Tonghe Wang

Orcid: 0000-0001-9021-1204

According to our database1, Tonghe Wang authored at least 99 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Decomposition analysis on factors affecting electricity substitution in Guangdong province, China.
IET Cyper-Phys. Syst.: Theory & Appl., December, 2023

A Blockchain-Based Distributed Computational Resource Trading Strategy for Internet of Things Considering Multiple Preferences.
Symmetry, March, 2023

Edge Computing with Artificial Intelligence: A Machine Learning Perspective.
ACM Comput. Surv., 2023

Full-dose PET Synthesis from Low-dose PET Using High-efficiency Diffusion Denoising Probabilistic Model.
CoRR, 2023

Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion Model.
CoRR, 2023

Cycle-guided Denoising Diffusion Probability Model for 3D Cross-modality MRI Synthesis.
CoRR, 2023

Deep learning-based multi-organ CT segmentation with adversarial data augmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Multi-organ CT segmentation using shifted-window multilayer perceptron mixer.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Deformable image registration of chest CT using deep cycle network.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging.
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023

2022
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy.
CoRR, 2022

A Blockchain-Based Distributed Computational Resource Trading System for Industrial Internet of Things Considering Multiple Preferences.
CoRR, 2022

Iterative material decomposition with gradient L0-norm minimization for dual-energy CT.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

A deep learning approach to transform two orthogonal X-ray images to volumetric images for image-guided proton therapy.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep-learning-based markerless tumor localization using 2D KV/MV image.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Deep learning based volume-to-slice MRI registration via intentional overfitting.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Using orthogonal 2D kV images for target localization via central matching networks.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

High-resolution MR imaging using self-supervised parallel network.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Neurovascular bundles segmentation on MRI via hierarchical object activation network.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Deep learning-based contrast-enhanced MRI using cascade networks with local supervision.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Male pelvic multi-organ segmentation using V-transformer network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

CT-based volumetric strain imaging via a deep learning registration framework.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.
Medical Image Anal., 2021

Review of distributed control and optimization in energy internet: From traditional methods to artificial intelligence-based methods.
IET Cyper-Phys. Syst.: Theory & Appl., 2021

Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review.
CoRR, 2021

Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Lung tumor segmentation of PET/CT using dual pyramid mask R-CNN.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Multi-organ segmentation on head and neck dual-energy CT using Deep Neural Networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Synthetic CT-based multi-organ segmentation in cone beam CT for adaptive pancreatic radiotherapy.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Deep learning-based 3D image generation using a single 2D projection image.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

CT-MRI pelvic deformable registration via deep learning.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based multi-catheter reconstruction for MRI-guided HDR prostate brachytherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Synthetic MRI-aided multi-organ segmentation in head-and-neck cone beam CT.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Region proposal network for multi-organ segmentation in CT for pancreatic radiotherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Multi-organ segmentation of male pelvic CT using dual attention networks.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

MRI-based prostate and dominant lesion segmentation using deep neural network.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep learning-based deformable MRI-CBCT registration of male pelvic region.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Deep attention mask regional convolutional neural network for head-and-neck MRI multi-organ auto-delineation.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

4D cone-beam CT deformable registration using unsupervised spatial transformation network.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Contrast-enhanced MRI synthesis from non-contrast MRI using attention CycleGAN.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Prostate and tumor segmentation on PET/CT using Dual Mask R-CNN.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

A learning-based nonrigid MRI-CBCT image registration method for MRI-guided prostate cancer radiotherapy.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Residual mask scoring regional convolutional neural network for multi-organ segmentation in head-and-neck CT.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Mask R-CNN-based tumor localization and segmentation in 4D Lung CT.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
IEEE Trans. Medical Imaging, 2020

Deep Learning in Multi-organ Segmentation.
CoRR, 2020

Machine Learning in Quantitative PET Imaging.
CoRR, 2020

Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Multi-organ segmentation in head and neck MRI using U-Faster-RCNN.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Estimating standard-dose PET from low-dose PET with deep learning.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

An unsupervised deep learning approach for 4DCT lung deformable image registration.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

3D thyroid segmentation in CT using self-attention convolutional neural network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Benign and malignant thyroid classification using computed tomography radiomics.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Mask R-CNN based coronary artery segmentation in coronary computed tomography angiography.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Organ-at-Risk (OAR) segmentation in head and neck CT using U-RCNN.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Multiparametric MRI-guided high-dose-rate prostate brachytherapy with focal dose boost to dominant intraprostatic lesions.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Attenuation correction without structural images for PET imaging.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

MRI-aided attenuation correction for PET imaging with deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Multi-organ segmentation in pelvic CT images with CT-based synthetic MRI.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Left ventricular myocardium segmentation in coronary computed tomography angiography using 3D deep attention u-net.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Synthetic CT-aided MRI-CT image registration for head and neck radiotherapy.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Intensity non-uniformity correction in MR imaging using deep learning.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019
Deep Learning in Medical Image Registration: A Review.
CoRR, 2019

Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

MRI-based synthetic CT generation using deep convolutional neural network.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

CBCT-Based Synthetic MRI Generation for CBCT-Guided Adaptive Radiotherapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019

Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Machine-learning-based classification of Glioblastoma using MRI-based radiomic features.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

A learning-based automatic segmentation method on left ventricle in SPECT imaging.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Brain MRI classification based on machine learning framework with auto-context model.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018
Pseudo CT Estimation using Patch-based Joint Dictionary Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Image-domain non-uniformity correction for cone-beam CT.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Contention Resolution on Multiple Channels with Collision Detection.
Proceedings of the 2016 ACM Symposium on Principles of Distributed Computing, 2016

2015
Bounds for Blind Rate Adaptation.
Proceedings of the 19th International Conference on Principles of Distributed Systems, 2015

2014
Fair Maximal Independent Sets.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013
Brief announcement: fair maximal independent sets in trees.
Proceedings of the ACM Symposium on Principles of Distributed Computing, 2013


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