Quanzheng Li
Orcid: 0000-0002-9651-5820
According to our database1,
Quanzheng Li
authored at least 167 papers
between 2004 and 2024.
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Bibliography
2024
AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information.
CoRR, 2024
Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation.
CoRR, 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
CoRR, 2024
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
CoRR, 2024
CoRR, 2024
2023
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models.
IEEE Trans. Medical Imaging, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR, 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023
Decentralized Riemannian natural gradient methods with Kronecker-product approximations.
CoRR, 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior.
IEEE Trans. Medical Imaging, 2022
Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.
IEEE Trans. Biomed. Eng., 2022
Unsupervised PET logan parametric image estimation using conditional deep image prior.
Medical Image Anal., 2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation.
CoRR, 2022
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022).
CoRR, 2022
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising.
CoRR, 2022
CoRR, 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning.
CoRR, 2022
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks.
IEEE Trans. Biomed. Eng., 2021
Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network.
NeuroImage, 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.
Medical Image Anal., 2021
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection.
CoRR, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.
IEEE J. Biomed. Health Informatics, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020
A new Graph Gaussian embedding method for analyzing the effects of cognitive training.
PLoS Comput. Biol., 2020
CoRR, 2020
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions.
CoRR, 2020
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis.
CoRR, 2020
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography.
CoRR, 2020
CoRR, 2020
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study.
IEEE Access, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE Trans. Medical Imaging, 2019
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Computational Imaging, 2019
Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.
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
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
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
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
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
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
IEEE Trans. Medical Imaging, 2018
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.
Neuroinformatics, 2018
NeuroImage, 2018
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model.
CoRR, 2018
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
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. Medical Imaging, 2017
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images.
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
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
IEEE J. Sel. Top. Signal Process., 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
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
IEEE Trans. Medical 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
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
IEEE Trans. Medical Imaging, 2014
Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.
IEEE Trans. Medical Imaging, 2014
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
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
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
IEEE Trans. Medical Imaging, 2011
2010
2009
IEEE Trans. Medical Imaging, 2009
IEEE Trans. Medical Imaging, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
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. Medical Imaging, 2007
IEEE Trans. Medical 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
IEEE Trans. Medical 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
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. Medical 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