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2020 – today
- 2024
[j31]Jiaqi Qu, Xiang Xiao, Xunbin Wei, Xiaohua Qian
:
A causality-inspired generalized model for automated pancreatic cancer diagnosis. Medical Image Anal. 94: 103154 (2024)- [j30]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: 103266 (2024) - [j29]Xinyue Li, Rui Guo, Hongzhang Zhu, Tao Chen, Xiaohua Qian:
A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis. IEEE Trans. Artif. Intell. 5(9): 4675-4685 (2024) - [j28]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): 3687-3699 (2024) - [j27]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: 3991-4001 (2024) - [j26]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): 229-240 (2024) - [c3]Yuyang Quan, Chencheng Zhang, Rui Guo, Xiaohua Qian:
Causality-Informed Fusion Network for Automated Assessment of Parkinsonian Body Bradykinesia. MICCAI (6) 2024: 78-88 - [c2]Jiaqi Qu, Xunbin Wei, Xiaohua Qian:
Generalizable Lymph Node Metastasis Prediction in Pancreatic Cancer. MLMI@MICCAI (1) 2024: 12-21 - 2023
- [j25]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: 106573 (2023) - [j24]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: 102753 (2023) - [j23]Jiaqi Qu, Xunbin Wei, Xiaohua Qian:
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization. Medical Image Anal. 86: 102774 (2023) - [j22]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): 374-385 (2023) - [j21]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): 4780-4791 (2023) - [j20]Xiaofan Song, Jun Li, Xiaohua Qian:
Diagnosis of Glioblastoma Multiforme Progression via Interpretable Structure-Constrained Graph Neural Networks. IEEE Trans. Medical Imaging 42(2): 380-390 (2023) - [j19]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): 1656-1667 (2023) - [j18]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): 3752-3763 (2023) - 2022
- [j17]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) - [j16]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: 102342 (2022) - [j15]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: 102560 (2022) - [j14]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): 6461-6471 (2022) - [j13]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): 8864-8874 (2022) - [j12]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): 79-89 (2022) - [j11]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): 75-87 (2022) - [j10]Rui Guo, Xiangxin Shao, Chencheng Zhang, Xiaohua Qian:
Multi-Scale Sparse Graph Convolutional Network For the Assessment of Parkinsonian Gait. IEEE Trans. Multim. 24: 1583-1594 (2022) - 2021
- [j9]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) - [j8]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): 3141-3152 (2021) - [j7]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): 735-747 (2021) - 2020
- [j6]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: 102880 (2020) - [j5]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): 1435-1450 (2020)
2010 – 2019
- 2019
- [j4]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: 12768-12778 (2019) - [i3]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 abs/1902.06085 (2019) - [i2]Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian:
Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM. CoRR abs/1903.00832 (2019) - [i1]Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian:
Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. CoRR abs/1903.00923 (2019) - 2018
- [j3]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): 640-655 (2018) - 2017
- [j2]Chang-Jian 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: 58-66 (2017) - 2016
- [j1]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: 94-101 (2016) - 2013
- [c1]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: 86702P
Coauthor Index
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