Publications

2024

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification

Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, and Xiaosong Wang
European Conference on Computer Vision (ECCV), 2024.
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Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations

Linhao Qu,Dan Huang, Shaoting Zhang, and Xiaosong Wang
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
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Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

Linhao Qu, Yingfan Ma, Xiaoyuan Luo, Qinhao Guo, Manning Wang, Zhijian Song
IEEE Transactions on Circuits and Systems for Video Technology (IF=8.4), 2024.
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Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework

Linhao Qu,Qiuye Jin, Kexue Fu, Manning Wang, Zhijian Song
Biomedical Signal Processing and Control (IF=4.9), 2024.
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Advancing Automatic Gastritis Diagnosis: An Interpretable Multilabel Deep Learning Framework for the Simultaneous Assessment of Multiple Indicators

Mengke Ma, Xixi Zeng, Linhao Qu (All technical design and implementation), Xia Sheng, Hongzheng Ren, Weixiang Chen, Bin Li, Qinghua You, Li Xiao, Yi Wang, Mei Dai, Boqiang Zhang, Changqing Lu, Weiqi Sheng, and Dan Huang
The American Journal of Pathology (IF=6.0), 2024.
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Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations.

Dingkang Yang, Mingcheng Li, Linhao Qu, Kun Yang, Peng Zhai, Song Wang, Lihua Zhang
IEEE Transactions on Circuits and Systems for Video Technology (IF=8.4), 2024.
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Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation

Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi, Zhijian Song
Biomedical Engineering Online(IF=3.9), 2024.
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Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation

Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang, Zhijian Song
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
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2023

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification

Linhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
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Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification

Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song
International Conference of Computer Vision (ICCV), 2023.
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OpenAL: An Efficient Deep Active Learning Framework for Open-Set Histopathology Image Classification

Linhao Qu, Yingfan Ma, Zhiwei Yang, Manning Wang, Zhijian Song
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
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Predicting Lymph Node Metastasis from Primary Cervical Cancer Based on Deep Learning in with Histopathological Images

Qinhao Guo, Linhao Qu (All technical design and implementation), Jun Zhu, Haiming Li, Yong Wu, Simin Wang, Min Yu, Jiangchun Wu, Hao Wen, Xingzhu Ju, Xin Wang, Rui Bi, Yonghong Shi, and Xiaohua Wu
Modern Pathology (IF=7.5), 2023.
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Trans2Fuse: Empowering Image Fusion through Self-supervised Learning and Multi-Modal Transformations via Transformer Networks

Linhao Qu, Shaolei Liu, Manning Wang, Shiman Li, Siqi Yin, Zhijian Song
Expert Systems With Applications (IF=8.5), 2023.
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AIM-MEF: Multi-Exposure Image Fusion Based on Adaptive Information Mining in Both Spatial and Frequency Domains

Linhao Qu, Siqi Yin, Shaolei Liu, Xiaoyu Liu, Manning Wang, Zhijian Song
Expert Systems With Applications (IF=8.5), 2023.
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A Structure-aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation

Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang, Zhijian Song
IEEE Transactions on Medical Imaging (IF=10.3), 2023.
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Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis

Xiaoyuan Luo, Linhao Qu, Qinhao Guo, Zhijian Song, Manning Wang
IEEE Journal of Biomedical and Health Informatics (IF=7.7), 2023.
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Label Correlation Transformer for Automated Chest X-ray Diagnosis with Reliable Interpretability

Zexuan Sun, Linhao Qu (Main technical design and implementation), Jiazheng Luo, Zhijian Song, Manning Wang
La radiologia medica (IF=8.9), 2023.
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2022

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification

Linhao Qu, Xiaoyuan Luo, Manning Wang, Zhijian Song
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS, Spotlight Presentation in TOP 5%), 2022.
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Rethinking Multi-Exposure Image Fusion with Extreme and Diverse Exposure Levels: A Robust Framework Based on Fourier Transform and Contrastive Learning

Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song
Information Fusion (IF=18.6), 2022.
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TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning

Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.
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DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Linhao Qu, xiaoyuan Luo, Shaolei Liu, Manning Wang, Zhijian Song
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
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Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis [Invited topical review]

Linhao Qu, Siyu Liu, Xiaoyu Liu, Manning Wang, Zhijian Song
Physics in Medicine & Biology (IF=3.5), 2022.
[DOI]paper
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation

Shaolei Liu, Siqi Yin, Linhao Qu, Manning Wang, Zhijian Song
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Wavelet-based self-supervised learning for multi-scene image fusion

Shaolei Liu, Linhao Qu (Main technical design and implementation), Manning Wang, Zhijian Song
Neural Computing and Applications (IF=6.0), 2022.
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