Publications by authors named "Linhao Qu"

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CoroPCRNet: Integrative prediction of hemodynamically significant coronary stenosis by fusing point cloud network and radiomics feature.
Ziyue Xie, Wei He, Xiaoyu Liu, Linhao Qu, Mingzhi Yuan

J Biomech· December 2025

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MSCPT: Few-Shot Whole Slide Image Classification With Multi-Scale and Context-Focused Prompt Tuning.
Minghao Han, Linhao Qu, Dingkang Yang, Xukun Zhang, Xiaoying Wang

IEEE Trans Med Imaging· September 2025

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Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation.
Xiaoyu Liu, Linhao Qu, Ziyue Xie, Yonghong Shi, Zhijian Song

IEEE Trans Med Imaging· September 2025

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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution.
Minghong Duan, Linhao Qu, Zhiwei Yang, Manning Wang, Chenxi Zhang

Sci Rep· May 2025

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Robust and interpretable deep learning system for prognostic stratification of extranodal natural killer/T-cell lymphoma.
Chong Jiang, Zekun Jiang, Xinyu Zhang, Linhao Qu, Kexue Fu

Eur J Nucl Med Mol Imaging· April 2025

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Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancer.
Qiu Bi, Conghui Ai, Linhao Qu, Qingyin Meng, Qinqing Wang

NPJ Precis Oncol· April 2025

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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, Xia Sheng, Hongzheng Ren

Am J Pathol· August 2024

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Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation.
Xiaoyu Liu, Linhao Qu, Ziyue Xie, Jiayue Zhao, Yonghong Shi

Biomed Eng Online· June 2024

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Preoperative Molecular Subtype Classification Prediction of Ovarian Cancer Based on Multi-Parametric Magnetic Resonance Imaging Multi-Sequence Feature Fusion Network.
Yijiang Du, Tingting Wang, Linhao Qu, Haiming Li, Qinhao Guo

Bioengineering (Basel)· May 2024

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MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis.
Qinqing Wang, Qiu Bi, Linhao Qu, Yuchen Deng, Xianhong Wang

Front Oncol· April 2024

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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 J Biomed Health Inform· February 2024

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Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.
Qinhao Guo, Linhao Qu, Jun Zhu, Haiming Li, Yong Wu

Mod Pathol· December 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 Trans Med Imaging· December 2023

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Label correlation transformer for automated chest X-ray diagnosis with reliable interpretability.
Zexuan Sun, Linhao Qu, Jiazheng Luo, Zhijian Song, Manning Wang

Radiol Med· June 2023

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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.
Linhao Qu, Siyu Liu, Xiaoyu Liu, Manning Wang, Zhijian Song

Phys Med Biol· October 2022

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Prediction Model of Hemorrhage Transformation in Patient with Acute Ischemic Stroke Based on Multiparametric MRI Radiomics and Machine Learning.
Yucong Meng, Haoran Wang, Chuanfu Wu, Xiaoyu Liu, Linhao Qu

Brain Sci· June 2022

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