Xiaohua Qian
Orcid: 0000-0002-6548-6801
According to our database1,
Xiaohua Qian
authored at least 30 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians.
IEEE Trans. Medical Imaging, January, 2024
2023
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians.
IEEE Trans. Medical Imaging, December, 2023
IEEE J. Biomed. Health Informatics, October, 2023
Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography.
IEEE Trans. Medical Imaging, June, 2023
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization.
Medical Image Anal., May, 2023
A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer.
Medical Image Anal., April, 2023
Group-shrinkage feature selection with a spatial network for mining DNA methylation data.
Comput. Biol. Medicine, March, 2023
Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks.
IEEE Trans. Medical Imaging, February, 2023
Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation.
IEEE J. Biomed. Health Informatics, 2023
2022
Multi-Scale Sparse Graph Convolutional Network For the Assessment of Parkinsonian Gait.
IEEE Trans. Multim., 2022
Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.
IEEE Trans. Medical Imaging, 2022
Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation.
IEEE J. Biomed. Health Informatics, 2022
A Contrastive Graph Convolutional Network for Toe-Tapping Assessment in Parkinson's Disease.
IEEE Trans. Circuits Syst. Video Technol., 2022
A Self-Supervised Metric Learning Framework for the Arising-From-Chair Assessment of Parkinsonians With Graph Convolutional Networks.
IEEE Trans. Circuits Syst. Video Technol., 2022
A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer.
Medical Image Anal., 2022
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements.
Medical Image Anal., 2022
Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision.
Neurocomputing, 2022
2021
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer.
IEEE Trans. Medical Imaging, 2021
Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2021
Automated assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification model.
Neurocomputing, 2021
2020
Generating Stereoscopic Images With Convergence Control Ability From a Light Field Image Pair.
IEEE Trans. Circuits Syst. Video Technol., 2020
Transparency-guided ensemble convolutional neural network for the stratification between pseudoprogression and true progression of glioblastoma multiform in MRI.
J. Vis. Commun. Image Represent., 2020
2019
CoRR, 2019
CoRR, 2019
DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet.
CoRR, 2019
IEEE Access, 2019
2018
Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets.
IEEE Trans. Fuzzy Syst., 2018
2017
Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs.
Artif. Intell. Medicine, 2017
2016
Comput. Biol. Medicine, 2016
2013
Automated segmentation of brain ventricles in unenhanced CT of patients with ischemic stroke.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013