Yong Xia

David Dagan Feng, Yong Xia, Tom Weidong Cai, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis

Yong Xia, Dinggang Shen, Mingxia Liu, 2019, GLMI@MICCAI.

$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis

Yong Xia, Mengkang Lu, Zilin Lu, 2022, MMMI@MICCAI.

Modeling annotator preference and stochastic annotation error for medical image segmentation

Yong Xia, Shishuai Hu, Yutong Xie, 2021, Medical Image Anal..

Deformable medical image registration with global-local transformation network and region similarity constraint

Yibo Yang, Yong Xia, Hengfei Cui, 2023, Computerized Medical Imaging and Graphics.

A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection

Yanning Zhang, Feng Zhang, Yong Xia, 2019, DART/MIL3ID@MICCAI.

Person Re-Identification With Triplet Focal Loss

Qi Zhang, Yanning Zhang, Shizhou Zhang, 2018, IEEE Access.

Pulmonary nodule detection in medical images: A survey

Yanning Zhang, Yong Xia, Hengfei Cui, 2018, Biomed. Signal Process. Control..

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation pdf

Yong Xia, Yutong Xie, Jianpeng Zhang, 2021, ArXiv.

Cell image segmentation using bacterial foraging optimization

Yong Xia, Michael J. Fulham, Yongsheng Pan, 2017, Appl. Soft Comput..

A deformable cosegmentation algorithm for brain MR images

David Dagan Feng, Yong Xia, Tong Zhang, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Pedestrian search in surveillance videos by learning discriminative deep features

Yihong Gong, Yanning Zhang, Yong Xia, 2017, Neurocomputing.

Automated Identification of Dementia Using FDG-PET Imaging

David Dagan Feng, Stefan Eberl, Lingfeng Wen, 2014, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion

Jianchun Li, B. Samali, Yong Xia, 2023, Developments in the Built Environment.

Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation

Yong Xia, Yanning Zhang, Chang Yuwen, 2021, Comput. Biol. Medicine.

GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging

Zhe Zhang, David Dagan Feng, Yong Xia, 2011, IScIDE.

Genetic algorithm-based PCA eigenvector selection and weighting for automated identification of dementia using FDG-PET imaging.

Yong Xia, Stefan Eberl, Lingfeng Wen, 2008, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography pdf

Hongyu Wang, Yong Xia, Yong Xia, 2018, ArXiv.

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features

David Dagan Feng, Michael Fulham, Yutong Xie, 2018, IEEE Journal of Biomedical and Health Informatics.

Affective image classification by jointly using interpretable art features and semantic annotations

Na Li, Yong Xia, Xuan Liu, 2019, J. Vis. Commun. Image Represent..

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification

Dinggang Shen, Yong Xia, Yongsheng Pan, 2019, IEEE Transactions on Image Processing.

Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance

Dong Liang, David Dagan Feng, Shanshan Wang, 2016, IEEE Transactions on Image Processing.

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation

Yanning Zhang, David Dagan Feng, Guangjian Tian, 2011, IEEE Transactions on Information Technology in Biomedicine.

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation

Yong Xia, Jianpeng Zhang, Yiwen Ye, 2022, MICCAI.

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning

Hairong Zheng, Qiegen Liu, Cheng Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging

Yong Xia, Benteng Ma, Yong Xia, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

2D representation of facial surfaces for multi-pose 3D face recognition

Yanning Zhang, David Dagan Feng, Yong Xia, 2012, Pattern Recognit. Lett..

Residual Network based Aggregation Model for Skin Lesion Classification pdf

Yong Xia, Yongsheng Pan, Yong Xia, 2018, ArXiv.

TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation

Yong Xia, Jianpeng Zhang, Shaoteng Zhang, 2022, MLMI@MICCAI.

A robust modified Gaussian mixture model with rough set for image segmentation

Yuhui Zheng, Zexuan Ji, Yong Xia, 2017, Neurocomputing.

Robust generative asymmetric GMM for brain MR image segmentation

Yuhui Zheng, Zexuan Ji, Yong Xia, 2017, Comput. Methods Programs Biomed..

CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images

Hichem Sahli, Zhe Li, Yong Xia, 2019, Cognitive Computation.

Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution

Ruijiang Li, Yong Xia, Mengkang Lu, 2023, IEEE Transactions on Medical Imaging.

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling

Gang Li, D. Shen, P. Yap, 2021, Pattern Recognit..

Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method

David Dagan Feng, Yong Xia, Tong Zhang, 2014, Biomed. Signal Process. Control..

A clonal selection based approach to statistical brain voxel classification in magnetic resonance images

David Dagan Feng, Yong Xia, Tong Zhang, 2014, Neurocomputing.

Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images

David Dagan Feng, Yong Xia, Tong Zhang, 2011, IScIDE.

An Evolutionary HMRF Approach to Brain MR Image Segmentation Using Clonal Selection Algorithm

David Dagan Feng, Yong Xia, D. Feng, 2012 .

Phloretin ameliorates diabetic nephropathy by inhibiting nephrin and podocin reduction through a non-hypoglycemic effect.

Yong Xia, Jia Liu, Xiaopei Cui, 2022, Food & function.

Supervised machine learning for coronary artery lumen segmentation in intravascular ultrasound images

Yanning Zhang, Yong Xia, Hengfei Cui, 2020, International journal for numerical methods in biomedical engineering.

A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography

Yong Yin, Yong Xia, Xiaoyu Bai, 2021, Biomed. Signal Process. Control..

Dynamic feature splicing for few-shot rare disease diagnosis

Yong Xia, Xiaoqing Guo, Yongsheng Pan, 2023, Medical Image Analysis.

Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT

Yanning Zhang, Junjie Zhang, Yong Xia, 2018, IScIDE.

A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency pdf

Yanning Zhang, Junjie Zhang, Yong Xia, 2018, ArXiv.

Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging

Yong Xia, Haozhe Jia, Yuanyuan Chen, 2018, BICS.

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation

Yong Xia, Yutong Xie, Qingjie Zeng, 2023, ArXiv.

An iteratively reweighting algorithm for dynamic video summarization

Shanshan Wang, D. Feng, Yong Xia, 2015, Multimedia Tools and Applications.

α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation

Benteng Ma, Yong Xia, Yaxin Chen, 2020, DART/DCL@MICCAI.

Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation pdf

Yong Xia, Jianpeng Zhang, Shishuai Hu, 2021, ArXiv.

Shape-Guided Dual Consistency Semi-Supervised Learning Framework for 3-D Medical Image Segmentation

A. Nandi, Yong Xia, Tao Lei, 2023, IEEE Transactions on Radiation and Plasma Medical Sciences.

TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation

A. Nandi, Yong Xia, Xiaogang Du, 2023, ArXiv.

Locality constrained encoding of frequency and spatial information for image classification

Weidong (Tom) Cai, Yang Song, Yong Xia, 2018, Multimedia Tools and Applications.

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images

Weidong Cai, Haozhe Jia, Heng Huang, 2020, MICCAI.

2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion

Yanning Zhang, Yong Xia, Hengfei Cui, 2019, IEEE Access.

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Mona G. Flores, V. Kovalev, V. Liauchuk, 2022, Medical Image Analysis.

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT

David Dagan Feng, Yong Xia, Weidong Cai, 2017, MICCAI.

Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images

Jie Wei, Yong Xia, Yong Xia, 2017, DLMIA/ML-CDS@MICCAI.

3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation pdf

Heng Huang, David Dagan Feng, Yong Xia, 2018, ArXiv.

Prostate segmentation in MR images using ensemble deep convolutional neural networks

David Dagan Feng, Yong Xia, Haozhe Jia, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training

Yong Xia, Changyang Li, Xiaoyu Bai, 2023, ArXiv.