For all publications, please refer to Google Scholar.

Selected Publications
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 Analysis, 97: 103266, 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 Transactions on Image Processing, 33, 3991-4001, 2024.
  • Rui Guo, Linbin Wang, Chencheng Zhang, Lian Gu, Dianyou Li*, Xiaohua Qian*. A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility. IEEE Transactions on Circuits and Systems for Video Technology, 34(11), 11101-11113, 2024.
  • Wenli Fu#, Huijun Hu#, Xinyue Li, Rui Guo, Tao Chen, Xiaohua Qian*. A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels. IEEE Transactions on Medical Imaging, 43(11), 3794-3806, 2024.
  • Zheng Xie#, Rui Guo#, Chencheng Zhang, Xiaohua Qian*. A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands. IEEE Transactions on Circuits and Systems for Video Technology, 34(5), 3687-3699, 2024.
  • Xinyue Li#, Rui Guo#, Hongzhang Zhu#, Tao Chen, Xiaohua Qian*. A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis. IEEE Transactions on Artificial Intelligence, 5(9), 4675-4685, 2024.
  • Jiaqi Qu#, Xiang Xiao#, Xunbin Wei*, Xiaohua Qian*. A Causality-Inspired Generalized Model for Automated Pancreatic Cancer Diagnosis. Medical Image Analysis, 94: 103154, 2024.
  • Xinlu Tang#, Chencheng Zhang#, Rui Guo, Xinling Yang*, Xiaohua Qian*. A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. IEEE Transactions on Medical Imaging, 43(1): 229-240, 2024.
  • 2023
  • Xinlu Tang, Rui Guo, Chencheng Zhang, Xiahai Zhuang*, Xiaohua Qian*. A Causality-driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. IEEE Transactions on Medical Imaging, 42(12): 3752-3763, 2023.
  • Jun Li#, Hongzhang Zhu#, Tao Chen*, Xiaohua Qian*. Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. IEEE Journal of Biomedical and Health Informatics, 27(10): 4780-4791, 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 Transactions on Medical Imaging, 42(6): 1656-1667, 2023.
  • Jiaqi Qu, Xunbin Wei*, Xiaohua Qian*. Generalized Pancreatic Cancer Diagnosis via Multiple Instance Learning and Anatomically-Guided Shape Normalization. Medical Image Analysis, 86: 102774, 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 Analysis, 85: 102753, 2023.
  • Xinlu Tang#, Zhanfeng Mo#, Cheng Chang, Xiaohua Qian*. Group-shrinkage feature selection with a spatial network for mining DNA methylation data. Computers in Biology and Medicine, 154: 106573, 2023.
  • Jun Li#, Tao Chen#, Xiaohua Qian*. Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-learning and Latent-space Feature Flow Generation. IEEE Journal of Biomedical and Health Informatics, 27(1): 374-385, 2023.
  • Xiaofan Song#, Jun Li#, Xiaohua Qian*. Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. IEEE Transactions on Medical Imaging, 42(2): 380-390, 2023.
  • 2022
  • Rui Guo, Jie Sun, Chencheng Zhang, Xiaohua Qian*. A Contrastive Graph Convolutional Network for Toe-Tapping Assessment in Parkinson’s Disease. IEEE Transactions on Circuits and Systems for Video Technology, 32(12), 8864-8874, 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 Analysis, 81: 102560, 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 Transactions on Circuits and Systems for Video Technology, 32(9): 6461-6471, 2022.
  • Gaolian Xu, Julien Reboud, Yunfei Guo, Hao Yang, Hongchen Gu, Chunhai Fan*, Xiaohua Qian*, Jonathan M Cooper*. Programmable design of isothermal nucleic acid diagnostic assays through abstraction-based models. Nature communications, 13(1): 1-9, 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 Analysis, 78: 102342, 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: 310-322, 2022.
  • Zhengyu Lin#, Rui Guo#, Chencheng Zhang, Dianyou Li*, Xiaohua Qian*, Bomin Sun*. MDS UPDRS-III item-based rigidity and postural stability score estimations: A data-driven approach. Parkinsonism & related disorders, 94:13-14, 2022.
  • 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 Transactions on Medical Imaging, 41(1): 75-87, 2022.
  • Jun Li, Chaolu Feng, Xiaozhu Lin, Xiaohua Qian*. Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. IEEE Journal of Biomedical and Health Informatics, 26(1): 79-89, 2022.
  • Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian*. Multi-scale Sparse Graph Convolutional Network for the Assessment of Parkinsonian Gait. IEEE Transactions on Multimedia, 24, 2022.
  • 2021
  • 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: 260-271, 2021.
  • Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian*. Pancreas segmentation with probabilistic map guided bi-directional recurrent UNet. Physics in Medicine & Biology, 66(11): 115010, 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 Journal of Biomedical and Health Informatics, 25(8): 3141-3152, 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 Transactions on Medical Imaging, 40(2): 735-747, 2021.
  • Before 2021
  • Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian*. Sparse Adaptive Graph Convolutional Network for Leg Agility Assessment in Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(12): 2837-2848, 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. Journal of Visual Communication and Image Representation, 72: 102880, 2020.
  • Meiyu Li, Hailiang Tang, 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. Medical Physics, 47(3): 1139-1150, 2020.
  • 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 Transactions on Fuzzy Systems, 26(2): 640-655, 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. Artificial intelligence in medicine, 83: 58-66, 2017.
  • Xiaohua Qian, Hua Tan, Jian Zhang, Weilin Zhao, Michael D Chan, Xiaobo Zhou*. Stratification of pseudoprogression and true progression of glioblastoma multiform based on longitudinal diffusion tensor imaging without segmentation. Medical physics, 43(11): 5889-5902, 2016.
  • Xiaohua Qian, Hua Tan, Jian Zhang, Xiahai Zhuang, Leslie Branch, Chaire Sanger, Allison Thompson, Weiling Zhao, King Chuen Li, Lisa David, Xiaobo Zhou*. Objective classification system for sagittal craniosynostosis based on suture segmentation. Medical physics, 42(9): 5545-5558, 2015.
  • Xiaohua Qian, Yuan Lin, Yue Zhao, Jing Wang, Jing Liu, Xiahai Zhuang*. Segmentation of myocardium from cardiac MR images using a novel dynamic programming based segmentation method. Medical physics, 42(3): 1424-1435, 2015.
  • Xiaohua Qian, Jiahui Wang, Shuxu Guo, Qiang Li*. An active contour model for medical image segmentation with application to brain CT image. Medical physics, 40(2): 021911, 2013.
  • Selected Patents
  • Xiaohua Qian, Jun Li; Multimodal medical image segmentation method, system, storage medium and electronic equipment; 2022-08-19, China, ZL202010112491.4.
  • Xiaohua Qian, Rui Guo; Assessment method, system, storage medium and terminal of leg-agility task in Parkinson’s disease; 2022-08-16, China, ZL202010346120.2.
  • Xiaohua Qian, Rui Guo; Assessment method, system and equipment for the severity of gait motor disorder in Parkinson’s disease; 2022-08-02, China, ZL202010116450.2.
  • Xiaohua Qian, Rui Guo; Assessment method, system, storage medium and terminal of toe-tapping task in Parkinson's disease; 2021-09-22, China, CN202111108294.6.
  • Xiaohua Qian, Rui Guo; Assessment method, system, storage medium and terminal of hand-movement task in Parkinson's disease; 2021-09-22, China, CN202111108293.1.
  • Xiaohua Qian, Rui Guo; Assessment method, system, storage medium and terminal of arising-from-chair task in Parkinson's disease; 2021-09-22, China, CN202111106752.2.
  • Xiaohua Qian, Xiahan Chen; Spiral transformation data augmentation method, system, medium and equipment in deep learning; 2020-02-18, China, CN202010098682.X.
  • Xiaohua Qian, Xiahan Chen; Multimodal-based deep learning prediction method, system, medium and equipment; 2020-02-18, China, CN202010098684.9.
  • Xiaohua Qian, Hao Li; Action recognition method, system, storage medium and terminal of finger tapping in Parkinson's disease; 2020-02-17, China, CN202010096791.8.
  • Qiang Li, Xiahai Zhuang, Xiaohua Qian; A method and device for segmentation of left ventricular myocardium; 2019-04-23, China, ZL201410141320.9.