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C. Liu, C. Liu, L. Si, H. Shen, Q. Wang, and W. Yao
Journal of Magnetic Resonance Imaging, vol. 48, no. 3, pp. 669–679, 2018
Deformable Image Registration Using a Cue-Aware Deep Regression Network
X. Cao, J. Yang, J. Zhang, Q. Wang, P.-T. Yap, and D. Shen
IEEE Transactions on Biomedical Engineering, vol. 65, no. 9, pp. 1900–1911, 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
L. Chen, H. Zhang, J. Lu, K. Thung, A. Aibaidula, L. Liu, S. Chen, L. Jin, J. Wu, Q. Wang, L. Zhou, and D. Shen
IEEE Transactions on Medical Imaging, vol. 37, no. 8, pp. 1775–1787, 2018
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image
L. Xiang, Q. Wang, D. Nie, L. Zhang, X. Jin, Y. Qiao, and D. Shen
Medical Image Analysis, vol. 47, pp. 31–44, 2018
Exploring Diagnosis and Imaging Biomarkers of Parkinson’s Disease via Iterative Canonical Correlation Analysis Based Feature Selection
L. Liu, Q. Wang, E. Adeli, L. Zhang, H. Zhang, and D. Shen
Computerized Medical Imaging and Graphics, vol. 67, pp. 21–29, 2018
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis
X. Cao, J. Yang, Y. Gao, Q. Wang, and D. Shen
IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3500–3512, 2018
Interleaved 3D-CNNs for Joint Segmentation of Small-Volume Structures in Head and Neck CT Images
X. Ren, L. Xiang, D. Nie, Y. Shao, H. Zhang, D. Shen, and Q. Wang
Medical Physics, vol. 45, no. 5, pp. 2063–2075, 2018
CLARITY for High-Resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain
L.-Y. Zhang, P. Lin, J. Pan, Y. Ma, Z. Wei, J. Lu, L. Wang, Y. Song, Y. Wang, Z. Zhang, K. Jin, Q. Wang, and G.-Y. Yang
Aging and disease, vol. 9, no. 2, pp. 262–272, 2018
Metabolic Fingerprinting on a Plasmonic Gold Chip for Mass Spectrometry Based in Vitro Diagnostics
X. Sun, L. Huang, R. Zhang, W. Xu, J. Huang, D. D. Gurav, V. Vedarethinam, R. Chen, J. Lou, Q. Wang, J. Wan, and K. Qian
ACS Central Science, vol. 4, no. 2, pp. 223–229, 2018
Deep Auto-Context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI
L. Xiang, Y. Qiao, D. Nie, L. An, W. Lin, Q. Wang, and D. Shen
Neurocomputing, vol. 267, pp. 406–416, 2017
Quantitative Evaluation of Subchondral Bone Microarchitecture in Knee Osteoarthritis Using 3T MRI
C. Liu, C. Liu, X. Ren, L. Si, H. Shen, Q. Wang, and W. Yao
BMC Musculoskeletal Disorders, vol. 18, no. 1, pp. 496, 2017
Learning-Based Structurally-Guided Construction of Resting-State Functional Correlation Tensors
L. Zhang, H. Zhang, X. Chen, Q. Wang, P.-T. Yap, and D. Shen
Magnetic Resonance Imaging, vol. 43, pp. 110–121, 2017
Lung Field Segmentation Using Weighted Sparse Shape Composition with Robust Initialization
J. Xiong, Y. Shao, J. Ma, Y. Ren, Q. Wang, and J. Zhao
Medical Physics, vol. 44, no. 11, pp. 5916–5929, 2017
Enhancement of Perivascular Spaces in 7T MR Image Using Haar Transform of Non-Local Cubes and Block-Matching Filtering
Y. Hou, S. H. Park, Q. Wang, J. Zhang, X. Zong, W. Lin, and D. Shen
Scientific Reports, vol. 7, no. 1, pp. 1–12, 2017
Computerized Detection of Lung Nodules through Radiomics
J. Ma, Z. Zhou, Y. Ren, J. Xiong, L. Fu, Q. Wang, and J. Zhao
Medical Physics, vol. 44, no. 8, pp. 4148–4158, 2017
Multi-Task Diagnosis for Autism Spectrum Disorders Using Multi-Modality Features: A Multi-Center Study
J. Wang, Q. Wang, J. Peng, D. Nie, F. Zhao, M. Kim, H. Zhang, C.-Y. Wee, S. Wang, and D. Shen
Human Brain Mapping, vol. 38, no. 6, pp. 3081–3097, 2017
Diffusion Tensor Imaging Assesses White Matter Injury in Neonates with Hypoxic-Ischemic Encephalopathy
H.-X. Li, X. Feng, Q. Wang, X. Dong, M. Yu, and W.-J. Tu
Neural Regeneration Research, vol. 12, no. 4, pp. 603–609, 2017
Concatenated Spatially-Localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images
L. Zhang, Q. Wang, Y. Gao, H. Li, G. Wu, and D. Shen
Neurocomputing, vol. 229, pp. 3–12, 2017
Brain Atlas Fusion from High-Thickness Diagnostic Magnetic Resonance Images by Learning-Based Super-Resolution
J. Zhang, L. Zhang, L. Xiang, Y. Shao, G. Wu, X. Zhou, D. Shen, and Q. Wang
Pattern Recognition, vol. 63, pp. 531–541, 2017
Computational Medicine: A Cybernetic Eye for Rare Disease
Q. Wang and D. Shen
Nature Biomedical Engineering, vol. 1, no. 2, pp. 1–2, 2017
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning
G. Wu, M. Kim, Q. Wang, B. C. Munsell, and D. Shen
IEEE Transactions on Biomedical Engineering, vol. 63, no. 7, pp. 1505–1516, 2016
Dopamine Receptor D2 and Catechol-O-Methyltransferase Gene Polymorphisms Associated with Anorexia Nervosa in Chinese Han Population: DRD2 and COMT Gene Polymorphisms Were Associated with an
S. Peng, S. Yu, Q. Wang, Q. Kang, Y. Zhang, R. Zhang, W. Jiang, Y. Qian, H. Zhang, M. Zhang, Z. Xiao, and J. Chen
Neuroscience Letters, vol. 616, pp. 147–151, 2016
Automatic Labeling of MR Brain Images by Hierarchical Learning of Atlas Forests
L. Zhang, Q. Wang, Y. Gao, G. Wu, and D. Shen
Medical Physics, vol. 43, no. 3, pp. 1175–1186, 2016
eHUGS: Enhanced Hierarchical Unbiased Graph Shrinkage for Efficient Groupwise Registration
G. Wu, X. Peng, S. Ying, Q. Wang, P.-T. Yap, D. Shen, and D. Shen
PLOS ONE, vol. 11, no. 1, pp. e0146870, 2016
Association of Abnormal White Matter Integrity in the Acute Phase of Motor Vehicle Accidents with Post-Traumatic Stress Disorder
H. Hu, Y. Zhou, Q. Wang, S. Su, Y. Qiu, J. Ge, Z. Wang, and Z. Xiao
Journal of Affective Disorders, vol. 190, pp. 714–722, 2016
Locally-Constrained Boundary Regression for Segmentation of Prostate and Rectum in the Planning CT Images
Y. Shao, Y. Gao, Q. Wang, X. Yang, and D. Shen
Medical Image Analysis, vol. 26, no. 1, pp. 345–356, 2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement
Q. Wang, L. Lu, D. Wu, N. El-Zehiry, Y. Zheng, D. Shen, and K. S. Zhou
IEEE Transactions on Medical Imaging, vol. 34, no. 8, pp. 1694–1704, 2015
Hierarchical and Symmetric Infant Image Registration by Robust Longitudinal-Example-Guided Correspondence Detection
Y. Wu, G. Wu, L. Wang, B. C. Munsell, Q. Wang, W. Lin, Q. Feng, W. Chen, and D. Shen
Medical Physics, vol. 42, no. 7, pp. 4174–4189, 2015
Hierarchical Multi-Atlas Label Fusion with Multi-Scale Feature Representation and Label-Specific Patch Partition
G. Wu, M. Kim, G. Sanroma, Q. Wang, B. C. Munsell, and D. Shen
NeuroImage, vol. 106, pp. 34–46, 2015
Predict Brain MR Image Registration via Sparse Learning of Appearance and Transformation
Q. Wang, M. Kim, Y. Shi, G. Wu, and D. Shen
Medical Image Analysis, vol. 20, no. 1, pp. 61–75, 2015
Improved Image Registration by Sparse Patch-Based Deformation Estimation
M. Kim, G. Wu, Q. Wang, S.-W. Lee, and D. Shen
NeuroImage, vol. 105, pp. 257–268, 2015
Groupwise Registration of Brain Magnetic Resonance Images: A Review
Q. Liu and Q. Wang
Journal of Shanghai Jiaotong University (Science), vol. 19, no. 6, pp. 755–762, 2014
Multi-Atlas Based Representations for Alzheimer’s Disease Diagnosis
R. Min, G. Wu, J. Cheng, Q. Wang, and D. Shen
Human Brain Mapping, vol. 35, no. 10, pp. 5052–5070, 2014
A Generative Probability Model of Joint Label Fusion for Multi-Atlas Based Brain Segmentation
G. Wu, Q. Wang, D. Zhang, F. Nie, H. Huang, and D. Shen
Medical Image Analysis, vol. 18, no. 6, pp. 881–890, 2014
Diffusion Tensor Image Registration Using Hybrid Connectivity and Tensor Features
Q. Wang, P.-T. Yap, G. Wu, and D. Shen
Human Brain Mapping, vol. 35, no. 7, pp. 3529–3546, 2014
S-HAMMER: Hierarchical Attribute-Guided, Symmetric Diffeomorphic Registration for MR Brain Images
G. Wu, M. Kim, Q. Wang, and D. Shen
Human Brain Mapping, vol. 35, no. 3, pp. 1044–1060, 2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification
B. Jie, D. Zhang, W. Gao, Q. Wang, C.-Y. Wee, and D. Shen
IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 576–589, 2014
Hierarchical Unbiased Graph Shrinkage (hugs): A Novel Groupwise Registration for Large Data Set
S. Ying, G. Wu, Q. Wang, and D. Shen
NeuroImage, vol. 84, pp. 626–638, 2014
Application of Neuroanatomical Features to Tractography Clustering
Q. Wang, P.-T. Yap, G. Wu, and D. Shen
Human Brain Mapping, vol. 34, no. 9, pp. 2089–2102, 2013
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Super-Resolution Image Reconstruction
G. Wu, Q. Wang, J. Lian, and D. Shen
Medical Physics, vol. 40, no. 3, pp. 031710, 2013
Directed Graph Based Image Registration
H. Jia, G. Wu, Q. Wang, Y. Wang, M. Kim, and D. Shen
Computerized Medical Imaging and Graphics, vol. 36, no. 2, pp. 139–151, 2012
Feature-Based Groupwise Registration by Hierarchical Anatomical Correspondence Detection
G. Wu, Q. Wang, H. Jia, and D. Shen
Human Brain Mapping, vol. 33, no. 2, pp. 253–271, 2012
Registration of Longitudinal Brain Image Sequences with Implicit Template and Spatial–Temporal Heuristics
G. Wu, Q. Wang, and D. Shen
NeuroImage, vol. 59, no. 1, pp. 404–421, 2012
SharpMean: Groupwise Registration Guided by Sharp Mean Image and Tree-Based Registration
G. Wu, H. Jia, Q. Wang, and D. Shen
NeuroImage, vol. 56, no. 4, pp. 1968–1981, 2011
Intermediate Templates Guided Groupwise Registration of Diffusion Tensor Images
H. Jia, P.-T. Yap, G. Wu, Q. Wang, and D. Shen
NeuroImage, vol. 54, no. 2, pp. 928–939, 2011
Groupwise Registration Based on Hierarchical Image Clustering and Atlas Synthesis
Q. Wang, L. Chen, P.-T. Yap, G. Wu, and D. Shen
Human Brain Mapping, vol. 31, no. 8, pp. 1128–1140, 2010
ABSORB: Atlas Building by Self-Organized Registration and Bundling
H. Jia, G. Wu, Q. Wang, and D. Shen
NeuroImage, vol. 51, no. 3, pp. 1057–1070, 2010
Attribute Vector Guided Groupwise Registration
Q. Wang, G. Wu, P.-T. Yap, and D. Shen
NeuroImage, vol. 50, no. 4, pp. 1485–1496, 2010
TracerAD: Training-Free Few-Shot 3D Anomaly Detection for Novel PET Tracers
H. Huang, J. Wu, J. Lu, Z. Shen, X. Wang, C. Zuo, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
PETFlux: Taming Natural Foundation Models for Accurate MRI-to-PET Synthesis
Y. Yin, H. Xiong, H. Huang, Y. Li, Y. Kong, Y. Zhu, Z. Jiang, K. Sun, D. Shen, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
Diagnosing 3D Volumes from Camera Video: A Semantic-Robust Framework without Direct DICOM Access
J. Wu, H. Huang, J. Li, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
Restoring Volumetric Consistency for Slice-Wise MRI Synthesis via Spatial Aware Rectified Flow Matching
Y. Chen, H. Xiong, F. Shi, J. Shi, D. Shen, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
EvoMed: Self-Evolving Medical VLM via Training-Free Continued Learning
J. Li, H. Xiong, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
CerviThink: A Reinforced Visual Reasoning Framework for Cervical Cancer Cell Classification
M. Fei, H. Jiang, Z. Yi, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
MedTriFlow: Efficient Resolution-Agnostic 3D Medical Image Generation with Implicit Triplane Representation
C. Xu, Y. Dou, T. Luo, Q. Wang, and Z. Cui
Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, Strasbourg, France, 2026
Beyond Sequential Tools: A Unified VLM Agent System for Photographic Post-Processing via Dynamic Multi-Expert Fusion
H. Xiong, C. Zhu, J. Ding, Z. Ni, W. Li, Z. Mi, and Q. Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, CO, USA, 2026
Benchmarking Detectors for the RIVA Cervical Cytology Challenge
H. Jiang, M. Xu, M. Fei, Z. Liu, L. Zhang, and Q. Wang
IEEE International Symposium on Biomedical Imaging (ISBI), London, United Kingdom, 2026
Multi-Tracer Uptake Correction for PET-MR via Aligned-Feature Guidance and Multi-Scale Pixel-Adaptive Routing
A. Zhong, H. Huang, J. Wang, Z. Shen, H. Song, J. Wu, Y. Zhu, Y. Liu, C. Zuo, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
Multi-Task Screening for Cervical Diseases via Feature Routing and Asymmetric Distillation
H. Jiang, H. Huang, J. Cai, Z. Shen, M. Xu, M. Fei, X. Wang, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
Y. Zhu, Y. Yin, J. Li, M. Xu, Z. Zhao, H. Xiong, S. Wang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
ResMAP: Restoring MRIs of Mixed Artifacts by Prompt Cascading Retrieval
Y. Tang, F. Li, F. Shi, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
UniSyn: A Unified Text-Guided Model for Cross-Modality Synthesis of MRI, Ct, and PET
Y. Wang, H. Xiong, K. Sun, J. Liu, X. Lin, Z. Chen, Y. He, Q. Wang, and D. Shen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
Query-Level Alignment for Lesion Detection with Human Gaze
Y. Kong, Z. Peng, Y. Yin, Y. Li, J. Cai, S. Wang, Q. Wang, Y. Fang, and C. Shan
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
Weakly Semi-Supervised Cervical Lesion Cell Detection via Twin-Memory Augmented Multiple Instance Learning
M. Fei, Z. Song, Z. Shen, M. Liu, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
Refining Cervical Cell Classification with Cytological Knowledge and Optimal Attribute Descriptor Matching
M. Fei, Z. Shen, M. Liu, Z. Song, Y. Sun, X. Han, Z. Liu, H. Jiang, L. Bai, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Daejeon, South Korea, 2025
MITracker: Multi-View Integration for Visual Object Tracking
M. Xu, Y. Zhu, H. Jiang, J. Li, Z. Shen, S. Wang, H. Huang, X. Wang, H. Zhang, Q. Yang, and Q. Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Taming Masked Image Modeling for Chest X-Ray Diagnosis by Incorporating Clinical Visual Priors
Z. Zhao, M. Wang, Z. Cui, S. Wang, Q. Zhou, L. Fan, Q. Wang, and D. Shen
Information Processing in Medical Imaging (IPMI), Kos Island, Greece, 2025
Longitudinal Image Synthesis for Early Brain Development with Age Awareness
Y. Fang, H. Xiong, J. Huang, X. Wang, Z. Shen, F. Liu, X. Cai, H. Zhang, and Q. Wang
International Symposium on Biomedical Imaging (ISBI), Houston, United States, 2025
Ensemble of Foundation Models for Pap Smear Cell Analysis
H. Jiang, J. Cai, M. Xu, Y. Fang, L. Zhang, and Q. Wang
International Symposium on Biomedical Imaging (ISBI), Houston, United States, 2025 — Winner of PS3C Challenge
DCIM-AVSR: Efficient Audio-Visual Speech Recognition via Dual Conformer Interaction Module
X. Wang, H. Jiang, H. Huang, Y. Fang, M. Xu, and Q. Wang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
Y. Zhu, S. Wang, M. Xu, Z. Zhuang, Z. Wang, K. Wang, H. Zhang, and Q. Wang
The 39th Annual AAAI Conference on Artificial Intelligence, 2025
Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis
H. Xiong, Y. Fang, K. Sun, Y. Wang, X. Zong, W. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024
MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
F. Li, Z. Zhou, Y. Fang, J. Cai, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024
MetaAD: Metabolism-Aware Anomaly Detection for Parkinson's Disease in 3D 18F-FDG PET
H. Huang, Z. Shen, J. Wang, X. Wang, J. Lu, H. Lin, J. Ge, C. Zuo, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024 — Winner of MICCAI Young Scientist Award (YSA)
Affinity Learning Based Brain Function Representation for Disease Diagnosis
M. Liu, Z. Song, D. Chen, X. Wang, Z. Zhuang, M. Fei, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
Y. Kong, S. Wang, J. Cai, Z. Zhao, Z. Shen, Y. Li, M. Fei, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024
Self-Supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis
D. Chen, L. Yao, M. Liu, Z. Shen, Y. Hu, Z. Song, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Marrakesh, Morocco, 2024
Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning
X. Wang, Z. Song, Y. Zhu, S. Wang, L. Zhang, D. Shen, and Q. Wang
IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024
MeLo: Low-Rank Adaptation Is Better Than Fine-Tuning for Medical Image Diagnosis
Y. Zhu, Z. Shen, Z. Zhao, S. Wang, X. Wang, X. Zhao, D. Shen, and Q. Wang
IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024
Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy
L. Chen, L. Yao, Q. Wang, and Z. Xue
IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
Z. Zhao, S. Wang, Q. Wang, and D. Shen
AAAI Conference on Artificial Intelligence, Vancouver, British Columbia, 2024
Crafting Good Views of Medical Images for Contrastive Learning via Expert-Level Visual Attention
S. Wang, Z. Zhao, L. Zhang, D. Shen, and Q. Wang
The 2nd Gaze Meets ML Workshop, New Orleans, Louisiana, 2024
Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
J. Cai, H. Xiong, M. Cao, L. Liu, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images
M. Cao, M. Fei, J. Cai, L. Liu, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement
M. Fei, X. Zhang, M. Cao, Z. Shen, X. Zhao, Z. Song, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
Z. Shen, M. Cao, S. Wang, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
Alias-Free Co-Modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images
Z. Song, X. Wang, X. Zhao, S. Wang, Z. Shen, Z. Zhuang, M. Liu, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees
Z. Zhuang, X. Wang, S. Wang, Z. Shen, X. Zhao, M. Liu, Z. Xue, D. Shen, L. Zhang, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification
X. Zhao, Z. Shen, D. Chen, S. Wang, Z. Zhuang, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
D. Chen, M. Liu, Z. Shen, X. Zhao, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Vancouver, British Columbia, 2023
Arbitrary Reduction of MRI Inter-Slice Spacing Using Hierarchical Feature Conditional Diffusion
X. Wang, Z. Shen, Z. Song, S. Wang, M. Liu, L. Zhang, K. Xuan, and Q. Wang
Machine Learning in Medical Imaging, Vancouver, British Columbia, 2023
Local Graph Fusion of Multi-View MR Images for Knee Osteoarthritis Diagnosis
Z. Zhuang, S. Wang, L. Si, K. Xuan, Z. Xue, D. Shen, L. Zhang, W. Yao, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Singapore, 2022
Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning
X. Zhang, M. Cao, S. Wang, J. Sun, X. Fan, Q. Wang, and L. Zhang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Singapore, 2022
Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening
M. Cao, X. Zhang, X. Fan, L. Zhang, and Q. Wang
Cancer Prevention Through Early Detection, 2022
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph
L. Yao, Z. Xue, Y. Zhan, L. Chen, Y. Chen, B. Song, Q. Wang, F. Shi, and D. Shen
Machine Learning in Medical Imaging, 2022
TaG-Net: Topology-Aware Graph Network for Vessel Labeling
L. Yao, Z. Xue, Y. Zhan, L. Chen, Y. Chen, B. Song, Q. Wang, F. Shi, and D. Shen
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Nodule Synthesis and Selection for Augmenting Chest X-Ray Nodule Detection
Z. Shen, X. Ouyang, Z. Wang, Y. Zhan, Z. Xue, Q. Wang, J.-Z. Cheng, and D. Shen
Pattern Recognition and Computer Vision, Beijing, China, 2021
Self-Adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
X. Ouyang, J. Che, Q. Chen, Z. Li, Y. Zhan, Z. Xue, Q. Wang, J.-Z. Cheng, and D. Shen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Strasbourg, France, 2021
Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance
Y. Qiao, H. Tao, J. Huo, W. Shen, Q. Wang, and L. Zhang
Machine Learning in Clinical Neuroimaging, Strasbourg, France, 2021
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment
S. Wang, Z. Zhuang, K. Xuan, D. Qian, Z. Xue, J. Xu, Y. Liu, Y. Chai, L. Zhang, Q. Wang, and D. Shen
Machine Learning in Medical Imaging, Strasbourg, France, 2021
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI
W. Shen, L. Chen, D. Wei, Y. Qiao, Y. Zhan, D. Shen, and Q. Wang
Machine Learning in Medical Imaging, Strasbourg, France, 2021
Self-Guided Multi-Attention Network for Periventricular Leukomalacia Recognition
Z. Wang, T. Huang, B. Xiao, J. Huo, S. Wang, H. Jiang, H. Liu, F. Wu, X. Zhou, Z. Xue, J. Yang, and Q. Wang
Predictive Intelligence in Medicine, Strasbourg, France, 2021
False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-Supervised Learning
X. Du, J. Huo, Y. Qiao, Q. Wang, and L. Zhang
Predictive Intelligence in Medicine, Strasbourg, France, 2021
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-Task Roi Head
H. Tao, Y. Qiao, L. Zhang, Y. Zhan, Z. Xue, and Q. Wang
Predictive Intelligence in Medicine, Strasbourg, France, 2021
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning
K. Xuan, S. Sun, Z. Xue, Q. Wang, and S. Liao
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Lima, Peru, 2020
Semantic Hierarchy Guided Registration Networks for Intra-Subject Pulmonary CT Image Alignment
L. Chen, X. Cao, L. Chen, Y. Gao, D. Shen, Q. Wang, and Z. Xue
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Lima, Peru, 2020
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening
M. Zhou, L. Zhang, X. Du, X. Ouyang, X. Zhang, Q. Shen, and Q. Wang
Machine Learning in Medical Imaging, Lima, Peru, 2020
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling
L. Yao, P. Jiang, Z. Xue, Y. Zhan, D. Wu, L. Zhang, Q. Wang, F. Shi, and D. Shen
Machine Learning in Medical Imaging, Lima, Peru, 2020
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer
B. Xiao, N. He, Q. Wang, Z. Xue, L. Chen, F. Yan, F. Shi, and D. Shen
Machine Learning in Medical Imaging, Lima, Peru, 2020
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography
S. Wang, J. Huo, X. Ouyang, J. Che, Z. Xue, D. Shen, Q. Wang, and J.-Z. Cheng
Predictive Intelligence in Medicine, Lima, Peru, 2020
A Self-Ensembling Framework for Semi-Supervised Knee Cartilage Defects Assessment with Dual-Consistency
J. Huo, L. Si, X. Ouyang, K. Xuan, W. Yao, Z. Xue, Q. Wang, D. Shen, and L. Zhang
Predictive Intelligence in Medicine, Lima, Peru, 2020
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images
T. Li, Z. Wang, Y. Chen, L. Zhang, Y. Gao, F. Shi, D. Qian, Q. Wang, and D. Shen
Thoracic Image Analysis, Lima, Peru, 2020
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction
S. Chen, S. Sun, X. Huang, D. Shen, Q. Wang, and S. Liao
Machine Learning for Medical Image Reconstruction, Lima, Peru, 2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Y. Guo, L. Bi, E. Ahn, D. Feng, Q. Wang, and J. Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
X. Ren, J. Huo, K. Xuan, D. Wei, L. Zhang, and Q. Wang
IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
Can Radiomics Features Boost the Performance of Deep Learning upon Histology Images?
M. H. Obiols, Y. Jiao, and Q. Wang
International Conference on Medical Imaging Physics and Engineering (ICMIPE), Shenzhen, China, 2019
ConvRadiomics: Convolutional Radiomics Feature Extraction Toolkit
O. M. Ijurra, Y. Jiao, and Q. Wang
International Conference on Medical Imaging Physics and Engineering (ICMIPE), Shenzhen, China, 2019
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization
K. Xuan, D. Wei, D. Wu, Z. Xue, Y. Zhan, W. Yao, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-Ray
X. Ouyang, Z. Xue, Y. Zhan, X. S. Zhou, Q. Wang, Y. Zhou, Q. Wang, and J.-Z. Cheng
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors
D. Wei, S. Ahmad, J. Huo, W. Peng, Y. Ge, Z. Xue, P.-T. Yap, W. Li, D. Shen, and Q. Wang
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
Pre-Operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype
Z. Tang, Y. Xu, Z. Jiao, J. Lu, L. Jin, A. Aibaidula, J. Wu, Q. Wang, H. Zhang, and D. Shen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading
P. Huang, D. Li, Z. Jiao, D. Wei, G. Li, Q. Wang, H. Zhang, and D. Shen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images
Y. Guo, L. Bi, A. Kumar, Y. Gao, R. Zhang, D. Feng, Q. Wang, and J. Kim
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Shenzhen, China, 2019
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration
D. Wei, S. Ahmad, Z. Wu, X. Cao, X. Ren, G. Li, D. Shen, and Q. Wang
Machine Learning in Medical Imaging, Shenzhen, China, 2019
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation
B. Xiao, X. Cheng, Q. Li, Q. Wang, L. Zhang, D. Wei, Y. Zhan, X. S. Zhou, Z. Xue, G. Lu, and F. Shi
Machine Learning in Medical Imaging, Shenzhen, China, 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
X. Ren, L. Zhang, D. Wei, D. Shen, and Q. Wang
Machine Learning in Medical Imaging, Shenzhen, China, 2019
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit
Y. Jiao, O. M. Ijurra, L. Zhang, D. Shen, and Q. Wang
Radiomics and Radiogenomics in Neuro-oncology, Shenzhen, China, 2019
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning
Y. Ge, D. Wei, Z. Xue, Q. Wang, X. Zhou, Y. Zhan, and S. Liao
IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, 2019
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information
L. Xiang, Y. Chen, W. Chang, Y. Zhan, W. Lin, Q. Wang, and D. Shen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Granada, Spain, 2018
Unpaired Deep Cross-Modality Synthesis with Fast Training
L. Xiang, Y. Li, W. Lin, Q. Wang, and D. Shen
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Granada, Spain, 2018
Deep Learning Based Inter-Modality Image Registration Supervised by Intra-Modality Similarity
X. Cao, J. Yang, L. Wang, Z. Xue, Q. Wang, and D. Shen
Machine Learning in Medical Imaging, Granada, Spain, 2018
Latent3DU-Net: Multi-Level Latent Shape Space Constrained 3D U-Net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip
G. Zeng, Q. Wang, T. Lerch, F. Schmaranzer, M. Tannast, K. Siebenrock, and G. Zheng
Machine Learning in Medical Imaging, Granada, Spain, 2018
Malignant Brain Tumor Classification Using the Random Forest Method
L. Zhang, H. Zhang, I. Rekik, Y. Gao, Q. Wang, and D. Shen
Structural, Syntactic, and Statistical Pattern Recognition, Beijing, China, 2018
Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients
S. Chen, W. Tang, J. Hu, Y. Cheng, Q. Wang, X. Wu, and D. Shen
IEEE International Conference on Big Data and Smart Computing (BigComp), Shanghai, China, 2018
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
D. Nie, R. Trullo, J. Lian, C. Petitjean, S. Ruan, Q. Wang, and D. Shen
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
L. Chen, H. Zhang, K.-H. Thung, L. Liu, J. Lu, J. Wu, Q. Wang, and D. Shen
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, 2017
Deformable Image Registration Based on Similarity-Steered CNN Regression
X. Cao, J. Yang, J. Zhang, D. Nie, M. Kim, Q. Wang, and D. Shen
Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 2017
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment
L. Zhang, H. Zhang, X. Chen, Q. Wang, P.-T. Yap, and D. Shen
Patch-Based Techniques in Medical Imaging, 2017
Sparse Multi-View Task-Centralized Learning for ASD Diagnosis
J. Wang, Q. Wang, S. Wang, and D. Shen
Machine Learning in Medical Imaging, 2017
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks
L. Liu, H. Zhang, I. Rekik, X. Chen, Q. Wang, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Athens, Greece, 2016
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease
L. Liu, Q. Wang, E. Adeli, L. Zhang, H. Zhang, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, Athens, Greece, 2016
Cross-Manifold Guidance in Deformable Registration of Brain MR Images
J. Zhang, Q. Wang, G. Wu, and D. Shen
Medical Imaging and Augmented Reality, Athens, Greece, 2016
Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder
S. Wang, H. Hu, S. Su, L. Liu, Z. Wang, Q. Wang, and D. Shen
Intelligent Data Engineering and Automated Learning – IDEAL 2016, Athens, Greece, 2016
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning
P. Dong, Y. Guo, Y. Gao, P. Liang, Y. Shi, Q. Wang, D. Shen, and G. Wu
Patch-Based Techniques in Medical Imaging, Athens, Greece, 2016
Automatic Lung Nodule Classification with Radiomics Approach
J. Ma, Q. Wang, Y. Ren, H. Hu, and J. Zhao
Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, San Diego, California, 2016
Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
L. Zhang, Q. Wang, Y. Gao, G. Wu, and D. Shen
Patch-Based Techniques in Medical Imaging, Munich, Germany, 2015
Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
G. Wu, X. Zhu, Q. Wang, and D. Shen
Patch-Based Techniques in Medical Imaging, Munich, Germany, 2015
Dual-Layer L1-Graph Embedding for Semi-Supervised Image Labeling
Q. Wang, G. Wu, and D. Shen
Patch-Based Techniques in Medical Imaging, Munich, Germany, 2015
Multi-Atlas Context Forests for Knee MR Image Segmentation
Q. Liu, Q. Wang, L. Zhang, Y. Gao, and D. Shen
Machine Learning in Medical Imaging, Munich, Germany, 2015
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image
Q. Wang, G. Wu, M.-J. Kim, L. Zhang, and D. Shen
CCF Chinese Conference on Computer Vision, 2015
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development
Q. Wang, G. Wu, L. Wang, P. Shi, W. Lin, and D. Shen
Machine Learning in Medical Imaging, 2014
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images
L. Zhang, Q. Wang, Y. Gao, G. Wu, and D. Shen
Machine Learning in Medical Imaging, 2014
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion
G. Wu, Q. Wang, S. Liao, D. Zhang, F. Nie, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, Nagoya, Japan, 2013
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images
G. Wu, M. Kim, Q. Wang, Y. Gao, S. Liao, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, Nagoya, Japan, 2013
Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images
Q. Wang, L. Lu, D. Wu, N. El-Zehiry, D. Shen, and K. S. Zhou
Computational Methods and Clinical Applications for Spine Imaging, Nagoya, Japan, 2013
Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images
M. Kim, G. Wu, Q. Wang, and D. Shen
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, Nagoya, Japan, 2013
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration
Q. Wang, M. Kim, G. Wu, and D. Shen
Information Processing in Medical Imaging (IPMI), 2013
Groupwise Registration via Graph Shrinkage on the Image Manifold,
S. Ying, G. Wu, Q. Wang, and D. Shen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, 2013
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images
G. Wu, M. Kim, Q. Wang, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, Nice, France, 2012
An Image Processing Approach to Compensate for the Bladder Wall Motion and Deformation in MR Cystography
Q. Lin, Z. Liang, H. Li, S. Jambawalikar, Q. Wang, B. Phillips, W. Waltzer, M. Zawin, D. Harrington, and X. He
IEEE Nuclear Science Symposium Conference Record, 2011
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image
G. Wu, Q. Wang, J. Lian, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011
Fiber Modeling and Clustering Based on Neuroanatomical Features
Q. Wang, P.-T. Yap, G. Wu, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011
Diffusion Tensor Image Registration with Combined Tract and Tensor Features
Q. Wang, P.-T. Yap, G. Wu, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011
Directed Graph Based Image Registration
H. Jia, G. Wu, Q. Wang, Y. Wang, M. Kim, and D. Shen
Machine Learning in Medical Imaging, 2011
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration
G. Wu, Q. Wang, J. Lian, and D. Shen
Information Processing in Medical Imaging (IPMI), Kloster Irsee, Germany, 2011
iTree: Fast and Accurate Image Registration Based on the Combinative and Incremental Tree
H. Jia, G. Wu, Q. Wang, M. Kim, and D. Shen
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Chicago, Illinois, 2011
Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics
G. Wu, Q. Wang, H. Jia, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, Beijing, China, 2010
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
G. Wu, Q. Wang, H. Jia, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, Beijing, China, 2010
Groupwise Registration with Sharp Mean
G. Wu, H. Jia, Q. Wang, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, Beijing, China, 2010
Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features
Q. Wang, P.-T. Yap, H. Jia, G. Wu, and D. Shen
Medical Imaging and Augmented Reality, Beijing, China, 2010
ABSORB: Atlas Building by Self-Organized Registration and Bundling
H. Jia, G. Wu, Q. Wang, and D. Shen
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, 2010
Groupwise Registration from Exemplar to Group Mean: Extending HAMMER to Groupwise Registration
G. Wu, P.-T. Yap, Q. Wang, and D. Shen
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Rotterdam, Netherlands, 2010
Attribute Vector Guided Groupwise Registration
Q. Wang, P.-T. Yap, G. Wu, and D. Shen
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, London, United Kingdom, 2009
Group-Wise Registration of Large Image Dataset by Hierarchical Clustering and Alignment
Q. Wang, L. Chen, and D. Shen
Medical Imaging 2009: Image Processing, Florida, United States, 2009
Fast Histogram Equalization for Medical Image Enhancement
Q. Wang, L. Chen, and D. Shen
30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, British Columbia, 2008

Coming soon.