Guanzhong Gong

Orcid: 0000-0002-4943-8084

According to our database1, Guanzhong Gong authored at least 23 papers between 2012 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma.
BMC Medical Imaging, December, 2023

Hybrid neural-like P systems with evolutionary channels for multiple brain metastases segmentation.
Pattern Recognit., October, 2023

An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images.
J. Digit. Imaging, August, 2023

Spiking neural P system with synaptic vesicles and applications in multiple brain metastasis segmentation.
Inf. Sci., May, 2023

Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation.
IEEE Trans. Parallel Distributed Syst., April, 2023

Hypergraph-based spiking neural P systems for predicting the overall survival time of glioblastoma patients.
Expert Syst. Appl., April, 2023

2022
COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment.
Pattern Recognit., 2022

Quantitative study of the changes in brain white matter before and after radiotherapy by applying multi-sequence MR radiomics.
BMC Medical Imaging, 2022

2021
Pancreas segmentation using a dual-input v-mesh network.
Medical Image Anal., 2021

Computer-aided diagnosis and regional segmentation of nasopharyngeal carcinoma based on multi-modality medical images.
Int. J. Comput. Assist. Radiol. Surg., 2021

A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography.
Biomed. Signal Process. Control., 2021

2020
MMFNet: A multi-modality MRI fusion network for segmentation of nasopharyngeal carcinoma.
Neurocomputing, 2020

COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19.
CoRR, 2020

Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
BMC Medical Imaging, 2020

Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Key-Point Matching Guided Coronary Artery Extraction from CT Coronary Angiography Sequence.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

CorGAN: Context aware Recurrent Generative Adversarial Network for Medical Image Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma.
CoRR, 2018

A topo-graph model for indistinct target boundary definition from anatomical images.
Comput. Methods Programs Biomed., 2018

2017
Computational boundary definition by geodesic graph model.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2012
A modified optical flow based method for registration of 4D CT data of hepatocellular carcinoma patients.
Proceedings of the 2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems, 2012


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