Guoqing Wu

Orcid: 0000-0002-8991-8701

Affiliations:
  • Fudan University, Department of Electronic Engineering, AI Lab of Huashan Hospital, Shanghai, China


According to our database1, Guoqing Wu authored at least 14 papers between 2017 and 2024.

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

Timeline

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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

An efficient R-Transformer network with dual encoders for brain glioma segmentation in MR images.
Biomed. Signal Process. Control., 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

Identification of Vascular Cognitive Impairment in Adult Moyamoya Disease via Integrated Graph Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

A Radiomic-based Method for Predicting the Prognosis of Ischemic Stroke from Diffusion-weighted Imaging Images.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Convolutional Neural Network with Asymmetric Encoding and Decoding Structure for Brain Vessel Segmentation on Computed Tomographic Angiography.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Early identification of ischemic stroke in noncontrast computed tomography.
Biomed. Signal Process. Control., 2019

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

3D Texture Feature Learning for Noninvasive Estimation of Gliomas Pathological Subtype.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Framework.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 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


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