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Quande Liu

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

Jul 19, 2022
Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

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* Accepted to ECCV 2022

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Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary

Jun 29, 2022
Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng

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* Accepted to AAAI 2022

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Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance

Jun 27, 2022
Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou

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* Early accepted by 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'22)

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Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

Sep 19, 2021
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng

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* Accepted to MICCAI 2021

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Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching

Jun 16, 2021
Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng

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* Accepted to MICCAI 2021

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Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification

Sep 15, 2020
Zhao Wang, Quande Liu, Qi Dou

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* Published as a journal paper at IEEE J-BHI; code and dataset are available at https://github.com/med-air/Contrastive-COVIDNet

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Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

Jul 04, 2020
Quande Liu, Qi Dou, Pheng-Ann Heng

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* Early accepted by MICCAI 2020; code and dataset are available at https://github.com/liuquande/SAML

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