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ORCIDYi Wang 0031
Person information
- affiliation: Shenzhen University, School of Biomedical Engineering, Health Science Center, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, China
- affiliation (PhD 2017): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Yi Wang — disambiguation page
- Yi Wang 0001 — Shanghai Jiao Tong University
- Yi Wang 0002
![[0000-0001-7001-9573]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7001-9573")
— University of Plymouth, School of Business, UK (and 1 more) - Yi Wang 0003 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Yi Wang 0004 — Southern University of Science and Technology, University Key Laboratory of Advanced Wireless Communications of Guangdong Province, Shenzhen, China (and 2 more)
- Yi Wang 0005 — Tsinghua University, Department of Innovation, Entrepreneurship and Strategy, Beijing, China
- Yi Wang 0006 — Rolls-Royce Singapore, Singapore (and 3 more)
- Yi Wang 0007 — Xingtera Inc. (and 1 more)
- Yi Wang 0008 — Google Beijing Research, Beijing, China (and 2 more)
- Yi Wang 0009 (aka: Yi Grace Wang) — Syracuse University, Department of Mathematics, NY, USA (and 3 more)
- Yi Wang 0010 — University of California, Riverside (and 1 more)
- Yi Wang 0011 — Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communications, China
- Yi Wang 0012 — Iowa State University
- Yi Wang 0013 — Beijing University of Posts and Telecommunications, China (and 3 more)
- Yi Wang 0014 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Yi Wang 0015 — Department of Physics, Chinese University of Hong Kong
- Yi Estelle Wang (aka: Yi Wang 0016) — Continental Automotive Singapore (and 1 more)
- Yi Wang 0017 — Dongguan University of Technology, China (and 1 more)
- Yi Wang 0018 — Huawei Technologies Co Ltd: Shanghai, China (and 3 more)
- Yi Wang 0019 — Zhejiang University of Finance and Economics, School of Mathematics and Statistics, Hangzhou, China
- Yi Wang 0020 — University of Birmingham, UK (and 2 more)
- Yi Wang 0021 — China University of Geosciences, Institute of Geophysics and Geomatics, Wuhan, China (and 1 more)
- Yi Wang 0022 — University of Hong Kong, Shenzhen, Department of Electrical and Electronic Engineering, Hong Kong (and 3 more)
- Yi Wang 0023 — Southwestern University of Finance and Economics, School of Business Administration, Chengdu, China (and 2 more)
- Yi Wang 0024 — Harbin Institute of Technology, Shenzhen Graduate School, China (and 1 more)
- Yi Wang 0025 — University of Sherbrooke, QC, Canada
- Yi Wang 0026 — The University of Iowa, Department of Chemical and Biochemical Engineering, Iowa City, IA, USA
- Yi Wang 0027 — Dalian University of Technology, School of Mathematical Sciences, China
- Yi Wang 0028 — Weill Cornell Medical College, Department of Radiology, New York, NY, USA (and 1 more)
- Yi Wang 0029 — Beijing Jiaotong University, Department of Mathematics, China
- Yi Wang 0030 — Manhattan College, Department of Electrical and Computer Engineering, Riverdale, NY, USA (and 1 more)
- Yi Wang 0032 — Zhengzhou University of Aeronautics, School of Electronics and Communication Engineering, China (and 1 more)
- Yi Wang 0033 — Peking University Shenzhen Graduate School, School of Electrical and Computer Engineering, China
- Yi Wang 0034 — China University of Petroleum (Beijing), National Engineering Laboratory for Pipeline Safety, China
- Yi Wang 0035 — University of Southern California, School of Engineering, Los Angeles, CA, USA
- Yi Wang 0036 — National University of Defense Technology, School of Computer, Changsha, China
- Yi Wang 0037 — Dalian University of Technology, School of Software, China (and 1 more)
- Yi Wang 0038 — Sichuan University, College of Computer Science, Chengdu, China
- Yi Wang 0039 — University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
- Yi Wang 0041 — National ICT Australia (and 1 more)
- Yi Wang 0042 — University of Hong Kong, Department of Computer Science
- Yi Wang 0043 — Chongqing University, College of Mechanical Engineering, China (and 1 more)
- Yi Wang 0044 — Texas A&M University, Department of Atmospheric Sciences, College Station, TX, USA
- Yi Wang 0045 — Southwest University, School of Computer and Information Science, Chongqing, China
- Yi Wang 0046 — Xiamen University, Department of Cognitive Science, Fujian, China
- Yi Wang 0047 — North China University of Technology, School of Information and Engineering, Beijing, China
- Yi Wang 0048 — Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- Yi Wang 0049 — Huazhong University of Science and Technology, Department of Electronics and Information Engineering, Wuhan, China
- Yi Wang 0050 — University of York, Department of Electronics, UK
- Yi Wang 0051 — Hubei University, School of Computer Science and Information Engineering, Wuhan, China
- Yi Wang 0052 — Southwest University, Biological Science Research Center, Chongqing, China (and 2 more)
- Yi Wang 0053 — North China Electric Power University, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding, China
- Yi Wang 0054 — University of Science and Technology of China, School of Mathematical Science, Hefei, China
- Yi Wang 0055 — National University of Defence Technology, School of Computer, Changsha, China
- Yi Wang 0056 — Nankai University, Tianjin, China
- Yi Wang 0057 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
- Yi Wang 0058 — Chinese Academy of Sciences, Ningbo Institute of Materials Technology and Engineering, China
- Yi Wang 0059 — Nanjing University of Aeronautics and Astronautics, College of Electronic and Information Engineering, China
- Yi Wang 0060 — Shandong University of Finance and Economics, School of Mathematics and Quantitative Economics, Jinan, China
- Yi Wang 0061 — Wuhan University, College of Chemistry and Molecular Sciences, MoE Engineering Research Center of Organosilicon Compounds & Materials, China
- Yi Wang 0062 — Tianjin University of Commerce, Department of Mathematics, China
- Yi Wang 0063 — Sun Yat-sen University, School of Earth Sciences and Engineering, Guangzhou, China (and 1 more)
- Yi Wang 0064 — University of Saskatchewan, Department of Electrical and Computer Engineering, Saskatoon, Canada
- Yi Wang 0065 — Imperial College London, Department of Electrical and Electronic Engineering, UK
- Yi Wang 0066 — Tianjin University, School of Precision Instruments and Opto-Electronic Engineering, China
- Yi Wang 0067 — University of Washington, Department of Radiology, Seattle, WA, USA (and 2 more)
- Yi Wang 0068 — Nanyang Technological University, School of Electrical and Electronic Engineering, Jurong West, Singapore
- Yi Wang 0069 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Yi Wang 0070 — University of South Carolina, Columbia, SC, USA
- Yi Wang 0071 — Nanjing University of Posts and Telecommunications, School of Modern Posts, China
- Yi Wang 0072 — Technical University of Munich (TUM), Data Science in Earth Observation, Munich, Germany (and 2 more)
- Yi Wang 0073 — Anhui University, Information Materials and Intelligent Sensing Laboratory of Anhui Province, Hefei, China (and 1 more)
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2020 – today
- 2024
[j17]Zefan Yang, Di Lin, Dong Ni, Yi Wang:
Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation. Expert Syst. Appl. 238(Part C): 122024 (2024)- [j16]Zefan Yang, Di Lin, Dong Ni, Yi Wang:
Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation. Expert Syst. Appl. 249: 123856 (2024) - [j15]Zhuoyuan Wang, Dong Sun, Xiangyun Zeng, Ruodai Wu, Yi Wang:
Contextual embedding learning to enhance 2D networks for volumetric image segmentation. Expert Syst. Appl. 253: 124279 (2024) - [j14]Haiqiao Wang, Dong Ni, Yi Wang:
Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration. IEEE Trans. Medical Imaging 43(6): 2229-2240 (2024) - [c21]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. ACL (Findings) 2024: 6857-6868 - [c20]Zixian Li, Yuming Zhong, Yi Wang:
Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. CBMS 2024: 496-501 - [c19]Zhuoyuan Wang, Haiqiao Wang, Yi Wang:
Pyramid Attention Network for Medical Image Registration. ISBI 2024: 1-5 - [i20]Zhuoyuan Wang, Haiqiao Wang, Yi Wang:
Pyramid Attention Network for Medical Image Registration. CoRR abs/2402.09016 (2024) - [i19]Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding:
Learning to Maximize Mutual Information for Chain-of-Thought Distillation. CoRR abs/2403.03348 (2024) - [i18]Haiqiao Wang, Zhuoyuan Wang, Dong Ni, Yi Wang:
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration. CoRR abs/2403.16526 (2024) - [i17]Zhuoyuan Wang, Dong Sun, Xiangyun Zeng, Ruodai Wu, Yi Wang:
Contextual Embedding Learning to Enhance 2D Networks for Volumetric Image Segmentation. CoRR abs/2404.01723 (2024) - [i16]Zhuoyuan Wang, Haiqiao Wang, Yi Wang:
Encoding Matching Criteria for Cross-domain Deformable Image Registration. CoRR abs/2406.12350 (2024) - [i15]Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng-Ann Heng, Yi Wang:
A Review of Image Processing Methods in Prostate Ultrasound. CoRR abs/2407.00678 (2024) - [i14]Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Lap-Pui Chau, Shaohui Mei:
PADetBench: Towards Benchmarking Physical Attacks against Object Detection. CoRR abs/2408.09181 (2024) - [i13]Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He:
G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. CoRR abs/2408.09458 (2024) - 2023
- [j13]Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang:
Joint-phase attention network for breast cancer segmentation in DCE-MRI. Expert Syst. Appl. 224: 119962 (2023) - [c18]Yuming Zhong, Yi Wang:
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI. MICCAI (4) 2023: 567-577 - [c17]Haiqiao Wang, Dong Ni, Yi Wang:
ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer. MICCAI (10) 2023: 740-749 - [i12]Haiqiao Wang, Dong Ni, Yi Wang:
ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer. CoRR abs/2306.05688 (2023) - [i11]Yuming Zhong, Yi Wang:
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI. CoRR abs/2306.16714 (2023) - 2022
- [j12]Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu:
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Anal. 80: 102487 (2022) - [j11]Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen:
Deep LSAC for Fine-Grained Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(1): 200-214 (2022) - [c16]Zefan Yang, Yi Wang:
Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT. CBMS 2022: 125-130 - [c15]Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang:
Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. CBMS 2022: 355-359 - [i10]Zefan Yang, Di Lin, Yi Wang:
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation. CoRR abs/2201.00317 (2022) - [i9]Zefan Yang, Di Lin, Dong Ni, Yi Wang:
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image Segmentation. CoRR abs/2210.10956 (2022) - 2021
- [j10]Xin Yang, Haoming Li, Yi Wang, Xiaowen Liang, Chaoyu Chen, Xu Zhou, Fengyi Zeng, Jinghui Fang, Alejandro Frangi, Zhiyi Chen, Dong Ni:
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound. Medical Image Anal. 73: 102134 (2021) - [j9]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification. IEEE Trans. Cybern. 51(4): 2242-2252 (2021) - [c14]Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang:
Reciprocal Learning for Semi-supervised Segmentation. MICCAI (2) 2021: 352-361 - [i8]Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu:
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. CoRR abs/2110.08048 (2021) - 2020
- [j8]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. Comput. Methods Programs Biomed. 194: 105519 (2020) - [j7]Dong Sun, Yi Wang, Dong Ni, Tianfu Wang:
AutoPath: Image-Specific Inference for 3D Segmentation. Frontiers Neurorobotics 14: 49 (2020) - [j6]Yi Wang, Na Wang, Min Xu, Junxiong Yu, Chenchen Qin, Xiao Luo, Xin Yang, Tianfu Wang, Anhua Li, Dong Ni:
Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound. IEEE Trans. Medical Imaging 39(4): 866-876 (2020) - [c13]Zhenyu Zhu, Yiqin Cao, Chenchen Qin, Yi Rao, Dong Ni, Yi Wang:
Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration. EMBC 2020: 1355-1359 - [c12]Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni:
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. ISBI 2020: 1793-1797 - [c11]Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni:
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network. MICCAI (6) 2020: 181-189 - [c10]Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin:
RANet: Region Attention Network for Semantic Segmentation. NeurIPS 2020 - [i7]Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni:
Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs. CoRR abs/2004.00226 (2020) - [i6]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes. CoRR abs/2004.13567 (2020) - [i5]Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni:
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network. CoRR abs/2007.16133 (2020)
2010 – 2019
- 2019
- [j5]Qingqing Zheng, Yi Wang, Pheng-Ann Heng:
Online Subspace Learning from Gradient Orientations for Robust Image Alignment. IEEE Trans. Image Process. 28(7): 3383-3394 (2019) - [j4]Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. IEEE Trans. Medical Imaging 38(12): 2768-2778 (2019) - [c9]Chuanlu Lin, Yi Wang, Tianfu Wang, Dong Ni:
Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition. ISBI 2019: 1878-1881 - [c8]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. MICCAI (5) 2019: 281-289 - [i4]Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni:
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. CoRR abs/1907.01743 (2019) - [i3]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. CoRR abs/1910.04935 (2019) - 2018
- [j3]Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni:
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE J. Biomed. Health Informatics 22(1): 215-223 (2018) - [j2]Yi Wang, Qingqing Zheng, Pheng-Ann Heng:
Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration. IEEE Trans. Medical Imaging 37(4): 1067-1078 (2018) - [c7]Na Wang, Yi Wang, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni:
Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. ISBI 2018: 1479-1482 - [c6]Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng:
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. STACOM@MICCAI 2018: 246-254 - [c5]Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, Dong Ni:
Deep Attentional Features for Prostate Segmentation in Ultrasound. MICCAI (4) 2018: 523-530 - [c4]Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni:
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. MICCAI (4) 2018: 641-648 - [i2]Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng:
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. CoRR abs/1812.05807 (2018) - 2017
- [c3]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. AAAI 2017: 1633-1639 - 2016
- [j1]Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, Xiaoyan Xie, Pheng-Ann Heng:
Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. IEEE Trans. Medical Imaging 35(2): 589-604 (2016) - [i1]Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng:
Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. CoRR abs/1612.01655 (2016) - 2014
- [c2]Yi Wang, Dong Ni, Jing Qin, Xin Yang, Xiaoyan Xie, Muqing Lin, Pheng-Ann Heng:
Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration. ISBI 2014: 782-785 - [c1]Yi Wang, Dong Ni, Jing Qin, Muqing Lin, Xiaoyan Xie, Ming Xu, Pheng-Ann Heng:
Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration. CARE@MICCAI 2014: 121-130
Coauthor Index
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