Personalized modeling of prostate deformation based on elastography for MRI-TRUS registration. - Yi Wang 031; Dong Ni 001; Jing Qin 001; Xin Yang 009; Xiaoyan Xie; Muqing Lin; Pheng-Ann Heng (ISBI, 2014)

Towards Personalized Biomechanical Model and MIND-Weighted Point Matching for Robust Deformable MR-TRUS Registration. - Yi Wang 031; Dong Ni 001; Jing Qin 001; Muqing Lin; Xiaoyan Xie; Ming Xu; Pheng-Ann Heng (CARE@MICCAI, 2014)

Towards Personalized Statistical Deformable Model and Hybrid Point Matching for Robust MR-TRUS Registration. - Yi Wang 031; Jie-Zhi Cheng; Dong Ni 001; Muqing Lin; Jing Qin 001; Xiongbiao Luo; Ming Xu; Xiaoyan Xie; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2016)

Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images. - Xin Yang 009; Lequan Yu; Lingyun Wu; Yi Wang 031; Dong Ni 001; Jing Qin 001; Pheng-Ann Heng (AAAI, 2017)

Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. - Na Wang; Yi Wang 031; Huifang Wang; Baiying Lei; Tianfu Wang 001; Dong Ni 001 (ISBI, 2018)

Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. - Na Wang; Cheng Bian; Yi Wang 031; Min Xu; Chenchen Qin; Xin Yang 009; Tianfu Wang 001; Anhua Li; Dinggang Shen; Dong Ni 001 (MICCAI (4), 2018)

Deep Attentional Features for Prostate Segmentation in Ultrasound. - Yi Wang 031; Zijun Deng; Xiaowei Hu 001; Lei Zhu 003; Xin Yang 009; Xuemiao Xu; Pheng-Ann Heng; Dong Ni 001 (MICCAI (4), 2018)

Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation. - Xin Yang 009; Na Wang; Yi Wang 031; Xu Wang 017; Reza Nezafat; Dong Ni 001; Pheng-Ann Heng (STACOM@MICCAI, 2018)

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. - Jing Li; Yi Wang 031; Baiying Lei; Jie-Zhi Cheng; Jing Qin 001; Tianfu Wang 001; Shengli Li 001; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2018)

Online Robust Projective Dictionary Learning: Shape Modeling for MR-TRUS Registration. - Yi Wang 031; Qingqing Zheng; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2018)

Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition. - Chuanlu Lin; Yi Wang 031; Tianfu Wang 001; Dong Ni 001 (ISBI, 2019)

FetusMap: Fetal Pose Estimation in 3D Ultrasound. - Xin Yang 009; Wenlong Shi; Haoran Dou; Jikuan Qian; Yi Wang 031; Wufeng Xue; Shengli Li 001; Dong Ni 001; Pheng-Ann Heng (MICCAI (5), 2019)

Online Subspace Learning from Gradient Orientations for Robust Image Alignment. - Qingqing Zheng; Yi Wang 031; Pheng-Ann Heng (IEEE Trans. Image Process., 2019)

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound. - Yi Wang 031; Dong Ni 001; Haoran Dou; Xiaowei Hu 001; Lei Zhu 003; Xin Yang 009; Ming Xu; Jing Qin 001; Pheng-Ann Heng; Tianfu Wang 001 (IEEE Trans. Medical Imaging, 2019)

Unsupervised 3D End-to-end Deformable Network for Brain MRI Registration. - Zhenyu Zhu; Yiqin Cao; Chenchen Qin; Yi Rao; Dong Ni 001; Yi Wang 031 (EMBC, 2020)

Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. - Jiamin Liang; Xin Yang 009; Haoming Li 008; Yi Wang 031; Manh The Van; Haoran Dou; Chaoyu Chen; Jinghui Fang; Xiaowen Liang; Zixin Mai; Guowen Zhu; Zhiyi Chen; et al. (ISBI, 2020)

Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network. - Junxiong Yu; Chaoyu Chen; Xin Yang 009; Yi Wang 031; Dan Yan; Jianxing Zhang; Dong Ni 001 (MICCAI (6), 2020)

RANet: Region Attention Network for Semantic Segmentation. - Dingguo Shen; Yuanfeng Ji; Ping Li 016; Yi Wang 031; Di Lin 002 (NeurIPS, 2020)

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. - Xin Yang 009; Xu Wang 017; Yi Wang 031; Haoran Dou; Shengli Li 001; Huaxuan Wen; Yi Lin; Pheng-Ann Heng; Dong Ni 001 (Comput. Methods Programs Biomed., 2020)

AutoPath: Image-Specific Inference for 3D Segmentation. - Dong Sun; Yi Wang 031; Dong Ni 001; Tianfu Wang 001 (Frontiers Neurorobotics, 2020)

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound. - Yi Wang 031; Na Wang; Min Xu; Junxiong Yu; Chenchen Qin; Xiao Luo; Xin Yang 009; Tianfu Wang 001; Anhua Li; Dong Ni 001 (IEEE Trans. Medical Imaging, 2020)

Reciprocal Learning for Semi-supervised Segmentation. - Xiangyun Zeng; Rian Huang; Yuming Zhong; Dong Sun; Chu Han; Di Lin 002; Dong Ni 001; Yi Wang 031 (MICCAI (2), 2021)

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Xiaowei Xu; Su Yao; Lixu Yan; et al. (CoRR, 2021)

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound. - Xin Yang 009; Haoming Li 008; Yi Wang 031; Xiaowen Liang; Chaoyu Chen; Xu Zhou 005; Fengyi Zeng; Jinghui Fang; Alejandro Frangi; Zhiyi Chen; Dong Ni 001 (Medical Image Anal., 2021)

Multitask Feature Learning Meets Robust Tensor Decomposition for EEG Classification. - Qingqing Zheng; Yi Wang 031; Pheng-Ann Heng (IEEE Trans. Cybern., 2021)

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 031 (CBMS, 2022)

Graph-based Regional Feature Enhancing for Abdominal Multi-Organ Segmentation in CT. - Zefan Yang; Yi Wang 031 (CBMS, 2022)

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation. - Zefan Yang; Di Lin 002; Yi Wang 031 (CoRR, 2022)

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Zeyan Xu; Su Yao; Lixu Yan; et al. (Medical Image Anal., 2022)

Deep LSAC for Fine-Grained Recognition. - Di Lin 002; Yi Wang 031; Lingyu Liang; Ping Li 016; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer. - Haiqiao Wang; Dong Ni 001; Yi Wang 031 (MICCAI (10), 2023)

SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI. - Yuming Zhong; Yi Wang 031 (MICCAI (4), 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 031 (Expert Syst. Appl., 2023)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (ACL (Findings), 2024)

Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. - Zixian Li; Yuming Zhong; Yi Wang 031 (CBMS, 2024)

Pyramid Attention Network for Medical Image Registration. - Zhuoyuan Wang; Haiqiao Wang; Yi Wang 031 (ISBI, 2024)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen 040; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (CoRR, 2024)

ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration. - Haiqiao Wang; Zhuoyuan Wang; Dong Ni 001; Yi Wang 031 (CoRR, 2024)

Encoding Matching Criteria for Cross-domain Deformable Image Registration. - Zhuoyuan Wang; Haiqiao Wang; Yi Wang 031 (CoRR, 2024)

A Review of Image Processing Methods in Prostate Ultrasound. - Haiqiao Wang; Hong Wu; Zhuoyuan Wang; Peiyan Yue; Dong Ni 001; Pheng-Ann Heng; Yi Wang 031 (CoRR, 2024)

G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors. - Haoxin Yang; Xuemiao Xu; Cheng Xu; Huaidong Zhang; Jing Qin 001; Yi Wang 031; Pheng-Ann Heng; Shengfeng He (CoRR, 2024)

FiRework: Field Refinement Framework for Efficient Enhancement of Deformable Registration. - Haiqiao Wang; Dong Ni 001; Yi Wang 031 (CoRR, 2024)

Contextual embedding learning to enhance 2D networks for volumetric image segmentation. - Zhuoyuan Wang; Dong Sun; Xiangyun Zeng; Ruodai Wu; Yi Wang 031 (Expert Syst. Appl., 2024)

Recurrent feature propagation and edge skip-connections for automatic abdominal organ segmentation. - Zefan Yang; Di Lin 002; Dong Ni 001; Yi Wang 031 (Expert Syst. Appl., 2024)

Non-iterative scribble-supervised learning with pacing pseudo-masks for medical image segmentation. - Zefan Yang; Di Lin 002; Dong Ni 001; Yi Wang 031 (Expert Syst. Appl., 2024)

Recursive Deformable Pyramid Network for Unsupervised Medical Image Registration. - Haiqiao Wang; Dong Ni 001; Yi Wang 031 (IEEE Trans. Medical Imaging, 2024)

Salient Region Matching for Fully Automated MR-TRUS Registration. - Zetian Feng; Dong Ni 001; Yi Wang 031 (ISBI, 2025)

Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI. - Yuming Zhong; Zeyan Xu; Chu Han; Zaiyi Liu; Yi Wang 031 (Biomed. Signal Process. Control., 2025)