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 25 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Imbalanced Multiclassification Challenges in Whole Slide Image: Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning With Dynamic Rebalancing.
IEEE Trans. Image Process., 2026

Diffusion-based virtual multi-stain staining for pituitary adenoma histopathology.
Comput. Medical Imaging Graph., 2026

Hybrid-order GCN applied to cognitive impairment identification based on dual-modality brain network.
Biomed. Signal Process. Control., 2026

2025
Adaptive Multi-Scale Dynamic Graph Representation Learning With Overlapping Community-Awareness for ASD Classification.
IEEE J. Biomed. Health Informatics, December, 2025

MindShot: Multi-Shot Video Reconstruction from fMRI with LLM Decoding.
CoRR, August, 2025

SAMPO: Visual Preference Optimization for Intent-Aware Segmentation with Vision Foundation Models.
CoRR, August, 2025

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst., May, 2025

Dual-path neural network extracts tumor microenvironment information from whole slide images to predict molecular typing and prognosis of Glioma.
Comput. Methods Programs Biomed., 2025

Integrating intratumor-peritumor implicit correlation and deep semantic features for ultrasound breast cancer diagnosis.
Biomed. Signal Process. Control., 2025

2024
A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis.
CoRR, 2024

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

Multi-statistical Features-Based 4D Spatiotemporal Level Set Model for CTP Image Segmentation.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 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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