Xiaohua Qian

Orcid: 0000-0002-6548-6801

According to our database1, Xiaohua Qian authored at least 37 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis.
IEEE Trans. Artif. Intell., September, 2024

A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands.
IEEE Trans. Circuits Syst. Video Technol., May, 2024

A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians.
IEEE Trans. Medical Imaging, January, 2024

Causality-Enhanced Multiple Instance Learning With Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment.
IEEE Trans. Image Process., 2024

A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians.
Medical Image Anal., 2024

A causality-inspired generalized model for automated pancreatic cancer diagnosis.
Medical Image Anal., 2024

Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians.
IEEE Trans. Medical Imaging, December, 2023

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework.
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
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation.
CoRR, 2019

Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM.
CoRR, 2019

DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet.
CoRR, 2019

Depth Estimation From a Light Field Image Pair With a Generative Model.
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
Pseudo progression identification of glioblastoma with dictionary learning.
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


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