Qian Wang
Orcid: 0000-0002-3490-3836Affiliations:
- Shanghai Jiao Tong University, Med-X Research Institute, School of Biomedical Engineering, China
- University of North Carolina at Chapel Hill, NC, USA (former)
According to our database1,
Qian Wang
authored at least 172 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024
Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Unsupervised Landmark Detection-Based Spatiotemporal Motion Estimation for 4-D Dynamic Medical Images.
IEEE Trans. Cybern., June, 2023
IEEE Trans. Medical Imaging, February, 2023
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection.
Medical Image Anal., 2023
CoRR, 2023
CoRR, 2023
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.
CoRR, 2023
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2022
Semantic instance segmentation with discriminative deep supervision for medical images.
Medical Image Anal., 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical Image Anal., 2022
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Medical Image Anal., 2022
Scale-free dynamics of microstate sequence in negative schizophrenia and depressive disorder.
Comput. Biol. Medicine, 2022
Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics.
BMC Bioinform., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
2021
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis.
IEEE Trans. Medical Imaging, 2021
Pattern Recognit., 2021
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography.
Comput. Medical Imaging Graph., 2021
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans.
Comput. Medical Imaging Graph., 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
2020
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation.
IEEE Trans. Medical Imaging, 2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Image Process., 2020
IEEE Trans. Biomed. Eng., 2020
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors.
Medical Image Anal., 2020
CoRR, 2020
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency.
CoRR, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
mr<sup>2</sup>NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybern., 2019
IEEE Trans. Biomed. Eng., 2019
Medical Image Anal., 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
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks.
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
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Bioinformatics and Biomedical Engineering, 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. Medical Imaging, 2018
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis.
IEEE Trans. Image Process., 2018
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Anal., 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.
Comput. Medical Imaging Graph., 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
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
Proceedings of the ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018, 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. Eng., 2017
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 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
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
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
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. Eng., 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
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. Medical Imaging, 2015
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015
NeuroImage, 2015
Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal., 2015
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Medical Image Anal., 2015
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
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
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. Eng., 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 Anal., 2014
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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
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
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
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
2009
Group-wise registration of large image dataset by hierarchical clustering and alignment.
Proceedings of the Medical Imaging 2009: Image Processing, 2009