Congratulations to the following members for the papers accepted and presented by MICCAI2023:
| Revisiting distillation for continual learning on visual question localized-answering in robotic surgery
L Bai, M Islam, H Ren*
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
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| Rectifying noisy labels with sequential prior: multi-scale temporal feature affinity learning for robust video segmentation
B Cui, M Zhang, M Xu, A Wang, W Yuan*, H Ren*
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
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| Co-attention gated vision-language embedding for visual question localized-answering in robotic surgery
L Bai, M Islam, H Ren*
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
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| LLCaps: learning to illuminate low-light capsule endoscopy with curved wavelet attention and reverse diffusion
L Bai, T Chen, Y Wu, A Wang, M Islam, H Ren*
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
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| S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
A Wang, M Xu, Y Zhang, M Islam, H Ren*
arXiv preprint arXiv:2306.00451, MICCAI2023
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| SurgicalGPT: End-to-End Language-Vision GPT for visual question answering in surgery
L Seenivasan, M Islam, G Kannan, H Ren*
arXiv preprint arXiv:2304.09974, MICCAI2023
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Also congrats on Lalith’s award for best MICCAI reviewer & Andy’s workshop presentation
