Qian Wang

According to our database1, Qian Wang authored at least 80 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Machine Learning in Medical Imaging.
IEEE J. Biomedical and Health Informatics, 2019

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomedical and Health Informatics, 2019

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybernetics, 2019

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.
IEEE Trans. Biomed. Engineering, 2019

Immunomics Datasets and Tools: To Identify Potential Epitope Segments for Designing Chimeric Vaccine Candidate to Cervix Papilloma.
Data, 2019

Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis.
CoRR, 2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
CoRR, 2019

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation.
CoRR, 2019

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression.
IEEE Access, 2019

Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.
IEEE Trans. Med. Imaging, 2018

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis.
IEEE Trans. Image Processing, 2018

Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Engineering, 2018

Deformable Image Registration Using a Cue-Aware Deep Regression Network.
IEEE Trans. Biomed. Engineering, 2018

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Analysis, 2018

Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Comp. Med. Imag. and Graph., 2018

Malignant Brain Tumor Classification Using the Random Forest Method.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Unpaired Deep Cross-Modality Synthesis with Fast Training.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
IEEE Trans. Biomed. Engineering, 2017

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognition, 2017

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.
Neurocomputing, 2017

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017

Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image.
CoRR, 2017

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deformable Image Registration Based on Similarity-Steered CNN Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Engineering, 2016

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Cross-Manifold Guidance in Deformable Registration of Brain MR Images.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Med. Imaging, 2015

Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015

Improved image registration by sparse patch-based deformation estimation.
NeuroImage, 2015

Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Analysis, 2015

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Medical Image Analysis, 2015

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Dual-Layer ℓ1-Graph Embedding for Semi-supervised Image Labeling.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Multi-atlas Context Forests for Knee MR Image Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Engineering, 2014

Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set.
NeuroImage, 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Analysis, 2014

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2013

Groupwise Registration via Graph Shrinkage on the Image Manifold.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics.
NeuroImage, 2012

Directed graph based image registration.
Comp. Med. Imag. and Graph., 2012

Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration.
NeuroImage, 2011

Intermediate templates guided groupwise registration of diffusion tensor images.
NeuroImage, 2011

Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Diffusion Tensor Image Registration with Combined Tract and Tensor Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fiber Modeling and Clustering Based on Neuroanatomical Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Directed Graph Based Image Registration.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

iTree: Fast and accurate image registration based on the combinative and incremental tree.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Attribute vector guided groupwise registration.
NeuroImage, 2010

ABSORB: Atlas building by self-organized registration and bundling.
NeuroImage, 2010

Groupwise Registration by Hierarchical Anatomical Correspondence Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Groupwise Registration with Sharp Mean.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

ABSORB: Atlas building by Self-Organized Registration and Bundling.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Group-wise registration of large image dataset by hierarchical clustering and alignment.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Attribute Vector Guided Groupwise Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009


  Loading...