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ⱡ: corresponding author; *: co-first author

2024

  • Bootstrapping Language-Driven Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
    Weiwei Cao, Jianpeng Zhangⱡ, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zhengⱡ, Yuxing Tang, Ling Zhang
    CVPR 2024

  • Continual Self-supervised Learning : Towards Universal Multi-modal Medical Data Representation Learning
    Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia
    CVPR 2024

  • Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
    Tony C. W. MOK, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
    CVPR 2024

2023

  • Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists
    Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang
    MICCAI 2023 (early accept, 14%)

  • UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner
    Yiwen Ye*, Yutong Xie*, Jianpeng Zhang, Ziyang Chen, Yong Xia
    MICCAI 2023 (early accept, 14%) [arXiv]

  • TPRO: Text-prompting-based Weakly Supervised Histopathology Tissue Segmentation
    Shaoteng Zhang, Jianpeng Zhang, Yong Xia, Yutong Xie
    MICCAI 2023 (early accept, 14%)

  • Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality
    Hu Wang, Congbo Ma, Jianpeng Zhang, Yuan Zhang, Jodie Avery, Mary Hull, Gustavo Carneiro
    MICCAI 2023

  • Unpaired Cross-modal Interaction Learning for COVID-19 Segmentation on Limited CT images
    Qingbiao Guan, Yutong Xie, Yang Bing, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
    MICCAI 2023

  • MedIM: Boost Medical Image Representation via Radiology Report-guided Masking
    Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
    MICCAI 2023

  • Towards a single unified model for effective detection, segmentation, and diagnosis of eight major cancers using a large collection of ct scans
    Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang
    ICCV 2023

  • Attention Mechanisms in Medical Image Segmentation: A Survey
    Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia
    [arXiv] [Over 300 references]

  • Learning from partially labeled data for multi-organ and tumor segmentation
    Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
    IEEE TPAMI 2023
    [arXiv]

  • ReFs: A Hybrid Pre-training Paradigm for 3D Medical Image Segmentation
    Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Verjans Johan, Yong Xia
    Medical Image Analysis 2023

2022

  • UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
    Yutong Xie, Jianpeng Zhang, Yong Xia, and Qi Wu
    ECCV 2022

  • Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction
    Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Mary Hull, and Gustavo Carneiro
    ECCV 2022

  • DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation
    Yiwen Ye*, Jianpeng Zhang*, Ziyang Chen, and Yong Xia (* Equal contribution)
    MICCAI 2022

  • Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation
    Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia
    IEEE TMI 2022

2021

  • Intra- and Inter-pair Consistency for Semi-supervised Gland Segmentation
    Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, and Yong Xia
    IEEE TIP 2021

2020

2019

2018

2017