Hao Zhang

Orcid: 0000-0002-1304-5895

Affiliations:
  • Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, USA
  • State University of New York, Depts. of Radiology and Biomedical Engineering, Stony Brook, NY, USA (PhD 2016)


According to our database1, Hao Zhang authored at least 21 papers between 2012 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.
IEEE Trans. Medical Imaging, November, 2023

Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain.
IEEE Trans. Medical Imaging, June, 2023

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT.
Sensors, February, 2023

2020
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction.
IEEE Trans. Medical Imaging, 2020

Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans.
IEEE Trans. Computational Imaging, 2020

Dual-discriminator GAN: A GAN way of profile face recognition.
CoRR, 2020

2019
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization.
IEEE Trans. Medical Imaging, 2019

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2019

A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.
IEEE Trans. Medical Imaging, 2019

2018
Regularization Analysis and Design for Prior-Image-Based X-Ray CT Reconstruction.
IEEE Trans. Medical Imaging, 2018

2017
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.
IEEE Trans. Medical Imaging, 2017

2016
Erratum to "Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images".
IEEE Trans. Medical Imaging, 2016

Extracting Information From Previous Full-Dose CT Scan for Knowledge-Based Bayesian Reconstruction of Current Low-Dose CT Images.
IEEE Trans. Medical Imaging, 2016

Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography Colonography.
IEEE Trans. Medical Imaging, 2016

2015
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach.
Comput. Medical Imaging Graph., 2015

2014
Correction to "Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction".
IEEE Trans. Medical Imaging, 2014

Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2014

Statistical image reconstruction for low-dose CT using nonlocal means-based regularization.
Comput. Medical Imaging Graph., 2014

A novel computer-aided detection system for pulmonary nodule identification in CT images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
A unified EM approach to bladder wall segmentation with coupled level-set constraints.
Medical Image Anal., 2013

2012
An integrated electronic colon cleansing for CT colonoscopy via MAP-EM segmentation and scale-based scatter correction.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012


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