Shanshan Wang

161 papers A* 1B 1Journal 116Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Good Performance Estimation Strategies are All You Need in Neural Architecture Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiawu Zheng, Lei Zhang, Binghan Chen, Mingkai Wang, Fei Chao, Chenglin Wu, Shanshan Wang, Rongrong Ji, Yonghong Tian
2026 J jnl
Intrinsic Concept Extraction Based on Compositional Interpretability.
CoRR
Hanyu Shi, Hong Tao, Guoheng Huang, Jianbin Jiang, Xuhang Chen, Chi-Man Pun, Shanshan Wang, Pan Pan
2026 J jnl
Spherical Harmonics Representation Learning for High-Fidelity and Generalizable Super-Resolution in Diffusion MRI.
IEEE Trans. Biomed. Eng.
Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Wenxin Fan, Xinrui Ma, Hua Guo, Yong Liang, Shanshan Wang
2026 J jnl
Unified Brain Network Representation Learning via Adaptive Multimodal Fusion for Alzheimer's Disease Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Hongjie Jiang, Yongcheng Zong, Guoheng Huang, Sibo Qiao, Shanshan Wang, Peipeng Liang, Michael Kwok-Po Ng, Shuqiang Wang
2025 — conf
3D Anatomical Structure-Guided Deep Learning for Accurate Diffusion Microstructure Imaging.
ISBI
Xinrui Ma, Jian Cheng, Wenxin Fan, Ruoyou Wu, Yongquan Ye, Shanshan Wang
2025 J jnl
3D Anatomical Structure-guided Deep Learning for Accurate Diffusion Microstructure Imaging.
CoRR
Xinrui Ma, Jian Cheng, Wenxin Fan, Ruoyou Wu, Yongquan Ye, Shanshan Wang
2025 — conf
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.
MICCAI (10)
Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang
2025 J jnl
A Lightweight Network With Uncertainty-Guided Latent Space Refinement for Multi-Modal Brain Tissue and Tumor Extraction.
IEEE Trans. Comput. Biol. Bioinform.
Weijian Huang, Cheng Li, Yousuf Babiker M. Osman, Shanshan Wang
2025 J jnl
Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques.
Biomed. Signal Process. Control.
Nazik Elsayed, Yousuf Babiker M. Osman, Cheng Li, Jiarun Liu, Weixin Si, Jiong Zhang, Shanshan Wang
2025 J jnl
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis.
CoRR
Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025 J jnl
ConnectomeDiffuser: Generative AI Enables Brain Network Construction From Diffusion Tensor Imaging.
IEEE Trans. Consumer Electron.
Xuhang Chen, Yanyan Shen, Mufti Mahmud, Michael Kwok-Po Ng, Kim-Fung Tsang, Shanshan Wang, Chi-Man Pun, Shuqiang Wang
2025 J jnl
Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation.
CoRR
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Ruoyou Wu, Jianzhong He, Hairong Zheng, Shanshan Wang
2025 J jnl
Dual-Uncertainty Guided Multimodal MRI-Based Visual Pathway Extraction.
IEEE Trans. Biomed. Eng.
Alou Diakite, Cheng Li, Yousuf Babiker M. Osman, Zan Chen, Yiang Pan, Jiawei Zhang, Tao Tan, Hairong Zheng, Shanshan Wang
2025 J jnl
Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Fan Zhang, Huiying Liu, Qing Cai, Chun-Mei Feng, Binglu Wang, Shanshan Wang, Junyu Dong, David Zhang
2025 J jnl
Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search.
IEEE Trans. Medical Imaging
Ruoyou Wu, Cheng Li, Juan Zou, Xinfeng Liu, Hairong Zheng, Shanshan Wang
2025 J jnl
Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network.
IEEE Trans. Pattern Anal. Mach. Intell.
Tao Chen, Dan Zhang, Da Chen, Huazhu Fu, Kai Jin, Shanshan Wang, Laurent D. Cohen, Yitian Zhao, Quanyong Yi, Jiong Zhang
2025 J jnl
Optimized Vessel Segmentation: A Structure-Agnostic Approach With Small Vessel Enhancement and Morphological Correction.
IEEE Trans. Image Process.
Dongning Song, Weijian Huang, Jiarun Liu, Md Jahidul Islam, Hao Yang, Shuqiang Wang, Hairong Zheng, Shanshan Wang
2025 J jnl
Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI.
CoRR
Mu Nan, Taohui Xiao, Ruoyou Wu, Shoujun Yu, Ye Li, Hairong Zheng, Shanshan Wang
2025 J jnl
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 — conf
AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning.
CDMRI@MICCAI
Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang
2024 J jnl
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang
2024 J jnl
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang
2024 — conf
Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning.
MLMI@MICCAI (1)
Shoujun Yu, Cheng Li, Yousuf Babiker M. Osman, Shanshan Wang, Hairong Zheng
2024 — conf
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning.
MLMI@MICCAI (1)
Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Jing Yang, Wenxin Fan, Yong Liang, Shanshan Wang
2024 J jnl
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang
2024 J jnl
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset.
CoRR
Shanshan Wang, Shoujun Yu, Jian Cheng, Sen Jia, Changjun Tie, Jia Zhu, Haohao Peng, Yijing Dong, Jianzhong He, Fan Zhang, Yaowen Xing, Xiuqin Jia, Qi Yang, Qiyuan Tian, Hua Guo, Guobin Li, Hairong Zheng
2024 — conf
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
ISBI
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
CoRR
Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang
2024 J jnl
Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
2024 J jnl
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation.
CoRR
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Shanshan Wang
2024 — conf
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation.
ISBI
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang
2024 J jnl
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.
CoRR
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models.
Big Data Min. Anal.
Mianxin Liu, Weiguo Hu, Jinru Ding, Jie Xu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang
2024 J jnl
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models.
CoRR
Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang
2024 — conf
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.
ISBI
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation.
CoRR
Hua Han, Cheng Li, Lei Xie, Yuanjing Feng, Alou Diakite, Shanshan Wang
2024 J jnl
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data.
Comput. Biol. Medicine
Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang
2024 — conf
Multimodal Self-Supervised Learning for Lesion Localization.
ISBI
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024 J jnl
Multimodal self-supervised learning for lesion localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
2024 J jnl
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
Zhenguo Wang, Yaping Wu, Zeheng Xia, Xinyi Chen, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Shanshan Wang, Meiyun Wang, Tao Sun
2024 — conf
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation.
CDMRI@MICCAI
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation.
CoRR
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI.
CoRR
Taohui Xiao, Jian Cheng, Wenxin Fan, Enqing Dong, Hairong Zheng, Shanshan Wang
2024 J jnl
Self-Supervised Federated Learning for Fast MR Imaging.
IEEE Trans. Instrum. Meas.
Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang
2024 — conf
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging.
ISBI
Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang
2024 J jnl
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging.
CoRR
Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2023 — conf
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.
ISBI
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2023 J jnl
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
CoRR
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Shanshan Wang
2023 — conf
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.
ISBI
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2023 J jnl
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.
CoRR
Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang
2023 J jnl
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading.
Biomed. Signal Process. Control.
Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang
2023 — conf
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang
2023 J jnl
Few-shot Class-incremental Learning for Cross-domain Disease Classification.
CoRR
Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang
2023 — conf
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction.
ISBI
Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang
2023 J jnl
MGA: Medical generalist agent through text-guided knowledge transformation.
CoRR
Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang
2023 A* conf
Meta Architecture for Point Cloud Analysis.
CVPR
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2023 J jnl
One-Shot Generative Prior in Hankel-k-Space for Parallel Imaging Reconstruction.
IEEE Trans. Medical Imaging
Hong Peng, Chen Jiang, Jing Cheng, Minghui Zhang, Shanshan Wang, Dong Liang, Qiegen Liu
2023 J jnl
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng
2023 J jnl
Partition-based K-space Synthesis for Multi-contrast Parallel Imaging.
CoRR
Yuxia Huang, Zhonghui Wu, Xiaoling Xu, Minghui Zhang, Shanshan Wang, Qiegen Liu
2023 — conf
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
ISBI
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang
2023 J jnl
Specificity-Preserving Federated Learning for MR Image Reconstruction.
IEEE Trans. Medical Imaging
Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu
2023 — conf
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
ISBI
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
2023 J jnl
Uncertainty-guided transformer for brain tumor segmentation.
Medical Biol. Eng. Comput.
Zan Chen, Chenxu Peng, Wenlong Guo, Lei Xie, Shanshan Wang, Qichuan ZhuGe, Caiyun Wen, Yuanjing Feng
2023 J jnl
Variable Augmented Network for Invertible Modality Synthesis and Fusion.
IEEE J. Biomed. Health Informatics
Yuhao Wang, Ruirui Liu, Zihao Li, Shanshan Wang, Cailian Yang, Qiegen Liu
2022 J jnl
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI.
CoRR
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2022 J jnl
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans.
CoRR
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2022 J jnl
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading.
CoRR
Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang
2022 J jnl
Iterative Data Refinement for Self-Supervised MR Image Reconstruction.
CoRR
Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang
2022 J jnl
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction.
CoRR
Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang
2022 J jnl
Meta Architecure for Point Cloud Analysis.
CoRR
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2022 J jnl
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging.
CoRR
Hui Tao, Haifeng Wang, Shanshan Wang, Dong Liang, Xiaoling Xu, Qiegen Liu
2022 J jnl
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging.
CoRR
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng
2022 — conf
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
MLMIR@MICCAI
Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang
2022 J jnl
Rethinking the optimization process for self-supervised model-driven MRI reconstruction.
CoRR
Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang
2022 J jnl
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging.
CoRR
Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang
2022 J jnl
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
CoRR
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang
2022 J jnl
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
CoRR
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
2022 — conf
Universal Generative Modeling for Calibration-Free Parallel Mr Imaging.
ISBI
Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
2022 J jnl
Universal Generative Modeling for Calibration-free Parallel Mr Imaging.
CoRR
Wanqing Zhu, Bing Guan, Shanshan Wang, Minghui Zhang, Qiegen Liu
2022 J jnl
Variable Augmented Network for Invertible MR Coil Compression.
CoRR
Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu
2021 J jnl
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.
IEEE Trans. Medical Imaging
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2021 — conf
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
MICCAI (1)
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
CoRR
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
2021 — conf
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation.
ISBI
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
2021 J jnl
Deep learning for fast MR imaging: A review for learning reconstruction from incomplete k-space data.
Biomed. Signal Process. Control.
Shanshan Wang, Taohui Xiao, Qiegen Liu, Hairong Zheng
2021 — conf
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.
MICCAI (3)
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.
CoRR
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction.
IEEE Trans. Medical Imaging
Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
2021 J jnl
MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiran Jiang, Jiaxin Li, Yangyang Kan, Tao Yu, Shijie Chang, Xianzheng Sha, Hairong Zheng, Yahong Luo, Shanshan Wang
2021 J jnl
MRI Reconstruction Using Deep Energy-Based Model.
CoRR
Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang
2021 J jnl
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang
2021 J jnl
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.
CoRR
Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang
2021 J jnl
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
CoRR
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2021 — conf
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
MICCAI (6)
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2021 J jnl
Triple attention learning for classification of 14 thoracic diseases using chest radiography.
Medical Image Anal.
Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, Yong Xia
2020 — conf
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging.
ICCPR
Zhenkun Peng, Jiaxin Li, Cheng Li, Lan Zhang, Hairong Zheng, Shanshan Wang
2020 J jnl
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2020 J jnl
A comparative study of CNN-based super-resolution methods in MRI reconstruction and its beyond.
Signal Process. Image Commun.
Wei Zeng, Jie Peng, Shanshan Wang, Qiegen Liu
2020 J jnl
AIDE: Annotation-efficient deep learning for automatic medical image segmentation.
CoRR
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
2020 — conf
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.
MIDL
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020 J jnl
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.
CoRR
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed
2020 — conf
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion.
ISBI
Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu
2020 — conf
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.
ISBI
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu
2020 J jnl
High-dimensional embedding network derived prior for compressive sensing MRI reconstruction.
Medical Image Anal.
Minghui Zhang, Mengting Li, Jinjie Zhou, Yanjie Zhu, Shanshan Wang, Dong Liang, Yang Chen, Qiegen Liu
2020 J jnl
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction.
CoRR
Cong Quan, Jinjie Zhou, Yuanzheng Zhu, Yang Chen, Shanshan Wang, Dong Liang, Qiegen Liu
2020 J jnl
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI.
IEEE Trans. Computational Imaging
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
2020 — conf
Laplacian pyramid-based complex neural network learning for fast MR imaging.
MIDL
Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang
2020 — conf
Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning.
ISBI Workshops
Yu Gong, Hongming Shan, Yueyang Teng, Hairong Zheng, Ge Wang, Shanshan Wang
2020 J jnl
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.
Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2020 — conf
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning.
ISBI
Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang
2020 J jnl
Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning.
CoRR
Kehan Qi, Yu Gong, Xinfeng Liu, Xin Liu, Hairong Zheng, Shanshan Wang
2020 J jnl
Transformed denoising autoencoder prior for image restoration.
J. Vis. Commun. Image Represent.
Jinjie Zhou, Zhuonan He, Xiaodong Liu, Yuhao Wang, Shanshan Wang, Qiegen Liu
2019 — conf
A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction.
ISBI
Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang
2019 — conf
A Network-Driven Prior Induced Bregman Model for Parallel MR Imaging.
EMBC
Guanyu Li, Yiling Liu, Minghui Zhang, Shanshan Wang, Yanjie Zhu, Qiegen Liu, Dong Liang
2019 — conf
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
MICCAI (3)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
CoRR
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint.
CoRR
Ziwen Ke, Shanshan Wang, Huitao Cheng, Leslie Ying, Qiegen Liu, Hairong Zheng, Dong Liang
2019 J jnl
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation.
CoRR
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
2019 J jnl
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution.
CoRR
Shanshan Wang, Huitao Cheng, Leslie Ying, Taohui Xiao, Ziwen Ke, Xin Liu, Hairong Zheng, Dong Liang
2019 — conf
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.
ISICDM
Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang
2019 B conf
High-Dimensional Embedding Denoising Autoencoding Prior for Color Image Restoration.
ICIP
Yuan Yuan, Jinjie Zhou, Zhuonan He, Shanshan Wang, Biao Xiong, Qiegen Liu
2019 J jnl
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI.
CoRR
Yiling Liu, Qiegen Liu, Minghui Zhang, Qingxin Yang, Shanshan Wang, Dong Liang
2019 J jnl
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset.
CoRR
Shanshan Wang, Yanxia Chen, Taohui Xiao, Ziwen Ke, Qiegen Liu, Hairong Zheng
2019 — conf
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
MICCAI (2)
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
CoRR
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.
IEEE Access
Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang
2019 — conf
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
MICCAI (3)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 J jnl
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
CoRR
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 J jnl
Multi-Noise and Multi-Channel Derived Prior Information for Grayscale Image Restoration.
IEEE Access
Minghui Zhang, Yuan Yuan, Fengqin Zhang, Siyuan Wang, Shanshan Wang, Qiegen Liu
2019 J jnl
Parameter Constrained Transfer Learning for Low Dose PET Image Denoising.
CoRR
Yu Gong, Yueyang Teng, Hongming Shan, Taohui Xiao, Ming Li, Guodong Liang, Ge Wang, Shanshan Wang
2019 J jnl
VST-Net: Variance-stabilizing transformation inspired network for Poisson denoising.
J. Vis. Commun. Image Represent.
Minghui Zhang, Fengqin Zhang, Qiegen Liu, Shanshan Wang
2019 — conf
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.
MICCAI (3)
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2019 J jnl
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies.
CoRR
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2018 J jnl
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.
IEEE Trans. Biomed. Eng.
Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2018 J jnl
AUNet: Breast Mass Segmentation of Whole Mammograms.
CoRR
Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang
2018 J jnl
Classifying Mammographic Breast Density by Residual Learning.
CoRR
Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang
2018 J jnl
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training.
CoRR
Shanshan Wang, Ziwen Ke, Huitao Cheng, Sen Jia, Leslie Ying, Hairong Zheng, Dong Liang
2018 J jnl
Field-of-Experts Filters Guided Tensor Completion.
IEEE Trans. Multim.
Biao Xiong, Qiegen Liu, Jiaojiao Xiong, Sanqian Li, Shanshan Wang, Dong Liang
2018 J jnl
Learning Joint-Sparse Codes for Calibration-Free Parallel MR Imaging.
IEEE Trans. Medical Imaging
Shanshan Wang, Sha Tan, Yuan Gao, Qiegen Liu, Leslie Ying, Taohui Xiao, Yuanyuan Liu, Xin Liu, Hairong Zheng, Dong Liang
2017 J jnl
Sparse and dense hybrid representation via subspace modeling for dynamic MRI.
Comput. Medical Imaging Graph.
Qiegen Liu, Shanshan Wang, Dong Liang
2016 — conf
Accelerating magnetic resonance imaging via deep learning.
ISBI
Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, Dong Liang
2016 J jnl
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.
IEEE Trans. Image Process.
Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng
2016 J jnl
Sparse Parallel MRI Based on Accelerated Operator Splitting Schemes.
Comput. Math. Methods Medicine
Nian Cai, Weisi Xie, Zhenghang Su, Shanshan Wang, Dong Liang
2015 J jnl
An iteratively reweighting algorithm for dynamic video summarization.
Multim. Tools Appl.
Pei Dong, Yong Xia, Shanshan Wang, Li Zhuo, David Dagan Feng
2015 — conf
Parallel imaging via sparse representation over a learned dictionary.
ISBI
Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang
2015 — conf
Reference guided CS-MRI with gradient orientation priors.
EMBC
Xi Peng, Qingyong Zhu, Shanshan Wang, Dong Liang
2015 J jnl
Undersampled MR Image Reconstruction with Data-Driven Tight Frame.
Comput. Math. Methods Medicine
Jianbo Liu, Shanshan Wang, Xi Peng, Dong Liang
2014 — —
Study of analytic and trained dictionaries for sparse representation and its applications.
Shanshan Wang
2013 J jnl
Adaptive Dictionary Learning in Sparse Gradient Domain for Image Recovery.
IEEE Trans. Image Process.
Qiegen Liu, Shanshan Wang, Leslie Ying, Xi Peng, Yanjie Zhu, Dong Liang
2013 J jnl
Dictionary learning based impulse noise removal via L1-L1 minimization.
Signal Process.
Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng
2013 J jnl
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images.
IEEE Trans. Image Process.
Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo
2013 J jnl
Highly Undersampled Magnetic Resonance Image Reconstruction Using Two-Level Bregman Method With Dictionary Updating.
IEEE Trans. Medical Imaging
Qiegen Liu, Shanshan Wang, Kun Yang, Jianhua Luo, Yuemin Zhu, Dong Liang
2013 — conf
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints.
EMBC
Shanshan Wang, Yong Xia, Pei Dong, David Dagan Feng, Jianhua Luo, Qiu Huang
2012 J jnl
A novel predual dictionary learning algorithm.
J. Vis. Commun. Image Represent.
Qiegen Liu, Shanshan Wang, Jianhua Luo
2012 J jnl
An augmented Lagrangian approach to general dictionary learning for image denoising.
J. Vis. Commun. Image Represent.
Qiegen Liu, Shanshan Wang, Jianhua Luo, Yuemin Zhu, Meng Ye
2012 J jnl
Gabor feature based nonlocal means filter for textured image denoising.
J. Vis. Commun. Image Represent.
Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng
2011 J jnl
An augmented Lagrangian multi-scale dictionary learning algorithm.
EURASIP J. Adv. Signal Process.
Qiegen Liu, Jianhua Luo, Shanshan Wang, Moyan Xiao, Meng Ye