Automated segmentation of brain ventricles in unenhanced CT of patients with ischemic stroke. - Xiaohua Qian; Jiahui Wang; Qiang Li 018 (Computer-Aided Diagnosis, 2013)

Pseudo progression identification of glioblastoma with dictionary learning. - 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 001; et al. (Comput. Biol. Medicine, 2016)

Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs. - Chang-Jian Sun; Shuxu Guo; Huimao Zhang; Jing Li; Meimei Chen; Shuzhi Ma; Lanyi Jin; Xiaoming Liu; Xueyan Li; Xiaohua Qian (Artif. Intell. Medicine, 2017)

Cascaded Hidden Space Feature Mapping, Fuzzy Clustering, and Nonlinear Switching Regression on Large Datasets. - Jun Wang 024; Huan Liu; Xiaohua Qian; Yizhang Jiang; Zhaohong Deng; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2018)

Depth Estimation From a Light Field Image Pair With a Generative Model. - Tao Yan 001; Fan Zhang 063; Yiming Mao 004; Hongbin Yu; Xiaohua Qian; Rynson W. H. Lau (IEEE Access, 2019)

DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet. - Meiyu Li; Michael D. Chan; Xiaobo Zhou 001; Xiaohua Qian (CoRR, 2019)

Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. - Hao Li 097; Jun Li 107; Xiaozhu Lin; Xiaohua Qian (CoRR, 2019)

Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. - Jun Li 107; Xiaozhu Lin; Hui Che; Hao Li 097; Xiaohua Qian (CoRR, 2019)

Transparency-guided ensemble convolutional neural network for the stratification between pseudoprogression and true progression of glioblastoma multiform in MRI. - Xiaoming Liu; Xiaobo Zhou 001; Xiaohua Qian (J. Vis. Commun. Image Represent., 2020)

Generating Stereoscopic Images With Convergence Control Ability From a Light Field Image Pair. - Tao Yan 001; Yiming Mao 004; Jianming Wang; Wenxi Liu; Xiaohua Qian; Rynson W. H. Lau (IEEE Trans. Circuits Syst. Video Technol., 2020)

Automated assessment of Parkinsonian finger-tapping tests through a vision-based fine-grained classification model. - Hao Li 097; Xiangxin Shao; Chencheng Zhang; Xiaohua Qian (Neurocomputing, 2021)

Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease. - Xiaofan Song; Mingyi Mao; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2021)

Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer. - Xiahan Chen; Xiaozhu Lin; Qing Shen; Xiaohua Qian (IEEE Trans. Medical Imaging, 2021)

Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision. - Jun Li 107; Chaolu Feng; Qing Shen; Xiaozhu Lin; Xiaohua Qian (Neurocomputing, 2022)

A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements. - Rui Guo; Hao Li 097; Chencheng Zhang; Xiaohua Qian (Medical Image Anal., 2022)

A dual meta-learning framework based on idle data for enhancing segmentation of pancreatic cancer. - Jun Li 107; Liang Qi; Qingzhong Chen; Yu-Dong Zhang; Xiaohua Qian (Medical Image Anal., 2022)

A Self-Supervised Metric Learning Framework for the Arising-From-Chair Assessment of Parkinsonians With Graph Convolutional Networks. - Rui Guo; Jie Sun; Chencheng Zhang; Xiaohua Qian (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Contrastive Graph Convolutional Network for Toe-Tapping Assessment in Parkinson's Disease. - Rui Guo; Jie Sun; Chencheng Zhang; Xiaohua Qian (IEEE Trans. Circuits Syst. Video Technol., 2022)

Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation. - Jun Li 107; Chaolu Feng; Xiaozhu Lin; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2022)

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation. - Xiahan Chen; Zihao Chen; Jun Li 107; Yu-Dong Zhang; Xiaozhu Lin; Xiaohua Qian (IEEE Trans. Medical Imaging, 2022)

Multi-Scale Sparse Graph Convolutional Network For the Assessment of Parkinsonian Gait. - Rui Guo; Xiangxin Shao; Chencheng Zhang; Xiaohua Qian (IEEE Trans. Multim., 2022)

Generalizable Pancreas Segmentation Modeling in CT Imaging via Meta-Learning and Latent-Space Feature Flow Generation. - Jun Li 107; Tao Chen 057; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2023)

Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. - Xiaofan Song; Jun Li 107; Xiaohua Qian (IEEE Trans. Medical Imaging, 2023)

Group-shrinkage feature selection with a spatial network for mining DNA methylation data. - Xinlu Tang; Zhanfeng Mo; Cheng Chang; Xiaohua Qian (Comput. Biol. Medicine, 2023)

A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer. - Xiahan Chen; Weishen Wang; Yu Jiang; Xiaohua Qian (Medical Image Anal., 2023)

Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization. - Jiaqi Qu; Xunbin Wei; Xiaohua Qian (Medical Image Anal., 2023)

Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. - Xinyue Li; Rui Guo; Jing Lu; Tao Chen 057; Xiaohua Qian (IEEE Trans. Medical Imaging, 2023)

Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework. - Jun Li 107; Hongzhang Zhu; Tao Chen 057; Xiaohua Qian (IEEE J. Biomed. Health Informatics, 2023)

A Causality-Driven Graph Convolutional Network for Postural Abnormality Diagnosis in Parkinsonians. - Xinlu Tang; Rui Guo; Chencheng Zhang; Xiahai Zhuang; Xiaohua Qian (IEEE Trans. Medical Imaging, 2023)

Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia. - Yuyang Quan; Chencheng Zhang; Rui Guo; Xiaohua Qian (MICCAI (6), 2024)

Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer. - Jiaqi Qu; Xunbin Wei; Xiaohua Qian (MLMI@MICCAI (1), 2024)

A causality-inspired generalized model for automated pancreatic cancer diagnosis. - Jiaqi Qu; Xiang Xiao; Xunbin Wei; Xiaohua Qian (Medical Image Anal., 2024)

A causal counterfactual graph neural network for arising-from-chair abnormality detection in parkinsonians. - Xinlu Tang; Rui Guo; Chencheng Zhang; Xiaohua Qian (Medical Image Anal., 2024)

Causality-Enhanced Multiple Instance Learning With Graph Convolutional Networks for Parkinsonian Freezing-of-Gait Assessment. - Rui Guo; Zheng Xie; Chencheng Zhang; Xiaohua Qian (IEEE Trans. Image Process., 2024)

A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians. - Xinlu Tang; Chencheng Zhang; Rui Guo; Xinling Yang; Xiaohua Qian (IEEE Trans. Medical Imaging, 2024)

A Clinically Guided Graph Convolutional Network for Assessment of Parkinsonian Pronation-Supination Movements of Hands. - Zheng Xie; Rui Guo; Chencheng Zhang; Xiaohua Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis. - Xinyue Li; Rui Guo; Hongzhang Zhu; Tao Chen 057; Xiaohua Qian (IEEE Trans. Artif. Intell., 2024)

A Causality-Informed Graph Convolutional Network for Video Assessment of Parkinsonian Leg Agility. - Rui Guo; Linbin Wang; Chencheng Zhang; Lian Gu; Dianyou Li; Xiaohua Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Generalizable Causal-Invariance-Driven Segmentation Model for Peripancreatic Vessels. - Wenli Fu; Huijun Hu; Xinyue Li; Rui Guo; Tao Chen 057; Xiaohua Qian (IEEE Trans. Medical Imaging, 2024)

Automated motor-leg scoring in stroke via a stable graph causality debiasing model. - Rui Guo; Xinyue Li; Miaomiao Xu; Lian Gu; Xiaohua Qian (Medical Image Anal., 2025)

A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans. - Jun Li 107; Yijue Zhang; Haibo Shi; Minhong Li; Qiwei Li; Xiaohua Qian (CoRR, 2025)

A Spatial-Transformation-Based Causality-Enhanced Model for Glioblastoma Progression Diagnosis. - Qiang Li 018; Xinyue Li; Hong Jiang; Xiaohua Qian (IEEE Trans. Artif. Intell., 2025)