Guoqing Wu
Orcid: 0000-0002-8991-8701Affiliations:
- Fudan University, Department of Electronic Engineering, AI Lab of Huashan Hospital, Shanghai, China
According to our database1,
Guoqing Wu
authored at least 21 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
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
Comput. Biol. Medicine, 2021
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
Biomed. Signal Process. Control., 2019
2018
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
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017