

  4. PerceptionComputingLab/CLDL PerceptionComputingLab/CLDL Public

    [MedIA2023] Curriculum label distribution learning for imbalanced medical image segmentation

    Python 5 1

  5. PerceptionComputingLab/PARSE2022 PerceptionComputingLab/PARSE2022 Public

    Official repository of MICCAI 2022 Parse challenge

    Python 15 6

  6. PerceptionComputingLab/MedFILIP PerceptionComputingLab/MedFILIP Public

    [IEEE-JBHI 2025] Pytorch implementation of the paper "MedFILIP: Medical Fine-Grained Language-Image Pre-Training s"

    Python 15 2