Qian Wang

发表

Transformers in Medical Image Analysis: A Review

D. Shen, I. Rekik, Yang Gao, 2022, Intelligent Medicine.

A Multi-Organ Nucleus Segmentation Challenge

Hao Chen, Minh-Triet Tran, Alison Q. O'Neil, 2020, IEEE Transactions on Medical Imaging.

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

Dinggang Shen, Ehsan Adeli, Qian Wang, 2019, Scientific Reports.

Automatic lung nodule classification with radiomics approach

Qian Wang, Jingchen Ma, Yacheng Ren, 2016, SPIE Medical Imaging.

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation

Qian Wang, Yiqiang Zhan, Lichi Zhang, 2019, MLMI@MICCAI.

Deformable Image Registration Based on Similarity-Steered CNN Regression

Qian Wang, Xiaohuan Cao, Dong Nie, 2017, MICCAI.

Feature‐based groupwise registration by hierarchical anatomical correspondence detection

Dinggang Shen, Qian Wang, Guorong Wu, 2012, Human brain mapping.

SharpMean: Groupwise registration guided by sharp mean image and tree-based registration

Dinggang Shen, Qian Wang, Guorong Wu, 2011, NeuroImage.

Intermediate templates guided groupwise registration of diffusion tensor images

Dinggang Shen, Qian Wang, Guorong Wu, 2011, NeuroImage.

ABSORB: Atlas building by self-organized registration and bundling

Dinggang Shen, Qian Wang, Guorong Wu, 2010, NeuroImage.

Attribute Vector Guided Groupwise Registration

Dinggang Shen, Qian Wang, Guorong Wu, 2009, MICCAI.

ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Xi Ouyang, Dinggang Shen, Sheng Wang, 2023, ArXiv.

Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning

Dinggang Shen, Qian Wang, Guorong Wu, 2016, IEEE Transactions on Biomedical Engineering.

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

Multi‐atlas based representations for Alzheimer's disease diagnosis

D. Shen, Guorong Wu, Rui Min, 2014, Human brain mapping.

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

Dinggang Shen, Qian Wang, Xiaobo Chen, 2016, MICCAI.

Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors pdf

Dinggang Shen, Qian Wang, Pew-Thian Yap, 2019, MICCAI.

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, MICCAI.

Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray

Qian Wang, Ying Zhou, Yiqiang Zhan, 2019, MICCAI.

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Dinggang Shen, Jun Wang, Jun Shi, 2020, IEEE Reviews in Biomedical Engineering.

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

D. Shen, Han Zhang, Jun Wang, 2019, Scientific Reports.

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2021, MICCAI.

Medical Image Synthesis with Deep Convolutional Adversarial Networks

Dinggang Shen, Su Ruan, Qian Wang, 2018, IEEE Transactions on Biomedical Engineering.

Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM)

W. Yao, Liping Si, Jingyu Zhong, 2021, European Radiology.

The Artificial Intelligence-Enabled Medical Imaging: Today and Its Future.

Q. Wang, Yingxi Shi, Qian Wang, 2019, Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih.

Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering

Qian Wang, Sang Hyun Park, Jun Zhang, 2017, Scientific Reports.

Enhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering

Sang Hyun Park, Weili Lin, D. Shen, 2017, Scientific Reports.

Machine Learning in Medical Imaging

Dinggang Shen, Fei Wang, Pingkun Yan, 2016, Lecture Notes in Computer Science.

Emergence of Groupwise Registration in MR Brain Study

Dinggang Shen, Qian Wang, Guorong Wu, 2012 .

S‐HAMMER: Hierarchical attribute‐guided, symmetric diffeomorphic registration for MR brain images

Dinggang Shen, Qian Wang, Guorong Wu, 2014, Human brain mapping.

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation

Dinggang Shen, Fan Yang, Qian Wang, 2019, IEEE Transactions on Image Processing.

Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

Dinggang Shen, Qian Wang, Islem Rekik, 2018, Brain Imaging and Behavior.

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph

Dinggang Shen, Yiqiang Zhan, Qian Wang, 2019, IEEE Journal of Biomedical and Health Informatics.

Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention

Qian Wang, Lichi Zhang, Dongming Wei, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification

Daoqiang Zhang, Dinggang Shen, Wei Gao, 2014, IEEE Transactions on Biomedical Engineering.

Quantitative susceptibility mapping based hybrid feature extraction for diagnosis of Parkinson's disease

Qian Wang, Feng Shi, Bin Xiao, 2019, NeuroImage: Clinical.

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction

Qi Wang, Zhijie Wen, Shihui Ying, 2023, ArXiv.

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

Yaozong Gao, Qi Yang, Xiaohuan Cao, 2020, IEEE Transactions on Medical Imaging.

Review and Prospect: Artificial Intelligence in Advanced Medical Imaging

D. Shen, G. Cao, Shu Liao, 2021, Frontiers in Radiology.

DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task

Honglin Xiong, Dinggang Shen, Sheng Wang, 2023, ArXiv.

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set

Dinggang Shen, Shihui Ying, Qian Wang, 2014, NeuroImage.

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting

Qian Wang, Mingxia Liu, Yong Chen, 2019, IEEE Transactions on Medical Imaging.

Application of neuroanatomical features to tractography clustering

Dinggang Shen, Qian Wang, Guorong Wu, 2013, Human brain mapping.

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

Zhiming Cui, Zixu Zhuang, Dinggang Shen, 2023, ArXiv.

Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.

Dinggang Shen, Qian Wang, Guorong Wu, 2013, Medical physics.

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution pdf

Dinggang Shen, Yiqiang Zhan, Zhong Xue, 2022, IEEE Transactions on Medical Imaging.

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

Dinggang Shen, Qian Wang, Yu Qiao, 2017, Neurocomputing.

Directed Graph Based Image Registration

Dinggang Shen, Yaping Wang, Qian Wang, 2011, MLMI.

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas

Dinggang Shen, Lei Chen, Luyan Liu, 2018, IEEE Transactions on Medical Imaging.

Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation

Qian Wang, Jun Wang, Zuoyong Li, 2020, IEEE Transactions on Medical Imaging.

Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study

D. Shen, F. Shi, E. Haacke, 2021, Frontiers in Neuroscience.

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images

Dinggang Shen, Qian Wang, Guorong Wu, 2012, MICCAI.

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients

Dinggang Shen, Jin Hu, Qian Wang, 2018, 2018 IEEE International Conference on Big Data and Smart Computing (BigComp).

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image

Dinggang Shen, Xiaofeng Zhu, Qian Wang, 2015, Patch-MI@MICCAI.

Robust Patch-Based Multi-Atlas Labeling by Joint Sparsity Regularization

D. Shen, Guorong Wu, Daoqiang, 2012 .

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution

Dinggang Shen, Qian Wang, Jinpeng Zhang, 2017, Pattern Recognit..

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning

Dinggang Shen, Yue Gao, Qian Wang, 2016, Patch-MI@MICCAI.

A generative probability model of joint label fusion for multi-atlas based brain segmentation

Daoqiang Zhang, Dinggang Shen, Feiping Nie, 2014, Medical Image Anal..

Groupwise registration based on hierarchical image clustering and atlas synthesis

Dinggang Shen, Qian Wang, Guorong Wu, 2010, Human brain mapping.

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype

Qian Wang, Junfeng Lu, Han Zhang, 2019, MICCAI.

Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis

Ziyan Wu, Terrence Chen, Qian Wang, 2020, IEEE Transactions on Medical Imaging.

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection

Ehsan Adeli, Luyan Liu, Dinggang Shen, 2018, Comput. Medical Imaging Graph..

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease

Dinggang Shen, Qian Wang, Ehsan Adeli, 2016, MICCAI.

Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson ’ s Disease

D. Shen, Han Zhang, Q. Wang, 2016 .

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns

Dinggang Shen, Qian Wang, Shitong Wang, 2019, IEEE Transactions on Cybernetics.

Multi‐task diagnosis for autism spectrum disorders using multi‐modality features: A multi‐center study

Dinggang Shen, Qian Wang, Feng Zhao, 2017, Human brain mapping.

SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors

D. Shen, P. Yap, Qian Wang, 2020, Medical Image Anal..

GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images

D. Shen, Zhiming Cui, Xi Ouyang, 2022, IEEE Journal of Biomedical and Health Informatics.

Groupwise registration of brain magnetic resonance images: A review

Qin Liu, Qian Wang, Q. Liu, 2014 .

A cybernetic eye for rare disease Deep learning implemented in a collaborative cloud-based platform empowers ophthalmologists in the diagnosis of congenital cataracts

D. Shen, Qian Wang, Qian Wang, 2017 .

Learning-based structurally-guided construction of resting-state functional correlation tensors.

Dinggang Shen, Lichi Zhang, Qian Wang, 2017, Magnetic resonance imaging.

Computerized detection of lung nodules through radiomics

Qian Wang, Junfeng Xiong, Jun Zhao, 2017, Medical physics.

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation

Shuai Wang, Qian Wang, Dong Nie, 2020, IEEE Transactions on Medical Imaging.

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

Zhiming Cui, Zixu Zhuang, Dinggang Shen, 2023, ArXiv.

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection

Jie-Zhi Cheng, Xi Ouyang, Bin Xiao, 2022, Medical Image Anal..

Fiber Modeling and Clustering Based on Neuroanatomical Features

Dinggang Shen, Qian Wang, Guorong Wu, 2011, MICCAI.

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features

Dinggang Shen, Qian Wang, Guorong Wu, 2010, MIAR.

A machine learning approach for magnetic resonance image–based mouse brain modeling and fast computation in controlled cortical impact

Qian Wang, Tianyao Wang, Yiping Du, 2020, Medical and Biological Engineering and Computing.

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition

Dinggang Shen, Shihui Ying, Han Zhang, 2021, Medical Image Anal..

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images

Gang Li, D. Shen, P. Yap, 2021, IEEE Transactions on Medical Imaging.

Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection.

Dinggang Shen, Qian Wang, Qianjin Feng, 2015, Medical physics.

Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition

Xiang Sean Zhou, Zhong Xue, Jian Yang, 2021, PRIME@MICCAI.

Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.

Dinggang Shen, Qian Wang, Huan Zhang, 2018, Medical physics.

Learning Better Contrastive View from Radiologist's Gaze

Tianming Liu, Zixu Zhuang, Xi Ouyang, 2023, ArXiv.

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning

Xi Jiang, Tianming Liu, Dajiang Zhu, 2022, IEEE transactions on medical imaging.

Stability of AI-Enabled Diagnosis of Parkinson’s Disease: A Study Targeting Substantia Nigra in Quantitative Susceptibility Mapping Imaging

D. Shen, F. Shi, E. Haacke, 2021, Frontiers in Neuroscience.

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image

Jinman Kim, Lei Bi, Yuyu Guo, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images

Yaozong Gao, Dinggang Shen, Xin Yang, 2015, Medical Image Anal..

Unpaired Deep Cross-Modality Synthesis with Fast Training

Dinggang Shen, Yang Li, Qian Wang, 2018, DLMIA/ML-CDS@MICCAI.

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning

Xiang Zhou, Yiqiang Zhan, Qian Wang, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency pdf

Qian Wang, Zhong Xue, Lichi Zhang, 2020, ArXiv.

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency

Qian Wang, Zhong Xue, Lichi Zhang, 2020, PRIME@MICCAI.

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis

Yaozong Gao, Qian Wang, Jianhua Yang, 2018, IEEE Transactions on Image Processing.

Multi-Modal MRI Reconstruction with Spatial Alignment Network pdf

Shu Liao, Dinggang Shen, Lichi Zhang, 2021, ArXiv.

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks

Han Zhang, F. Shi, Yao Wang, 2023, ArXiv.

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency

Dahong Qian, W. Yao, Liping Si, 2022, Medical Image Anal..

Multi-atlas Context Forests for Knee MR Image Segmentation

Yaozong Gao, Dinggang Shen, Qian Wang, 2015, MLMI.

Improved image registration by sparse patch-based deformation estimation

Dinggang Shen, Qian Wang, Guorong Wu, 2015, NeuroImage.

An Auto-Context Deformable Registration Network for Infant Brain MRI

D. Shen, P. Yap, Sahar Ahmad, 2020, ArXiv.

Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration

Qian Wang, Xiaohuan Cao, Dinggang Shen, 2019, MLMI@MICCAI.

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI

Dinggang Shen, Yiqiang Zhan, Wenjun Shen, 2021, MLMI@MICCAI.

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity

Dinggang Shen, Qian Wang, Xiaohuan Cao, 2018, MLMI@MICCAI.

Deformable Image Registration Using a Cue-Aware Deep Regression Network

Dinggang Shen, Qian Wang, Jun Zhang, 2018, IEEE Transactions on Biomedical Engineering.

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis

Dinggang Shen, Shitong Wang, Qian Wang, 2017, MLMI@MICCAI.

Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder

Zhen Wang, Dinggang Shen, Qian Wang, 2016, IDEAL.

Automatic labeling of MR brain images by hierarchical learning of atlas forests.

Yaozong Gao, Dinggang Shen, Qian Wang, 2016, Medical physics.

Deep embedding convolutional neural network for synthesizing CT image from T1‐Weighted MR image

Qian Wang, Yu Qiao, Dong Nie, 2018, Medical Image Anal..

Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis

D. Shen, Li Wang, Fuhua Yan, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Automatic and reliable segmentation of spinal canals in low-resolution, low-contrast CT images

Dinggang Shen, Le Lu, Dijia Wu, 2014 .

Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction

Qi Wang, Zhijie Wen, Shihui Ying, 2023, ArXiv.

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information

Dinggang Shen, Yong Chen, Qian Wang, 2018, MICCAI.

Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction

Shu Liao, Shuo Chen, Dinggang Shen, 2020, MLMIR@MICCAI.

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images

D. Shen, Guorong Wu, Yaozong Gao, 2017, Neurocomputing.

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images

Yaozong Gao, Dinggang Shen, Qian Wang, 2014, MLMI.

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting

Yong Chen, Weili Lin, D. Shen, 2019, IEEE Transactions on Medical Imaging.

Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip

Guoyan Zheng, Qian Wang, Moritz Tannast, 2018, MLMI@MICCAI.

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images

Yaozong Gao, Yanbo Chen, Lichi Zhang, 2020, TIA@MICCAI.

Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning

Xi Jiang, Tianming Liu, Dajiang Zhu, 2022, IEEE Transactions on Medical Imaging.

Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image

Lei Xiang, Dong Nie, Qian Wang, 2017, ArXiv.

Attribute vector guided groupwise registration

P. Yap, Guorong Wu, Qian Wang, 2010, NeuroImage.

Author ' s personal copy Attribute vector guided groupwise registration

D. Shen, P. Yap, Guorong Wu, 2010 .

Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks

D. Shen, I. Rekik, Han Zhang, 2018, Brain Imaging and Behavior.

Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction

Qian Wang, Dinggang Shen, Kaicong Sun, 2023, IEEE Transactions on Medical Imaging.

Lung field segmentation using weighted sparse shape composition with robust initialization

Qian Wang, Junfeng Xiong, Yeqin Shao, 2017, Medical physics.

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network

Han Zhang, Han Zhang, Z. Jiao, 2022, Medical Image Anal..

Reducing magnetic resonance image spacing by learning without ground-truth

Dinggang Shen, Lichi Zhang, Zhong Xue, 2020, Pattern Recognit..

Reduce slice spacing of MR images by super-resolution learned without ground-truth

Dijia Wu, Zhong Xue, Lichi Zhang, 2020 .

Registration of longitudinal brain image sequences with implicit template and spatial–temporal heuristics

D. Shen, Guorong Wu, Qian Wang, 2012, NeuroImage.

Directed Graph Based Image Registration

Guorong Wu, H. Jia, Minjeong Kim, 2011, MLMI.

Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method

Qian Wang, Örjan Smedby, Chunliang Wang, 2016, RAMBO+HVSMR@MICCAI.

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images pdf

Dinggang Shen, Qian Wang, Xiaohuan Cao, 2019, Pattern Recognit..

Groupwise registration based on hierarchical image clustering and atlas synthesis

D. Shen, P. Yap, Guorong Wu, 2010, Human brain mapping.

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement

Qian Wang, Shaohua Kevin Zhou, Dijia Wu, 2015, IEEE Transactions on Medical Imaging.