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Jinhua Yu

Observed names: J H Yu, J Yu, J. H. Yu, J. Yu, Jin-Hua Yu, JinHua YU, JinHua Yu, Yu, Jinhua
Observed institutions: Shanghai Medical College of Fudan University, Sun Yat-sen University, Hunan University, Yunnan University, Chinese Academy of Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Peking University, Fudan University, Huadong Hospital, Xi'an University of Technology, Shenzhen Institutes of Advanced Technology, Huashan Hospital, State Key Laboratory of ASIC and System, China University of Mining and Technology - Beijing, Gongqing College of Nanchang University, Zhejiang Gongshang University, University of Missouri, Xi'an Jiaotong University
ORCID: 0000-0002-0654-6034
Observed ORCID: 0000-0002-0654-6034
OpenAlex ID: A5026449840
Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
2020 · Xueyi Zheng, Zhao Yao, et al. · Nature Communications · 607
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Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma
2017 · Zeju Li, Yuanyuan Wang, et al. · Scientific Reports · 333
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Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics
2020 · Jinhua Yu, Yinhui Deng, et al. · Nature Communications · 323
Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
2016 · Jinhua Yu, Zhifeng Shi, et al. · European Radiology · 212
Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model
2018 · Yuzhou Hu, Yi Guo, et al. · Medical Physics · 202
Radiomics Analysis on Ultrasound for Prediction of Biologic Behavior in Breast Invasive Ductal Carcinoma
2017 · Yi Guo, Yuzhou Hu, et al. · Clinical Breast Cancer · 152
Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images
2018 · Zhao Yao, Yi Dong, et al. · BMC Cancer · 136
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Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study
2019 · He Zhang, Yunfei Mao, et al. · European Radiology · 132
Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis
2020 · Li-Yun Xue, Zhuo-Yun Jiang, et al. · European Radiology · 125
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Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images
2019 · Tongtong Liu, Shichong Zhou, et al. · Technology in Cancer Research & Treatment · 118
Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography
2017 · Qi Zhang, Yang Xiao, et al. · Ultrasound in Medicine & Biology · 108
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors
2017 · Guoqing Wu, Yinsheng Chen, et al. · IEEE Transactions on Medical Imaging · 100
Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
2020 · Yuyang Tong, Ji Li, et al. · Academic Radiology · 97
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Segmentation of Fetal Left Ventricle in Echocardiographic Sequences Based on Dynamic Convolutional Neural Networks
2016 · Li Yu, Yi Guo, et al. · IEEE Transactions on Biomedical Engineering · 96
An Ultrasound Radiomics Nomogram for Preoperative Prediction of Central Neck Lymph Node Metastasis in Papillary Thyroid Carcinoma
2020 · Shi-Chong Zhou, Tong-Tong Liu, et al. · Frontiers in Oncology · 90
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Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers
2023 · Yini Huang, Zhao Yao, et al. · EBioMedicine · 87
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Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach
2018 · Tongtong Liu, Xifeng Ge, et al. · International Journal of Computer Assisted Radiology and Surgery · 86
Ultrasound speckle reduction by a SUSAN-controlled anisotropic diffusion method
2010 · Jinhua Yu, Jinglu Tan, et al. · Pattern Recognition · 84
Intelligent SERS Navigation System Guiding Brain Tumor Surgery by Intraoperatively Delineating the Metabolic Acidosis
2022 · Ziyi Jin, Qi Yue, et al. · Advanced Science · 83
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Image Quality Improvement of Hand-Held Ultrasound Devices With a Two-Stage Generative Adversarial Network
2019 · Zixia Zhou, Yuanyuan Wang, et al. · IEEE Transactions on Biomedical Engineering · 82
Noise reduction and edge detection via kernel anisotropic diffusion
2008 · Jinhua Yu, Yuanyuan Wang, et al. · Pattern Recognition Letters · 72
MRI-based brain tumor segmentation using FPGA-accelerated neural network
2021 · Siyu Xiong, Guoqing Wu, et al. · BMC Bioinformatics · 61
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Dual U-Net for the Segmentation of Overlapping Glioma Nuclei
2019 · Xieli Li, Yuanyuan Wang, et al. · IEEE Access · 58
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High Spatial–Temporal Resolution Reconstruction of Plane-Wave Ultrasound Images With a Multichannel Multiscale Convolutional Neural Network
2018 · Zixia Zhou, Yuanyuan Wang, et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 58
Plane wave compounding based on a joint transmitting-receiving adaptive beamformer
2015 · Jinxin Zhao, Yuanyuan Wang, et al. · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · 58
Works count: 265
Citation count: 5,994
H-index: 37
I10-index: 106
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