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
