Yi Wang

According to our database, Yi Wang authored at least 47 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration.

Haiqiao Wang, Dong Ni, Yi Wang

IEEE Trans. Medical Imaging, June, 2024

Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., March, 2024

Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation.

Zefan Yang, Di Lin, Dong Ni, Yi Wang

Expert Syst. Appl., 2024

Contextual embedding learning to enhance 2D networks for volumetric image segmentation.

Zhuoyuan Wang, Dong Sun, Xiangyun Zeng, Ruodai Wu, Yi Wang

Expert Syst. Appl., 2024

FiRework: Field Refinement Framework for Efficient Enhancement of Deformable Registration.

Haiqiao Wang, Dong Ni, Yi Wang

CoRR, 2024

G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors.

Haoxin Yang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Jing Qin, Yi Wang, Pheng-Ann Heng, Shengfeng He

CoRR, 2024

PADetBench: Towards Benchmarking Physical Attacks against Object Detection.

Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Lap-Pui Chau, Shaohui Mei

CoRR, 2024

A Review of Image Processing Methods in Prostate Ultrasound.

Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng-Ann Heng, Yi Wang

CoRR, 2024

Encoding Matching Criteria for Cross-domain Deformable Image Registration.

Zhuoyuan Wang, Haiqiao Wang, Yi Wang

CoRR, 2024

ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration.

Haiqiao Wang, Zhuoyuan Wang, Dong Ni, Yi Wang

CoRR, 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding

CoRR, 2024

Pyramid Attention Network for Medical Image Registration.

Zhuoyuan Wang, Haiqiao Wang, Yi Wang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI.

Zixian Li, Yuming Zhong, Yi Wang

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation.

Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Joint-phase attention network for breast cancer segmentation in DCE-MRI.

Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang

Expert Syst. Appl., August, 2023

SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI.

Yuming Zhong, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer.

Haiqiao Wang, Dong Ni, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Deep LSAC for Fine-Grained Recognition.

Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

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

Medical Image Anal., 2022

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation.

Zefan Yang, Di Lin, Yi Wang

CoRR, 2022

Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT.

Zefan Yang, Yi Wang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI.

Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification.

Qingqing Zheng, Yi Wang, Pheng-Ann Heng

IEEE Trans. Cybern., 2021

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.

Xin Yang, Haoming Li, Yi Wang, Xiaowen Liang, Chaoyu Chen, Xu Zhou, Fengyi Zeng, Jinghui Fang, Alejandro Frangi, Zhiyi Chen, Dong Ni

Medical Image Anal., 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.

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

CoRR, 2021

Reciprocal Learning for Semi-supervised Segmentation.

Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.

Yi Wang, Na Wang, Min Xu, Junxiong Yu, Chenchen Qin, Xiao Luo, Xin Yang, Tianfu Wang, Anhua Li, Dong Ni

IEEE Trans. Medical Imaging, 2020

AutoPath: Image-Specific Inference for 3D Segmentation.

Dong Sun, Yi Wang, Dong Ni, Tianfu Wang

Frontiers Neurorobotics, 2020

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.

Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni

Comput. Methods Programs Biomed., 2020

RANet: Region Attention Network for Semantic Segmentation.

Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network.

Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration.

Zhenyu Zhu, Yiqin Cao, Chenchen Qin, Yi Rao, Dong Ni, Yi Wang

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound.

Yi Wang, Dong Ni, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang

IEEE Trans. Medical Imaging, 2019

Online Subspace Learning from Gradient Orientations for Robust Image Alignment.

Qingqing Zheng, Yi Wang, Pheng-Ann Heng

IEEE Trans. Image Process., 2019

FetusMap: Fetal Pose Estimation in 3D Ultrasound.

Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition.

Chuanlu Lin, Yi Wang, Tianfu Wang, Dong Ni

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration.

Yi Wang, Qingqing Zheng, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2018

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.

Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni

IEEE J. Biomed. Health Informatics, 2018

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation.

Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Deep Attentional Features for Prostate Segmentation in Ultrasound.

Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.

Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images.

Na Wang, Yi Wang, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images.

Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration.

Yi Wang, Jie-Zhi Cheng, Dong Ni, Muqing Lin, Jing Qin, Xiongbiao Luo, Ming Xu, Xiaoyan Xie, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2016

2014

Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration.

Yi Wang, Dong Ni, Jing Qin, Muqing Lin, Xiaoyan Xie, Ming Xu, Pheng-Ann Heng

Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014

Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration.

Yi Wang, Dong Ni, Jing Qin, Xin Yang, Xiaoyan Xie, Muqing Lin, Pheng-Ann Heng

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014