3 papers accepted by MICCAI2022

Congratulations to the following members for the papers accepted by MICCAI2022:

  • An et al Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
  • Lalith et al Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
  • Mengya et al Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches


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