Zhifeng Shi

According to our database1, Zhifeng Shi authored at least 13 papers between 2016 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Integrated diagnosis of glioma based on magnetic resonance images with incomplete ground truth labels.
Comput. Biol. Medicine, 2024

2023
OCIF: automatically learning the optimized clinical information fusion method for computer-aided diagnosis tasks.
Int. J. Comput. Assist. Radiol. Surg., December, 2023

2022
Convolutional neural network with coarse-to-fine resolution fusion and residual learning structures for cross-modality image synthesis.
Biomed. Signal Process. Control., 2022

2021
MIL normalization - - prerequisites for accurate MRI radiomics analysis.
Comput. Biol. Medicine, 2021

MRI-based brain tumor segmentation using FPGA-accelerated neural network.
BMC Bioinform., 2021

Research on optimization of crop planting area estimation from remote sensing data.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020
A Vertex Concavity-Convexity Detection Method for Three-Dimensional Spatial Objects Based on Geometric Algebra.
ISPRS Int. J. Geo Inf., 2020

2019
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.
IEEE Trans. Medical Imaging, 2019

Calculation for Multidimensional Topological Relations in 3D Cadastre Based on Geometric Algebra.
ISPRS Int. J. Geo Inf., 2019

2018
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors.
IEEE Trans. Medical Imaging, 2018

Characteristics and Classification of Topological Spatial Relations in 3-D Cadasters.
Inf., 2018

2017
A mRMRMSRC feature selection method for radiomics approach.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Histological grade and type classification of glioma using Magnetic Resonance Imaging.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016


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