Xiaohua Qian

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Convolutional Network

Stereoscopic Images

Multiple Instance

Feature Mapping

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

IEEE Trans. Circuits Syst. Video Technol.

IEEE J. Biomed. Health Informatics

Publications

Zheng Xie, Rui Guo, Chencheng Zhang, Xiaohua Qian
A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Jiaqi Qu, Xiang Xiao, Xunbin Wei, Xiaohua Qian
A causality-inspired generalized model for automated pancreatic cancer diagnosis. Medical Image Anal. 94 (2024)
Xinlu Tang, Rui Guo, Chencheng Zhang, Xiaohua Qian
A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians. Medical Image Anal. 97 (2024)
Rui Guo, Zheng Xie, Chencheng Zhang, Xiaohua Qian
Causality-Enhanced Multiple Instance Learning With Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment. IEEE Trans. Image Process. 33 (2024)
Xinlu Tang, Chencheng Zhang, Rui Guo, Xinling Yang, Xiaohua Qian
A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. IEEE Trans. Medical Imaging 43 (1) (2024)
Xiaofan Song, Jun Li, Xiaohua Qian
Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. IEEE Trans. Medical Imaging 42 (2) (2023)
Xiahan Chen, Weishen Wang, Yu Jiang, Xiaohua Qian
A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer. Medical Image Anal. 85 (2023)
Xinlu Tang, Rui Guo, Chencheng Zhang, Xiahai Zhuang, Xiaohua Qian
A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. IEEE Trans. Medical Imaging 42 (12) (2023)
Xinyue Li, Rui Guo, Jing Lu, Tao Chen, Xiaohua Qian
Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. IEEE Trans. Medical Imaging 42 (6) (2023)
Xinlu Tang, Zhanfeng Mo, Cheng Chang, Xiaohua Qian
Group-shrinkage feature selection with a spatial network for mining DNA methylation data. Comput. Biol. Medicine 154 (2023)
Jun Li, Tao Chen, Xiaohua Qian
Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation. IEEE J. Biomed. Health Informatics 27 (1) (2023)
Jun Li, Hongzhang Zhu, Tao Chen, Xiaohua Qian
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Jiaqi Qu, Xunbin Wei, Xiaohua Qian
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization. Medical Image Anal. 86 (2023)
Xiahan Chen, Zihao Chen, Jun Li, Yu-Dong Zhang, Xiaozhu Lin, Xiaohua Qian
Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation. IEEE Trans. Medical Imaging 41 (1) (2022)
Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian
Multi-Scale Sparse Graph Convolutional Network For the Assessment of Parkinsonian Gait. IEEE Trans. Multim. 24 (2022)
Jun Li, Chaolu Feng, Xiaozhu Lin, Xiaohua Qian
Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Rui Guo, Hao Li, Chencheng Zhang, Xiaohua Qian
A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements. Medical Image Anal. 81 (2022)
Rui Guo, Jie Sun, Chencheng Zhang, Xiaohua Qian
A Self-Supervised Metric Learning Framework for the Arising-From-Chair Assessment of Parkinsonians With Graph Convolutional Networks. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Jun Li, Chaolu Feng, Qing Shen, Xiaozhu Lin, Xiaohua Qian
Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision. Neurocomputing 467 (2022)
Jun Li, Liang Qi, Qingzhong Chen, Yu-Dong Zhang, Xiaohua Qian
A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer. Medical Image Anal. 78 (2022)
Rui Guo, Jie Sun, Chencheng Zhang, Xiaohua Qian
A Contrastive Graph Convolutional Network for Toe-Tapping Assessment in Parkinson's Disease. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Hao Li, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian
Automated assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification model. Neurocomputing 441 (2021)
Xiahan Chen, Xiaozhu Lin, Qing Shen, Xiaohua Qian
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer. IEEE Trans. Medical Imaging 40 (2) (2021)
Xiaofan Song, Mingyi Mao, Xiaohua Qian
Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Tao Yan, Yiming Mao, Jianming Wang, Wenxi Liu, Xiaohua Qian, Rynson W. H. Lau
Generating Stereoscopic Images With Convergence Control Ability From a Light Field Image Pair. IEEE Trans. Circuits Syst. Video Technol. 30 (5) (2020)
Xiaoming Liu, Xiaobo Zhou, Xiaohua Qian
Transparency-guided ensemble convolutional neural network for the stratification between pseudoprogression and true progression of glioblastoma multiform in MRI. J. Vis. Commun. Image Represent. 72 (2020)
Meiyu Li, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian
DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet. CoRR (2019)
Tao Yan, Fan Zhang, Yiming Mao, Hongbin Yu, Xiaohua Qian, Rynson W. H. Lau
Depth Estimation From a Light Field Image Pair With a Generative Model. IEEE Access 7 (2019)
Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian
Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. CoRR (2019)
Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. CoRR (2019)
Jun Wang, Huan Liu, Xiaohua Qian, Yizhang Jiang, Zhaohong Deng, Shitong Wang
Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets. IEEE Trans. Fuzzy Syst. 26 (2) (2018)
Changjian Sun, Shuxu Guo, Huimao Zhang, Jing Li, Meimei Chen, Shuzhi Ma, Lanyi Jin, Xiaoming Liu, Xueyan Li, Xiaohua Qian
Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs. Artif. Intell. Medicine 83 (2017)
Jian Zhang, Hengyong Yu, Xiaohua Qian, Keqin Liu, Hua Tan, Tielin Yang, Maode Wang, King Chuen Li, Michael D. Chan, Waldemar Debinski, Anna Paulsson, Ge Wang, Xiaobo Zhou
Pseudo progression identification of glioblastoma with dictionary learning. Comput. Biol. Medicine 73 (2016)
Xiaohua Qian, Jiahui Wang, Qiang Li
Automated segmentation of brain ventricles in unenhanced CT of patients with ischemic stroke. Medical Imaging: Computer-Aided Diagnosis (2013)