Jianhua Ma

Orcid: 0000-0003-2958-1710

Affiliations:
  • Southern Medical University, Guangzhou, China


According to our database1, Jianhua Ma authored at least 83 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation.
IEEE J. Biomed. Health Informatics, June, 2024

Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution.
IEEE Trans. Medical Imaging, May, 2024

Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model.
IEEE Trans. Medical Imaging, February, 2024

Super Resolution Dual-Energy Cone-Beam CT Imaging With Dual-Layer Flat-Panel Detector.
IEEE Trans. Medical Imaging, February, 2024

OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning.
IEEE Trans. Medical Imaging, January, 2024

A model-based MR parameter mapping network robust to substantial variations in acquisition settings.
Medical Image Anal., 2024

Unveiling camouflaged and partially occluded colorectal polyps: Introducing CPSNet for accurate colon polyp segmentation.
Comput. Biol. Medicine, 2024

2023
Cross-Domain Unpaired Learning for Low-Dose CT Imaging.
IEEE J. Biomed. Health Informatics, November, 2023

WISe: Wireless Intelligent Sensing for Human-Centric Applications.
IEEE Wirel. Commun., April, 2023

Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multilevel Classification of Drowsiness States using ECG with Optimized Convolutional Neural Network.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

FMCW Radar-based Sleep Posture Monitoring Through Logic and Deep Learning Methods.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

IMU-Based Reliable Vital Signs Monitoring From Human to Dog.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

Radar-Based Eyeblink Detection Under Various Conditions.
Proceedings of the 12th International Conference on Software and Computer Applications, 2023

Range-Aware Hand Gesture Recognition Using FMCW Radar and Deep Learning.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Influences of Mental Stress Level on Individual Identification using Wearable Biosensors.
Proceedings of the IEEE Intl Conf on Dependable, 2023

2022
Huber Kalman Filter for Wi-Fi Based Vehicle Driver's Respiration Detection.
IEEE Trans. Veh. Technol., 2022

Noise Characteristics Modeled Unsupervised Network for Robust CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2022

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.
CoRR, 2022

An Integrated Platform for Synchronous and Auto-Tagged Data Collection From Diverse Sensors.
Proceedings of the IEEE Smartworld, 2022

Accuracy Assessment and Improvement of FMCW Radar-based Vital Signs Monitoring under Practical Scenarios.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Learning to Reconstruct CT Images From the VVBP-Tensor.
IEEE Trans. Medical Imaging, 2021

Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning.
IEEE Trans. Medical Imaging, 2021

Weighted Tensor Low-Rankness and Learnable Analysis Sparse Representation Model for Texture Preserving Low-Dose CT Reconstruction.
IEEE Trans. Computational Imaging, 2021

Pattern classification for breast lesion on FFDM by integration of radiomics and deep features.
Comput. Medical Imaging Graph., 2021

Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity.
IEEE Access, 2021

Complementary Value of Intra- and Peri-Tumoral PET/CT Radiomics for Outcome Prediction in Head and Neck Cancer.
IEEE Access, 2021

Recent Advances in Radar-Based Sleep Monitoring - A Review.
Proceedings of the IEEE Intl Conf on Dependable, 2021

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

VVBP-Tensor in the FBP Algorithm: Its Properties and Application in Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2020

MDM-PCCT: Multiple Dynamic Modulations for High-Performance Spectral PCCT Imaging.
IEEE Trans. Medical Imaging, 2020

Radon Inversion via Deep Learning.
IEEE Trans. Medical Imaging, 2020

Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer.
IEEE J. Biomed. Health Informatics, 2020

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

Combined global and local information for blind CT image quality assessment via deep learning.
Proceedings of the Medical Imaging 2020: Image Perception, 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

High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations.
Neurocomputing, 2019

Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network.
CoRR, 2019

2018
A new Mumford-Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction.
Neurocomputing, 2018

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features.
CoRR, 2018

Radon Inversion via Deep Learning.
CoRR, 2018

Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement.
CoRR, 2018

Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition.
Comput. Methods Programs Biomed., 2018

Speckle Noise Removal Based on Adaptive Total Variation Model.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Blind CT image quality assessment via deep learning strategy: initial study.
Proceedings of the Medical Imaging 2018: Image Perception, 2018

Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.
IEEE Trans. Medical Imaging, 2017

Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging.
IEEE Trans. Medical Imaging, 2017

A simple respiratory motion analysis method for chest tomosynthesis.
Proceedings of the 14th IEEE International Symposium on Biomedical 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

Spectral CT Image Restoration via an Average Image-Induced Nonlocal Means Filter.
IEEE Trans. Biomed. Eng., 2016

Network-Based Statistic Show Aberrant Functional Connectivity in Alzheimer's Disease.
IEEE J. Sel. Top. Signal Process., 2016

Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations.
Neurocomputing, 2016

Penalized weighted least-squares approach for multienergy computed tomography image reconstruction via structure tensor total variation regularization.
Comput. Medical Imaging Graph., 2016

Four dimensional cone-beam computed tomography reconstruction using motion tracking induced regional spatiotemporal sparsity.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Impaired episodic memory network in subjects at high risk for Alzheimer's disease.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Sparse-View X-ray Computed Tomography Reconstruction via Mumford-Shah Total Variation Regularization.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 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

Iterative Reconstruction for X-Ray Computed Tomography Using Prior-Image Induced Nonlocal Regularization.
IEEE Trans. Biomed. Eng., 2014

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

Spectral CT image restoration using average image induced nonlocal means filter.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Second order total generalized variation for low-dose computed tomography image reconstruction.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Anatomy-guided brain PET imaging incorporating a joint prior model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Iterative image reconstruction for low-dose x-ray CT using a sinogram restoration induced edge-preserving prior.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Motion Correction for MR Cystography by an Image Processing Approach.
IEEE Trans. Biomed. Eng., 2013

Adaptive Segmentation of Vertebral Bodies from Sagittal MR Images Based on Local Spatial Information and Gaussian Weighted Chi-Square Distance.
J. Digit. Imaging, 2013

SR-NLM: A sinogram restoration induced non-local means image filtering for low-dose computed tomography.
Comput. Medical Imaging Graph., 2013

Iterative image reconstruction for ultra-low-dose CT with a combined low-mAs and sparse-view protocol.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Parametric imaging via kinetics-induced filter for dynamic positron emission tomography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Threshold choices of Huber regularization using global- and local-edge-detecting operators for x-ray computed tomographic reconstruction.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2011
Sparse angular CT reconstruction using non-local means based iterative-correction POCS.
Comput. Biol. Medicine, 2011

Projection data restoration guided non-local means for low-dose computed tomography reconstruction.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Generalized Gibbs priors based positron emission tomography reconstruction.
Comput. Biol. Medicine, 2010

2008
Nonlocal Prior Bayesian Tomographic Reconstruction.
J. Math. Imaging Vis., 2008

An improved super-short-scan reconstruction for fan-beam computed tomography.
Proceedings of the International Conference on Image Processing, 2008

3D cone-beam generalized pseudo-lambda tomography based on FDK.
Proceedings of the International Conference on Image Processing, 2008

2007
PI-Line Based Fan-Beam Lambda Imaging without Singularities.
Proceedings of the International Conference on Image Processing, 2007


  Loading...