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Meiyun Wang
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2020 – today
- 2024
- [j23]Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang:
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Medical Imaging 24(1): 28 (2024) - [j22]Han Jiang, Ziqiang Li, Nan Meng, Yu Luo, Pengyang Feng, Fangfang Fu, Yang Yang, Jianmin Yuan, Zhe Wang, Meiyun Wang:
Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer. BMC Medical Imaging 24(1): 290 (2024) - [j21]Biao Qu, Jialue Zhang, Taishan Kang
, Jianzhong Lin, Meijin Lin
Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Comput. Biol. Medicine 168: 107707 (2024) - [j20]Zhenxing Huang
Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. IEEE J. Biomed. Health Informatics 28(9): 5280-5289 (2024) - [j19]Zilong Li
Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. IEEE Trans. Medical Imaging 43(5): 1866-1879 (2024) - [j18]Zhenguo Wang
Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint. IEEE Trans. Medical Imaging 43(7): 2563-2573 (2024) - [c14]Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji:
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. ACL (Findings) 2024: 3120-3131 - [i9]Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji:
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. CoRR abs/2406.10811 (2024) - [i8]Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi:
Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models. CoRR abs/2408.12326 (2024) - 2023
- [j17]Longfei Li
Universal multi-factor feature selection method for radiomics-based brain tumor classification. Comput. Biol. Medicine 164: 107122 (2023) - [j16]Minghan Fu
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics 27(6): 2864-2875 (2023) - [c13]Songsen Cheng
Lightweight Vertebrae Segmentation Network based on Convolutional Multilayer Perceptron and Structural Re-parameterization. ISAIMS 2023: 969-974 - [c12]Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - 2022
- [j15]Huanhuan Wei, Zehua Shao, Jianqing Tai, Fangfang Fu, Chuanjian Lv, Zhiping Guo, Yaping Wu, Lijuan Chen, Yan Bai, Qingxia Wu, Xuan Yu, Xinling Mu, Fengmin Shao, Meiyun Wang:
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status. BMC Medical Imaging 22(1): 209 (2022) - [j14]Yaxin Shang, Zechen Wei
Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical Biol. Eng. Comput. 60(9): 2721-2736 (2022) - [j13]Zixiang Chen
High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. IEEE Trans. Biomed. Eng. 69(12): 3689-3702 (2022) - [c11]Yuru Jiang, Yang Xu, Yuhang Zhan, Weikai He, Yilin Wang, Zixuan Xi, Meiyun Wang, Xinyu Li, Yu Li, Yanchao Yu:
The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues. LREC 2022: 2337-2344 - [c10]Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139 - [i7]Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan:
FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR abs/2207.11678 (2022) - 2021
- [j12]Meiling Li
Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks. NeuroImage 227: 117680 (2021) - [j11]Yongbei Zhu
Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Trans. Biomed. Eng. 68(12): 3725-3736 (2021) - [j10]Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. IEEE J. Biomed. Health Informatics 25(7): 2353-2362 (2021) - 2020
- [j9]Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. 58: 101869 (2020) - [j8]Lingwei Meng
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE J. Biomed. Health Informatics 24(12): 3576-3584 (2020) - [j7]Cong Li
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J. Biomed. Health Informatics 24(12): 3585-3594 (2020) - [i6]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
2010 – 2019
- 2019
- [j6]Yaping Wu
Four-Sequence Maximum Entropy Discrimination Algorithm for Glioma Grading. IEEE Access 7: 52246-52256 (2019) - [j5]Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang:
Automatic glioma segmentation based on adaptive superpixel. BMC Medical Imaging 19(1): 73:1-73:14 (2019) - [j4]Nan Feng, Meiyun Wang, Minqiang Li, Dahui Li
Effect of security investment strategy on the business value of managed security service providers. Electron. Commer. Res. Appl. 35 (2019) - [j3]Zhenyu Liu
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genom. Proteom. Bioinform. 17(4): 441-452 (2019) - [c9]Meiyun Wang, Shanbao Tong, Xiaoli Guo, Menglin Guo, Xu Wang
Dynamic Alterations of EEG Oscillations and Networks from Resting to Deep Meditation. CISP-BMEI 2019: 1-6 - [c8]Shou Wang, Xi Chen
Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. Medical Imaging: Computer-Aided Diagnosis 2019: 1095040 - [c7]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) 2019: 57-65 - [c6]Kehan Qi
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [c5]Hao Yang, Weijian Huang, Kehan Qi
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) 2019: 266-274 - [c4]Menglin Guo, Xiaoli Guo, Meiyun Wang, Xu Wang
Activation of Sympathetic Nervous System as a Biomarker for Deep Meditation. NER 2019: 546-549 - [i5]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i4]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR abs/1907.07008 (2019) - [i3]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR abs/1908.01997 (2019) - [i2]Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter:
Validation of a deep learning mammography model in a population with low screening rates. CoRR abs/1911.00364 (2019) - [i1]William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen:
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. CoRR abs/1912.11027 (2019) - 2018
- [j2]Yaping Wu
Grading glioma by radiomics with feature selection based on mutual information. J. Ambient Intell. Humaniz. Comput. 9(5): 1671-1682 (2018) - [j1]Yongjin Zhou
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - [c3]Shuo Wang, Zhenyu Liu
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC 2018: 2583-2586 - 2017
- [c2]Yusong Lin, Yaping Wu, Haibo Pang, Yaping Wu, Weiguo Wu, Taiyuan Liu, Meiyun Wang:
A precise grading method for glioma based on radiomics. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c1]Haibo Pang, Chengming Liu
Glioma grading based on gentle-adaboost algorithm and radiomics. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5
Coauthor Index
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last updated on 2024-11-07 20:30 CET by the dblp team
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