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Chu Han

MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer
2023 · Zhenwei Shi, Xiaomei Huang, et al. · Radiology · 260
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CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation
2023 · Jianwei Lin, Jiatai Lin, et al. · IEEE Transactions on Medical Imaging · 242
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HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images
2023 · Yuhao Mo, Chu Han, et al. · IEEE Transactions on Medical Imaging · 174
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Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
2022 · Chu Han, Jiatai Lin, et al. · Medical Image Analysis · 157
Vision Transformers for Computational Histopathology
2023 · Hongming Xu, Qi Xu, et al. · IEEE Reviews in Biomedical Engineering · 146
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation
2020 · Bingchao Zhao, Xin Chen, et al. · Medical Image Analysis · 146
Color correction and adaptive contrast enhancement for underwater image enhancement
2021 · Weidong Zhang, Xipeng Pan, et al. · Computers & Electrical Engineering · 110
δ -agree AdaBoost stacked autoencoder for short-term traffic flow forecasting
2017 · Teng Zhou, Guoqiang Han, et al. · Neurocomputing · 102
Spatially-invariant Style-codes Controlled Makeup Transfer
2021 · Han Deng, Chu Han, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 78
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations
2023 · Xipeng Pan, Jijun Cheng, et al. · Medical Image Analysis · 70
TENet: Triple Excitation Network for Video Salient Object Detection
2020 · Sucheng Ren, Chu Han, et al. · Lecture notes in computer science · 69
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A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting
2018 · Teng Zhou, Guoqiang Han, et al. · Neural Processing Letters · 67
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
2023 · Jiadong Zhang, Zhiming Cui, et al. · Patterns · 58
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PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning
2022 · Jiatai Lin, Guoqiang Han, et al. · IEEE Transactions on Medical Imaging · 58
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Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study
2024 · Guanchao Ye, Guangyao Wu, et al. · Journal for ImmunoTherapy of Cancer · 55
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Example‐Based Colourization Via Dense Encoding Pyramids
2019 · Chufeng Xiao, Chu Han, et al. · Computer Graphics Forum · 52
Joint-phase attention network for breast cancer segmentation in DCE-MRI
2023 · Rian Huang, Zeyan Xu, et al. · Expert Systems with Applications · 48
Meta multi-task nuclei segmentation with fewer training samples
2022 · Chu Han, Huasheng Yao, et al. · Medical Image Analysis · 47
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance
2022 · Guihua Tao, Haojiang Li, et al. · Medical Image Analysis · 47
Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold
2020 · Wentao Rong, Enhong Zhuo, et al. · Information Sciences · 42
Deep unsupervised pixelization
2018 · Chu Han, Qiang Wen, et al. · ACM Transactions on Graphics · 40
Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma
2022 · Xipeng Pan, Huan Lin, et al. · iScience · 37
Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction
2019 · Yi Guo, Zhuming Zhang, et al. · Computer Graphics Forum · 33
RestainNet: A self-supervised digital re-stainer for stain normalization
2022 · Bingchao Zhao, Chu Han, et al. · Computers & Electrical Engineering · 32
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A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer
2021 · Zeyan Xu, Yong Li, et al. · Cancer Cell International · 32
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Works count: 119
Citation count: 2,932
H-index: 29
I10-index: 56
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