Quanzheng Li

According to our database1, Quanzheng Li authored at least 81 papers between 2004 and 2019.

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2019
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE Trans. Med. Imaging, 2019

PET Image Reconstruction Using Deep Image Prior.
IEEE Trans. Med. Imaging, 2019

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
IEEE Trans. Med. Imaging, 2019

PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior.
IEEE Trans. Computational Imaging, 2019

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Functional Neuroimaging in the New Era of Big Data.
Genom. Proteom. Bioinform., 2019

Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.
CoRR, 2019

Multi-label Detection and Classification of Red Blood Cells in Microscopic Images.
CoRR, 2019

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging.
CoRR, 2019

ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.
CoRR, 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
CoRR, 2019

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Feature Pyramid Based Attention for Cervical Image Classification.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Novel Radiomic Features Based on Graph Theory for PET Image Analysis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Graph Convolutional Neural Networks For Alzheimer's Disease Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.
IEEE Trans. Med. Imaging, 2018

Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.
Neuroinformatics, 2018

Decoding the orientation of contrast edges from MEG evoked and induced responses.
NeuroImage, 2018

Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model.
CoRR, 2018

Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging.
CoRR, 2018

Network Modeling and Pathway Inference from Incomplete Data ("PathInf").
CoRR, 2018

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network.
CoRR, 2018

Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

End-to-End Lung Nodule Detection in Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.
IEEE Trans. Med. Imaging, 2017

Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images.
CoRR, 2017

End-to-End Abnormality Detection in Medical Imaging.
CoRR, 2017

Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes.
CoRR, 2017

Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net.
CoRR, 2017

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
CoRR, 2017

A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising.
CoRR, 2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Image deblurring using a joint entropy prior in x-ray luminescence computed tomography.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016
Matched signal detection on graphs: Theory and application to brain imaging data classification.
NeuroImage, 2016

Localizing Sources of Brain Disease Progression with Network Diffusion Model.
J. Sel. Topics Signal Processing, 2016

Clinical decision support for Alzheimer's disease based on deep learning and brain network.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Gold classification of COPDGene cohort based on deep learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty.
IEEE Trans. Med. Imaging, 2015

Direct estimation from list-mode data for reversible tracers using graphical modeling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

PET point spread function modeling and image deblurring using a PET/MRI joint entropy prior.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Retrospective data-driven respiratory gating for PET using TOF information.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Patlak Image Estimation From Dual Time-Point List-Mode PET Data.
IEEE Trans. Med. Imaging, 2014

Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.
IEEE Trans. Med. Imaging, 2014

Inferring Sources of Dementia Progression with Network Diffusion Model.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
A graph theoretical regression model for brain connectivity learning of Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Respiratory motion compensation in simultaneous PET/MR using a maximum a posteriori approach.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Dual-time-point Patlak estimation from list mode PET data.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
PET Image Reconstruction Using Information Theoretic Anatomical Priors.
IEEE Trans. Med. Imaging, 2011

Optimal Rebinning of Time-of-Flight PET Data.
IEEE Trans. Med. Imaging, 2011

2010
Sulcal set optimization for cortical surface registration.
NeuroImage, 2010

2009
Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection.
IEEE Trans. Med. Imaging, 2009

Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET.
IEEE Trans. Med. Imaging, 2009

Direct Estimation of Patlak Parameters from List Mode PET Data.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Optimization of landmark selection for cortical surface registration.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data.
IEEE Trans. Med. Imaging, 2007

Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET.
IEEE Trans. Med. Imaging, 2007

Variance Approximation for Exponential Family Penalized Maximum Likelihood Estimators: Application fo Kinetic Parametric Estimation.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Statistical Modeling and Reconstruction of Randoms Precorrected PET Data.
IEEE Trans. Med. Imaging, 2006

Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Statistical modeling and reconstruction of randoms pre-corrected PET data.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004
Accurate estimation of the fisher information matrix for the PET image reconstruction problem.
IEEE Trans. Med. Imaging, 2004

A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004


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