Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction. - Yong Xia 001; David Dagan Feng; Rongchun Zhao (VIP, 2003)

Learning-based algorithm selection for image segmentation. - Yong Xia 001; David Dagan Feng; Rongchun Zhao; Maria Petrou (Pattern Recognit. Lett., 2005)

Texture Segmentation by Fuzzy Clustering of Spatial Patterns. - Yong Xia 001; Rongchun Zhao; Yanning Zhang 001; Jian Sun 009; David Dagan Feng (FSKD, 2006)

Morphology-based multifractal estimation for texture segmentation. - Yong Xia 001; David Dagan Feng; Rongchun Zhao (IEEE Trans. Image Process., 2006)

Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model. - Yong Xia 001; David Dagan Feng; Rongchun Zhao (IEEE Trans. Image Process., 2006)

Image segmentation by clustering of spatial patterns. - Yong Xia 001; David Dagan Feng; Tianjiao Wang; Rongchun Zhao; Yanning Zhang 001 (Pattern Recognit. Lett., 2007)

Segmentation of dual modality brain PET/CT images using the MAP-MRF model. - Yong Xia 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; David Dagan Feng (MMSP, 2008)

A General Image Segmentation Model and its Application. - Yong Xia 001; David Dagan Feng (ICIG, 2009)

Segmentation of brain PET-CT images based on adaptive use of complementary information. - Yong Xia 001; Lingfeng Wen; Stefan Eberl; Michael J. Fulham; Dagan Feng 001 (Image Processing, 2009)

Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners. - Jiyong Wang; David Dagan Feng; Yong Xia 001 (DICTA, 2010)

3D face representation and recognition by Intrinsic Shape Description Maps. - Zhe Guo; Yanning Zhang 001; Yong Xia 001; Zenggang Lin; David Dagan Feng (ICASSP, 2010)

Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion. - Yong Xia 001; Stefan Eberl; David Dagan Feng (ICIP, 2010)

Multifractal signature estimation for textured image segmentation. - Yong Xia 001; David Dagan Feng; Rongchun Zhao; Yanning Zhang 001 (Pattern Recognit. Lett., 2010)

Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation. - Jiabin Wang; Yong Xia 001; David Dagan Feng (DICTA, 2011)

Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images. - Jiyong Wang; Yong Xia 001; Jiabin Wang; David Dagan Feng (DICTA, 2011)

Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. - Yong Xia 001; Jiabin Wang; Stefan Eberl; Michael J. Fulham; David Dagan Feng (EMBC, 2011)

Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. - Pei Dong; Yong Xia 001; Li Zhuo 001; David Dagan Feng (ICIP, 2011)

Scalable data center multicast using multi-class Bloom Filter. - Dan Li; Henggang Cui; Yan Hu; Yong Xia 001; Xin Wang 001 (ICNP, 2011)

Local Gaussian Distribution Fitting Based FCM Algorithm for Brain MR Image Segmentation. - Zexuan Ji; Yong Xia 001; Quan-Sen Sun; De-Shen Xia; David Dagan Feng (IScIDE, 2011)

GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging. - Yong Xia 001; Zhe Zhang; Lingfeng Wen; Pei Dong; David Dagan Feng (IScIDE, 2011)

Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images. - Tong Zhang 017; Yong Xia 001; David Dagan Feng (IScIDE, 2011)

QoS-Enabled Dynamic Resource Management in Multi-Cell OFDMA-Based Systems. - Su Yi; Gang Wang; Yong Xia 001 (VTC Spring, 2011)

Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction. - Xiuying Wang 001; Chaoqun Fang; Yong Xia 001; Dagan Feng 001 (Biomed. Signal Process. Control., 2011)

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation. - Guangjian Tian; Yong Xia 001; Yanning Zhang 001; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 2011)

GARDEN: Generic Addressing and Routing for Data Center Networks. - Yan Hu; Ming Zhu; Yong Xia 001; Kai Chen 005; Yanlin Luo (IEEE CLOUD, 2012)

A deformable cosegmentation algorithm for brain MR images. - Tong Zhang 017; Yong Xia 001; David Dagan Feng (EMBC, 2012)

Real-Time Storyboard Generation for H.264/AVC Compressed Videos. - Pei Dong; Yong Xia 001; David Dagan Feng (ICME, 2012)

Fuzzy c-means clustering with weighted image patch for image segmentation. - Zexuan Ji; Yong Xia 001; Qiang Chen 004; Quan-Sen Sun; De-Shen Xia; David Dagan Feng (Appl. Soft Comput., 2012)

Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. - Yong Xia 001; Stefan Eberl; Lingfeng Wen; Michael J. Fulham; David Dagan Feng (Comput. Medical Imaging Graph., 2012)

Generalized rough fuzzy c-means algorithm for brain MR image segmentation. - Zexuan Ji; Quan-Sen Sun; Yong Xia 001; Qiang Chen 004; De-Shen Xia; Dagan Feng 001 (Comput. Methods Programs Biomed., 2012)

Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. - ChangYang Li; Xiuying Wang 001; Yong Xia 001; Stefan Eberl; Yong Yin; David Dagan Feng (Comput. Methods Programs Biomed., 2012)

Gabor feature based nonlocal means filter for textured image denoising. - Shanshan Wang 002; Yong Xia 001; Qiegen Liu; Jianhua Luo; Yuemin Zhu; David Dagan Feng (J. Vis. Commun. Image Represent., 2012)

2D representation of facial surfaces for multi-pose 3D face recognition. - Yanning Zhang 001; Zhe Guo; Yong Xia 001; Zenggang Lin; David Dagan Feng (Pattern Recognit. Lett., 2012)

Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation. - Zexuan Ji; Yong Xia 001; Quan-Sen Sun; Qiang Chen 004; De-Shen Xia; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 2012)

Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints. - Shanshan Wang 002; Yong Xia 001; Pei Dong; David Dagan Feng; Jianhua Luo; Qiu Huang (EMBC, 2013)

Multi-pose 3D face recognition based on 2D sparse representation. - Zhe Guo; Yanning Zhang 001; Yong Xia 001; Zenggang Lin; Yangyu Fan; David Dagan Feng (J. Vis. Commun. Image Represent., 2013)

Discriminative two-level feature selection for realistic human action recognition. - Qiuxia Wu; Zhiyong Wang 001; Feiqi Deng; Yong Xia 001; Wenxiong Kang; David Dagan Feng (J. Vis. Commun. Image Represent., 2013)

Dictionary learning based impulse noise removal via L1-L1 minimization. - Shanshan Wang 002; Qiegen Liu; Yong Xia 001; Pei Dong; Jianhua Luo; Qiu Huang; David Dagan Feng (Signal Process., 2013)

Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. - Shanshan Wang 002; Yong Xia 001; Qiegen Liu; Pei Dong; David Dagan Feng; Jianhua Luo (IEEE Trans. Image Process., 2013)

Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging. - Yong Xia 001; Shen Lu; Wei Wei 008; David Dagan Feng; Yanning Zhang 001 (ICARCV, 2014)

Demographic information prediction based on smartphone application usage. - Zhen Qin 002; Yilei Wang; Yong Xia 001; Hongrong Cheng; Yingjie Zhou 001; Zhengguo Sheng; Victor C. M. Leung (SMARTCOMP, 2014)

Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images. - Yong Xia 001; Yanning Zhang 001 (SPAC, 2014)

Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method. - Tong Zhang 017; Yong Xia 001; David Dagan Feng (Biomed. Signal Process. Control., 2014)

Interval-valued possibilistic fuzzy C-means clustering algorithm. - Zexuan Ji; Yong Xia 001; Quan-Sen Sun; Guo Cao (Fuzzy Sets Syst., 2014)

A clonal selection based approach to statistical brain voxel classification in magnetic resonance images. - Tong Zhang 017; Yong Xia 001; David Dagan Feng (Neurocomputing, 2014)

Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation. - Zexuan Ji; Yong Xia 001; Quan-Sen Sun; Qiang Chen 004; Dagan Feng 001 (Neurocomputing, 2014)

Semi-supervised emotional classification of color images by learning from cloud. - Na Li; Yong Xia 001; Yuwei Xia (ACII, 2015)

Robust saliency detection via regularized random walks ranking. - ChangYang Li; Yuchen Yuan; Weidong Cai 001; Yong Xia 001; David Dagan Feng (CVPR, 2015)

Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging. - Shen Lu; Yong Xia 001; Tom Weidong Cai; David Dagan Feng (EMBC, 2015)

Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation. - Zhe Li 006; Zexuan Ji; Yong Xia 001 (IScIDE (1), 2015)

Active contours driven by local likelihood image fitting energy for image segmentation. - Zexuan Ji; Yong Xia 001; Quan-Sen Sun; Guo Cao; Qiang Chen 004 (Inf. Sci., 2015)

An iteratively reweighting algorithm for dynamic video summarization. - Pei Dong; Yong Xia 001; Shanshan Wang 002; Li Zhuo 001; David Dagan Feng (Multim. Tools Appl., 2015)

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. - Yutong Xie 001; Jianpeng Zhang; Sidong Liu; Weidong Cai 001; Yong Xia 001 (MCV/BAMBI@MICCAI, 2016)

Automated identification of dementia using medical imaging: a survey from a pattern classification perspective. - Chuanchuan Zheng; Yong Xia 001; Yongsheng Pan; Jinhu Chen (Brain Informatics, 2016)

Brain MRI image segmentation based on learning local variational Gaussian mixture models. - Yong Xia 001; Zexuan Ji; Yanning Zhang 001 (Neurocomputing, 2016)

Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. - Fan Zhang 013; Yang Song 001; Weidong Cai 001; Sidong Liu; Siqi Liu 001; Sonia Pujol; Ron Kikinis; Yong Xia 001; Michael J. Fulham; David Dagan Feng (IEEE Trans. Biomed. Eng., 2016)

Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. - Pei Dong; Shanshan Wang 002; Yong Xia 001; Dong Liang 001; David Dagan Feng (IEEE Trans. Image Process., 2016)

Space target recognition based on deep learning. - Haoyue Zeng; Yong Xia 001 (FUSION, 2017)

Dictionary learning-based image compression. - Hao Wang; Yong Xia 001; Zhiyong Wang 001 (ICIP, 2017)

A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging. - Benteng Ma; Yong Xia 001 (ICNC-FSKD, 2017)

Prostate segmentation in MR images using ensemble deep convolutional neural networks. - Haozhe Jia; Yong Xia 001; Tom Weidong Cai; Michael J. Fulham; David Dagan Feng (ISBI, 2017)

Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries. - Hengfei Cui; Yong Xia 001 (IScIDE, 2017)

Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification. - Hongyu Wang 011; Jianpeng Zhang; Yong Xia 001 (IScIDE, 2017)

3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences. - Yan Hu; Yong Xia 001 (BrainLes@MICCAI, 2017)

Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images. - Jie Wei; Yong Xia 001 (DLMIA/ML-CDS@MICCAI, 2017)

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie 001; Yong Xia 001; Jianpeng Zhang; David Dagan Feng; Michael J. Fulham; Weidong Cai 001 (MICCAI (3), 2017)

A tribe competition-based genetic algorithm for feature selection in pattern classification. - Benteng Ma; Yong Xia 001 (Appl. Soft Comput., 2017)

Cell image segmentation using bacterial foraging optimization. - Yongsheng Pan; Yong Xia 001; Tao Zhou 009; Michael J. Fulham (Appl. Soft Comput., 2017)

Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging. - Shen Lu; Yong Xia 001; Weidong Cai 001; Michael J. Fulham; David Dagan Feng (Comput. Medical Imaging Graph., 2017)

Robust generative asymmetric GMM for brain MR image segmentation. - Zexuan Ji; Yong Xia 001; Yuhui Zheng (Comput. Methods Programs Biomed., 2017)

Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning. - Jianpeng Zhang; Yong Xia 001; Qi Wu 001; Yutong Xie 001 (CoRR, 2017)

A robust modified Gaussian mixture model with rough set for image segmentation. - Zexuan Ji; Yubo Huang; Yong Xia 001; Yuhui Zheng (Neurocomputing, 2017)

Brain voxel classification in magnetic resonance images using niche differential evolution based Bayesian inference of variational mixture of Gaussians. - Zhe Li 006; Yong Xia 001; Zexuan Ji; Yanning Zhang 001 (Neurocomputing, 2017)

Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels. - Chen Ding 002; Ying Li 017; Yong Xia 001; Wei Wei 008; Lei Zhang 054; Yanning Zhang 001 (Remote. Sens., 2017)

Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging. - Yuanyuan Chen; Haozhe Jia; Zhaowei Huang; Yong Xia 001 (BICS, 2018)

CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm. - Zhe Li 006; Yong Xia 001; Hichem Sahli (BICS, 2018)

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. - Dongnan Liu; Donghao Zhang; Siqi Liu 001; Yang Song 001; Haozhe Jia; Dagan Feng 001; Yong Xia 001; Weidong Cai 001 (ICIP, 2018)

Cross-cohort dementia identification using transfer learning with FDG-PET imaging. - Shen Lu; Yong Xia 001; Weidong Cai 001; David Dagan Feng; Michael J. Fulham (ISBI, 2018)

Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT. - Junjie Zhang; Zhaowei Huang; Tairan Huang; Yong Xia 001; Yanning Zhang 001 (IScIDE, 2018)

Early Diagnosis of Alzheimer's Disease by Ensemble Deep Learning Using FDG-PET. - Chuanchuan Zheng; Yong Xia 001; Yuanyuan Chen; Xiao-Xia Yin; Yanchun Zhang (IScIDE, 2018)

Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder. - Yan Hu; Xiang Liu; Xin Wen; Chen Niu; Yong Xia 001 (BrainLes@MICCAI (2), 2018)

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Tao Zhou 002; Yong Xia 001; Dinggang Shen (MICCAI (3), 2018)

Multiscale Network Followed Network Model for Retinal Vessel Segmentation. - Yicheng Wu 001; Yong Xia 001; Yang Song 001; Yanning Zhang 001; Weidong Cai 001 (MICCAI (2), 2018)

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. - Donghao Zhang; Yang Song 001; Dongnan Liu; Haozhe Jia; Siqi Liu 001; Yong Xia 001; Heng Huang; Weidong Cai 001 (MICCAI (2), 2018)

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. - Jianpeng Zhang; Yutong Xie 001; Qi Wu 001; Yong Xia 001 (MICCAI (2), 2018)

Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images. - Yicheng Wu 001; Yong Xia 001; Yanning Zhang 001 (PRCV (2), 2018)

Automatic Coronary Centerline Extraction Using Gradient Vector Flow Field and Fast Marching Method From CT Images. - Hengfei Cui; Yong Xia 001 (IEEE Access, 2018)

Person Re-Identification With Triplet Focal Loss. - Shizhou Zhang; Qi Zhang; Xing Wei 001; Yanning Zhang 001; Yong Xia 001 (IEEE Access, 2018)

Pulmonary nodule detection in medical images: A survey. - Junjie Zhang; Yong Xia 001; Hengfei Cui; Yanning Zhang 001 (Biomed. Signal Process. Control., 2018)

Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. - Benteng Ma; Yong Xia 001 (CoRR, 2018)

A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency. - Junjie Zhang; Yong Xia 001; Yanning Zhang 001 (CoRR, 2018)

ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Yong Xia 001 (CoRR, 2018)

3D Global Convolutional Adversarial Network for Prostate MR Volume Segmentation. - Haozhe Jia; Yang Song 001; Donghao Zhang; Heng Huang; Dagan Feng 001; Michael J. Fulham; Yong Xia 001; Weidong Cai 001 (CoRR, 2018)

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001 (CoRR, 2018)

Residual Network based Aggregation Model for Skin Lesion Classification. - Yongsheng Pan; Yong Xia 001 (CoRR, 2018)

Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. - Haozhe Jia; Yong Xia 001; Yang Song 001; Weidong Cai 001; Michael J. Fulham; David Dagan Feng (Neurocomputing, 2018)

Pedestrian search in surveillance videos by learning discriminative deep features. - Shizhou Zhang; De Cheng; Yihong Gong; Dahu Shi; Xi Qiu; Yong Xia 001; Yanning Zhang 001 (Neurocomputing, 2018)

NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection. - Junjie Zhang; Yong Xia 001; Haoyue Zeng; Yanning Zhang 001 (Neurocomputing, 2018)

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Michael J. Fulham; Yanning Zhang 001 (Inf. Fusion, 2018)

Affective image classification via semi-supervised learning from web images. - Na Li; Yong Xia 001 (Multim. Tools Appl., 2018)

Locality constrained encoding of frequency and spatial information for image classification. - Yongsheng Pan; Yong Xia 001; Yang Song 001; Weidong Cai 001 (Multim. Tools Appl., 2018)

VBI-MRF model for image segmentation. - Yong Xia 001; Zhe Li 006 (Multim. Tools Appl., 2018)

Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound. - Hengfei Cui; Yong Xia 001; Yanning Zhang 001; Liang Zhong 001 (Mach. Vis. Appl., 2018)

Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification. - Chen Ding 002; Ying Li 017; Yong Xia 001; Lei Zhang 054; Yanning Zhang 001 (Remote. Sens., 2018)

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. - Jianpeng Zhang; Yong Xia 001; Yutong Xie 001; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2018)

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. - Donghao Zhang; Yang Song 001; Dongnan Liu; Chaoyi Zhang; Yicheng Wu 001; Heng Wang 007; Fan Zhang 013; Yong Xia 001; Lauren J. O'Donnell; Weidong Cai 001 (Australasian Conference on Artificial Intelligence, 2019)

MSA-Net: Multiscale Spatial Attention Network for the Classification of Breast Histology Images. - Zhanbo Yang; Lingyan Ran; Yong Xia 001; Yanning Zhang 001 (BICS, 2019)

Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation. - Guojing Zhao; Jianpeng Zhang; Yong Xia 001 (BrainLes@MICCAI (2), 2019)

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. - Jianpeng Zhang; Yutong Xie 001; Pingping Zhang; Hao Chen 041; Yong Xia 001; Chunhua Shen (IJCAI, 2019)

Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images. - Hengfei Cui; Yong Xia 001; Yanning Zhang 001 (IScIDE (1), 2019)

Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation. - Yang Su; Jie Wei; Benteng Ma; Yong Xia 001; Yanning Zhang 001 (IScIDE (1), 2019)

HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yang Song 001; Heng Huang; Weidong Cai 001; Yong Xia 001 (MICCAI (2), 2019)

Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. - Yongsheng Pan; Mingxia Liu 001; Li Wang 026; Yong Xia 001; Dinggang Shen (GLMI@MICCAI, 2019)

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Yong Xia 001; Dinggang Shen (MICCAI (3), 2019)

Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. - Yicheng Wu 001; Yong Xia 001; Yang Song 001; Donghao Zhang; Dongnan Liu; Chaoyi Zhang; Weidong Cai 001 (MICCAI (1), 2019)

Deep Segmentation-Emendation Model for Gland Instance Segmentation. - Yutong Xie 001; Hao Lu 003; Jianpeng Zhang; Chunhua Shen; Yong Xia 001 (MICCAI (1), 2019)

A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. - Feng Zhang; Yutong Xie 001; Yong Xia 001; Yanning Zhang 001 (DART/MIL3ID@MICCAI, 2019)

An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs. - Jingyi Zhang; Yong Xia 001; Yanning Zhang 001 (MIUA, 2019)

DAEimp: Denoising Autoencoder-Based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases. - Xiaoyun Dong; Jingjing Zhang; Gang Wang; Yong Xia 001 (PRCV (1), 2019)

2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion. - Hengfei Cui; Yong Xia 001; Yanning Zhang 001 (IEEE Access, 2019)

GA-SVM based feature selection and parameter optimization in hospitalization expense modeling. - Tao Zhou 009; Huiling Lu; Wenwen Wang; Yong Xia 001 (Appl. Soft Comput., 2019)

CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images. - Zhe Li 006; Yong Xia 001; Hichem Sahli (Cogn. Comput., 2019)

Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (CoRR, 2019)

EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images. - Zhanbo Yang; Lingyan Ran; Shizhou Zhang; Yong Xia 001; Yanning Zhang 001 (Neurocomputing, 2019)

Affective image classification by jointly using interpretable art features and semantic annotations. - Xuan Liu; Na Li; Yong Xia 001 (J. Vis. Commun. Image Represent., 2019)

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001 (Medical Image Anal., 2019)

Medical image classification using synergic deep learning. - Jianpeng Zhang; Yutong Xie 001; Qi Wu 001; Yong Xia 001 (Medical Image Anal., 2019)

Fast-Convergent Fully Connected Deep Learning Model Using Constrained Nodes Input. - Chen Ding 002; Ying Li 017; Lei Zhang 054; Jinyang Zhang; Lu Yang 016; Wei Wei 008; Yong Xia 001; Yanning Zhang 001 (Neural Process. Lett., 2019)

M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation. - Jie Wei; Yong Xia 001; Yanning Zhang 001 (Pattern Recognit., 2019)

Normalized Non-Negative Sparse Encoder for Fast Image Representation. - Shizhou Zhang; Jinjun Wang; Weiwei Shi 003; Yihong Gong; Yong Xia 001; Yanning Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification. - Yongsheng Pan; Yong Xia 001; Dinggang Shen (IEEE Trans. Image Process., 2019)

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie 001; Yong Xia 001; Jianpeng Zhang; Yang Song 001; Dagan Feng 001; Michael J. Fulham; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2019)

Attention Residual Learning for Skin Lesion Classification. - Jianpeng Zhang; Yutong Xie 001; Yong Xia 001; Chunhua Shen (IEEE Trans. Medical Imaging, 2019)

H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (BrainLes@MICCAI (2), 2020)

Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction. - Guojing Zhao; Bowen Jiang; Jianpeng Zhang; Yong Xia 001 (BrainLes@MICCAI (1), 2020)

7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. - Jie Wei; Duc Toan Bui 001; Zhengwang Wu; Li Wang 026; Yong Xia 001; Gang Li 001; Dinggang Shen (ISBI, 2020)

α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. - Yaxin Chen; Benteng Ma; Yong Xia 001 (DART/DCL@MICCAI, 2020)

Boundary-Aware Network for Kidney Tumor Segmentation. - Shishuai Hu; Jianpeng Zhang; Yong Xia 001 (MLMI@MICCAI, 2020)

Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Weidong Cai 001; Heng Huang (MICCAI (4), 2020)

Pairwise Relation Learning for Semi-supervised Gland Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (MICCAI (5), 2020)

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. - Jianpeng Zhang; Yutong Xie 001; Zhibin Liao; Johan Verjans; Yong Xia 001 (MyoPS@MICCAI, 2020)

Retinal Image Quality Assessment via Specific Structures Segmentation. - Xinqiang Zhou; Yicheng Wu 001; Yong Xia 001 (OMIA@MICCAI, 2020)

Auto Learning Attention. - Benteng Ma; Jing Zhang 037; Yong Xia 001; Dacheng Tao (NeurIPS, 2020)

COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. - Jianpeng Zhang; Yutong Xie 001; Yi Li; Chunhua Shen; Yong Xia 001 (CoRR, 2020)

Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. - Yicheng Wu 001; Chengwei Pan; Shuqi Wang; Ming Zhang 004; Yong Xia 001; Yizhou Yu (CoRR, 2020)

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zehui Liao; Yong Xia 001; Chunhua Shen (CoRR, 2020)

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. - Bolin Lai; Xiaoyu Bai; Yuhsuan Wu; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (CoRR, 2020)

H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (CoRR, 2020)

Autonomous deep learning: A genetic DCNN designer for image classification. - Benteng Ma; Xiang Li; Yong Xia 001; Yanning Zhang 001 (Neurocomputing, 2020)

NFN＋: A novel network followed network for retinal vessel segmentation. - Yicheng Wu 001; Yong Xia 001; Yang Song 001; Yanning Zhang 001; Weidong Cai 001 (Neural Networks, 2020)

Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. - Hongyu Wang 011; Haozhe Jia; Le Lu 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2020)

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. - Haozhe Jia; Yong Xia 001; Yang Song 001; Donghao Zhang; Heng Huang; Yanning Zhang 001; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2020)

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Yong Xia 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (IEEE Trans. Medical Imaging, 2020)

Learning Synergistic Attention for Light Field Salient Object Detection. - Yi Zhang 076; Geng Chen 001; Qian Chen; Yujia Sun; Yong Xia 001; Olivier Déforges; Wassim Hamidouche; Lu Zhang 037 (BMVC, 2021)

HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. - Haozhe Jia; Chao Bai; Weidong Cai 001; Heng Huang; Yong Xia 001 (BrainLes@MICCAI (2), 2021)

BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. - Qinfen Wang; Siyuan Ren; Yong Xia 001; Longbing Cao (CIKM, 2021)

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. - Mengkang Lu; Yongsheng Pan; Dong Nie; Feihong Liu; Feng Shi 001; Yong Xia 001; Dinggang Shen (COMPAY@MICCAI, 2021)

DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. - Jianpeng Zhang; Yutong Xie 001; Yong Xia 001; Chunhua Shen (CVPR, 2021)

Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging. - Yunlong He; Lihui Wang 002; Feng Yang 010; Yong Xia 001; Patrick Clarysse; Yuemin Zhu (FIMH, 2021)

Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation. - Yan Hu; Erik Meijering; Yong Xia 001; Yang Song 001 (ICONIP (6), 2021)

Ultimate Reconstruction: Understand Your Bones From Orthogonal Views. - Yongsheng Pan; Yong Xia 001 (ISBI, 2021)

CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization. - Ziyang Chen 003; Yongsheng Pan; Yong Xia 001 (OMIA@MICCAI, 2021)

Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. - Bolin Lai; Yuhsuan Wu; Xiaoyu Bai; Xiaoyun Zhou 001; Peng Wang; Jinzheng Cai; Yuankai Huo; Lingyun Huang; Yong Xia 001; Jing Xiao 006; Le Lu 001; Heping Hu; et al. (PRIME@MICCAI, 2021)

Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. - Yongsheng Pan; Yuanyuan Chen; Dinggang Shen; Yong Xia 001 (MICCAI (5), 2021)

Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. - Yongsheng Pan; Jingyu Huang; Bao Wang; Peng Zhao; Yingchao Liu; Yong Xia 001 (SASHIMI@MICCAI, 2021)

Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. - Zelin Qiu; Yongsheng Pan; Jie Wei; Dijia Wu; Yong Xia 001; Dinggang Shen (MICCAI (5), 2021)

Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. - Jie Wei; Yongsheng Pan; Yong Xia 001; Dinggang Shen (MLMI@MICCAI, 2021)

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. - Jie Wei; Feng Shi 001; Zhiming Cui; Yongsheng Pan; Yong Xia 001; Dinggang Shen (MICCAI (1), 2021)

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. - Yutong Xie 001; Jianpeng Zhang; Chunhua Shen; Yong Xia 001 (MICCAI (3), 2021)

Transfer Learning for KiTS21 Challenge. - Xi Yang; Jianpeng Zhang; Jing Zhang 037; Yong Xia 001 (KiTS@MICCAI, 2021)

A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography. - Xiaoyu Bai; Yan Hu; Guanzhong Gong; Yong Yin; Yong Xia 001 (Biomed. Signal Process. Control., 2021)

View adaptive learning for pancreas segmentation. - Yan Wang 033; Jianpeng Zhang; Hengfei Cui; Yanning Zhang 001; Yong Xia 001 (Biomed. Signal Process. Control., 2021)

Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation. - Hengfei Cui; Chang Yuwen; Lei Jiang 015; Yong Xia 001; Yanning Zhang 001 (Comput. Biol. Medicine, 2021)

Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images. - Hengfei Cui; Chang Yuwen; Lei Jiang 015; Yong Xia 001; Yanning Zhang 001 (Comput. Methods Programs Biomed., 2021)

Boundary-aware Graph Reasoning for Semantic Segmentation. - Haoteng Tang; Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001; Liang Zhan (CoRR, 2021)

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Tom Weidong Cai; Heng Huang; Liang Zhan; Yong Xia 001 (CoRR, 2021)

Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Jianpeng Zhang; Yong Xia 001 (CoRR, 2021)

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation. - Yicheng Wu 001; Zongyuan Ge; Donghao Zhang; Minfeng Xu; Lei Zhang 095; Yong Xia 001; Jianfei Cai 001 (CoRR, 2021)

Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (CoRR, 2021)

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (CoRR, 2021)

Anomaly Detection of Hyperspectral Image via Tensor Completion. - Jingxuan Wang; Yong Xia 001; Yanning Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2021)

Triple attention learning for classification of 14 thoracic diseases using chest radiography. - Hongyu Wang 011; Shanshan Wang 002; Zibo Qin; Yanning Zhang 001; Ruijiang Li; Yong Xia 001 (Medical Image Anal., 2021)

Iterative sparse and deep learning for accurate diagnosis of Alzheimer's disease. - Yuanyuan Chen; Yong Xia 001 (Pattern Recognit., 2021)

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. - Cheng Li 008; Jingxu Xu; Qiegen Liu; Yongjin Zhou 002; Lisha Mou; Zuhui Pu; Yong Xia 001; Hairong Zheng; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. - Yongjin Zhou 002; Weijian Huang; Pei Dong; Yong Xia 001; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images. - Zhe Li 006; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2021)

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. - Yutong Xie 001; Jianpeng Zhang; Hao Lu 003; Chunhua Shen; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. - Jianpeng Zhang; Yutong Xie 001; Guansong Pang; Zhibin Liao; Johan Verjans; Wenxing Li; Zongji Sun; Jian He; Yi Li; Chunhua Shen; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. - Jianpeng Zhang; Yutong Xie 001; Yan Wang 033; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. - Yu Feng; Benteng Ma; Jing Zhang 037; Shanshan Zhao 001; Yong Xia 001; Dacheng Tao (CVPR, 2022)

UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (ECCV (21), 2022)

Encoding Deep Residual Features into Fisher Vector for Skin Lesion Classification. - Hangyu Hu; Ziyang Chen 003; Yong Xia 001 (EMBC, 2022)

Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. - Yuanyuan Chen; Xiaoqing Guo; Yong Xia 001; Yixuan Yuan (MICCAI (3), 2022)

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. - Geng Chen 001; Haotian Jiang; Jiannan Liu; Jiquan Ma; Hui Cui 002; Yong Xia 001; Pew-Thian Yap (MICCAI (1), 2022)

Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (MICCAI (8), 2022)

Boundary-Aware Network for Kidney Parsing. - Shishuai Hu; Zehui Liao; Yiwen Ye; Yong Xia 001 (CuRIOUS/KiPA/MELA@MICCAI, 2022)

Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation. - Lei Jiang 015; Yan Li 129; Yifan Wang; Hengfei Cui; Yong Xia 001; Yanning Zhang 001 (LAScarQS@MICCAI, 2022)

$ mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis. - Zilin Lu; Mengkang Lu; Yong Xia 001 (MMMI@MICCAI, 2022)

DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation. - Yiwen Ye; Jianpeng Zhang; Ziyang Chen 003; Yong Xia 001 (MICCAI (4), 2022)

TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation. - Shaoteng Zhang; Jianpeng Zhang; Yong Xia 001 (MLMI@MICCAI, 2022)

Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring. - Zhaohui Jing; Youjian Zhang; Chaoyue Wang; Daqing Liu; Yong Xia 001 (ACM Multimedia, 2022)

Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images. - Hengfei Cui; Yan Li 129; Lei Jiang 015; Yifan Wang; Yong Xia 001; Yanning Zhang 001 (Comput. Biol. Medicine, 2022)

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Anton van den Hengel; Qi Wu 001 (CoRR, 2022)

Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

Boundary-Aware Network for Abdominal Multi-Organ Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (CoRR, 2022)

Instance-specific Label Distribution Regularization for Learning with Label Noise. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (CoRR, 2022)

Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images. - Hengfei Cui; Lei Jiang 015; Chang Yuwen; Yong Xia 001; Yanning Zhang 001 (Knowl. Based Syst., 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Mutual consistency learning for semi-supervised medical image segmentation. - Yicheng Wu 001; Zongyuan Ge; Donghao Zhang; Minfeng Xu; Lei Zhang 095; Yong Xia 001; Jianfei Cai 001 (Medical Image Anal., 2022)

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. - Yongsheng Pan; Ming-Xia Liu 001; Yong Xia 001; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning multi-scale synergic discriminative features for prostate image segmentation. - Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001 (Pattern Recognit., 2022)

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. - Jie Wei; Zhengwang Wu; Li Wang 026; Toan Duc Bui; Liangqiong Qu; Pew-Thian Yap; Yong Xia 001; Gang Li 001; Dinggang Shen (Pattern Recognit., 2022)

Dynamic Negative Sampling Autoencoder for Hyperspectral Anomaly Detection. - Jingxuan Wang; Jinqiu Sun; Yong Xia 001; Yanning Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Matrix Autoregressive Model for Hyperspectral Anomaly Detection. - Jingxuan Wang; Jinqiu Sun; Yu Zhu 004; Yong Xia 001; Yanning Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. - Yutong Xie 001; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (IEEE Trans. Image Process., 2022)

MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation. - Yiwen Ye; Chengwei Pan; Yicheng Wu 001; Shuqi Wang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2022)

SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. - Huimin Zhao 001; Zhenyu Fang; Jinchang Ren; Calum MacLellan; Yong Xia 001; Shuo Li 001; Meijun Sun; Kevin Ren (IEEE J. Biomed. Health Informatics, 2022)

Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. - Zehui Liao; Yutong Xie 001; Shishuai Hu; Yong Xia 001 (IEEE Trans. Medical Imaging, 2022)

PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Yong Xia 001 (CVPR, 2023)

URL: Combating Label Noise for Lung Nodule Malignancy Grading. - Xianze Ai; Zehui Liao; Yong Xia 001 (DALI@MICCAI, 2023)

Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Hengfei Cui; Yong Xia 001 (MICCAI (4), 2023)

Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. - Qingbiao Guan; Yutong Xie 001; Bing Yang; Jianpeng Zhang; Zhibin Liao; Qi Wu 001; Yong Xia 001 (MICCAI (3), 2023)

Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Yong Xia 001 (MICCAI (4), 2023)

Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. - Zhe Li 006; Yuming Jiang 005; Leon Liu; Yong Xia 001; Ruijiang Li (AMAI@MICCAI, 2023)

Transformer-Based Annotation Bias-Aware Medical Image Segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (MICCAI (4), 2023)

Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis. - Mengkang Lu; Tianyi Wang; Yong Xia 001 (MICCAI (6), 2023)

Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. - Yongsheng Pan; Feihong Liu; Caiwen Jiang; Jiawei Huang; Yong Xia 001; Dinggang Shen (MICCAI (10), 2023)

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. - Yutong Xie 001; Lin Gu 003; Tatsuya Harada; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (MICCAI (1), 2023)

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. - Junqing Yang; Haotian Jiang; Tewodros Tassew; Peng Sun; Jiquan Ma; Yong Xia 001; Pew-Thian Yap; Geng Chen 001 (MICCAI (8), 2023)

UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. - Yiwen Ye; Yutong Xie 001; Jianpeng Zhang; Ziyang Chen 003; Yong Xia 001 (MICCAI (3), 2023)

PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. - Zheng Yu 004; Yutong Xie 001; Yong Xia 001; Qi Wu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. - Shaoteng Zhang; Jianpeng Zhang; Yutong Xie 001; Yong Xia 001 (MICCAI (1), 2023)

An End-to-End Framework For Universal Lesion Detection With Missing Annotations. - Xiaoyu Bai; Yong Xia 001 (CoRR, 2023)

Attention Mechanisms in Medical Image Segmentation: A Survey. - Yutong Xie 001; Bing Yang; Qingbiao Guan; Jianpeng Zhang; Qi Wu 001; Yong Xia 001 (CoRR, 2023)

TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation. - Tao Lei; Rui Sun; Yong Wan; Yong Xia 001; Xiaogang Du; Asoke K. Nandi (CoRR, 2023)

SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference. - Xiaoyu Bai; Yong Xia 001 (CoRR, 2023)

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. - Nicholas Heller; Fabian Isensee; Dasha Trofimova; Resha Tejpaul; Zhongchen Zhao; Huai Chen; Lisheng Wang; Alex Golts; Daniel Khapun; Daniel Shats; Yoel Shoshan; Flora Gilboa-Solomon; et al. (CoRR, 2023)

Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training. - Xiaoyu Bai; Benteng Ma; Changyang Li; Yong Xia 001 (CoRR, 2023)

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Mengkang Lu; Yong Xia 001 (CoRR, 2023)

SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Jingjing Lu; Xianghua Ye; Ke Yan 006; Yong Xia 001 (CoRR, 2023)

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. - Jiayi Chen; Benteng Ma; Hengfei Cui; Yong Xia 001; Kwang-Ting Cheng (CoRR, 2023)

Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation. - Wenxi Yue; Jing Zhang 037; Kun Hu; Qiuxia Wu; Zongyuan Ge; Yong Xia 001; Jiebo Luo 001; Zhiyong Wang 001 (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Jianpeng Zhang; Yong Xia 001 (IEEE Trans. Medical Imaging, 2023)

Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains. - Hongyu Wang 011; Yong Xia 001 (Biomed. Signal Process. Control., 2023)

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Weidong Cai 001; Heng Huang; Liang Zhan; Yong Xia 001 (Comput. Biol. Medicine, 2023)

BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. - Qinfen Wang; Geng Chen 001; Xuting Jin; Siyuan Ren; Gang Wang; Longbing Cao; Yong Xia 001 (Comput. Biol. Medicine, 2023)

DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions. - Ibtihaj Ahmad; Yong Xia 001; Hengfei Cui; Zain Ul Islam (Expert Syst. Appl., 2023)

Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation. - Jingxuan Wang; Jinqiu Sun; Yong Xia 001; Yanning Zhang 001 (IET Image Process., 2023)

AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism. - Ibtihaj Ahmad; Yong Xia 001; Hengfei Cui; Zain Ul Islam (Comput. Biol. Medicine, 2023)

Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2023)

An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation. - Hengfei Cui; Yifan Wang; Yan Li 129; Di Xu; Lei Jiang 015; Yong Xia 001; Yanning Zhang 001 (IEEE J. Biomed. Health Informatics, 2023)

Adaptive decoder-block selection with filter reweighting for medical image segmentation. - Yaxin Chen; Benteng Ma; Yong Xia 001 (Biomed. Signal Process. Control., 2023)

Deformable medical image registration with global-local transformation network and region similarity constraint. - Xinke Ma; Hengfei Cui; Shuoyan Li; Yibo Yang; Yong Xia 001 (Comput. Medical Imaging Graph., 2023)

Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. - Zhe Li 006; Yuming Jiang 005; Mengkang Lu; Ruijiang Li; Yong Xia 001 (IEEE Trans. Medical Imaging, 2023)

Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. - Wenxi Yue; Hongen Liao; Yong Xia 001; Vincent Lam; Jiebo Luo 001; Zhiyong Wang 001 (IEEE Trans. Medical Imaging, 2023)

Inter-layer transition in neural architecture search. - Benteng Ma; Jing Zhang 037; Yong Xia 001; Dacheng Tao (Pattern Recognit., 2023)

Hierarchical cumulative network for unsupervised medical image registration. - Xinke Ma; Jiang He; Xing Liu; Qin Liu; Geng Chen 001; Bo Yuan; Changyang Li; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Dynamic feature splicing for few-shot rare disease diagnosis. - Yuanyuan Chen; Xiaoqing Guo; Yongsheng Pan; Yong Xia 001; Yixuan Yuan (Medical Image Anal., 2023)

Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Federated adaptive reweighting for medical image classification. - Benteng Ma; Yu Feng; Geng Chen 001; Changyang Li; Yong Xia 001 (Pattern Recognit., 2023)

Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. - Yuanyuan Chen; Yongsheng Pan; Yong Xia 001; Yixuan Yuan (IEEE Trans. Medical Imaging, 2023)

SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. - Wenxi Yue; Jing Zhang 037; Kun Hu; Yong Xia 001; Jiebo Luo 001; Zhiyong Wang 001 (AAAI, 2024)

Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior. - Geng Chen 001; Hao Yang 032; Runlin Zhang; Musa Bakarr; Yong Xia 001; Pew-Thian Yap (BIBM, 2024)

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. - Jiayi Chen; Benteng Ma; Hengfei Cui; Yong Xia 001 (CVPR, 2024)

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Mengkang Lu; Yong Xia 001 (CVPR, 2024)

PairAug: What Can Augmented Image-Text Pairs Do for Radiology? - Yutong Xie 001; Qi Chen 014; Sinuo Wang; Minh-Son To; Iris Lee; Ee Win Khoo; Kerolos Hendy; Daniel Koh; Yong Xia 001; Qi Wu 001 (CVPR, 2024)

Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. - Yiwen Ye; Yutong Xie 001; Jianpeng Zhang; Ziyang Chen 003; Qi Wu 001; Yong Xia 001 (CVPR, 2024)

GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification. - Xianze Ai; Zehui Liao; Yong Xia 001 (UNSURE@MICCAI, 2024)

Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation Task. - Xiaoyu Bai; Ziyang Chen 003; Shaoteng Zhang; Qin Liu; Xing Liu; Yong Xia 001 (FLARE@MICCAI, 2024)

Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation. - Ziyang Chen 003; Xiaoyu Bai; Zhisong Wang; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (FLARE@MICCAI, 2024)

FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation. - Jiayi Chen; Benteng Ma; Hengfei Cui; Yong Xia 001 (MICCAI (10), 2024)

Spot the Difference: Difference Visual Question Answering with Residual Alignment. - Zilin Lu; Yutong Xie 001; Qingjie Zeng; Mengkang Lu; Qi Wu 001; Yong Xia 001 (MICCAI (5), 2024)

Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning. - Yuexuan Xia; Benteng Ma; Qi Dou 001; Yong Xia 001 (MICCAI (10), 2024)

Reciprocal Collaboration for Semi-supervised Medical Image Classification. - Qingjie Zeng; Zilin Lu; Yutong Xie 001; Mengkang Lu; Xinke Ma; Yong Xia 001 (MICCAI (11), 2024)

DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation. - Yihang Fu; Ziyang Chen 003; Yiwen Ye; Yong Xia 001 (MLMI@MICCAI (1), 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer. - Geng Chen 001; Junqing Yang; Xiaozhou Pu; Ge-Peng Ji; Huan Xiong; Yongsheng Pan; Hengfei Cui; Yong Xia 001 (CoRR, 2024)

Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Zeyou Liu; Yong Xia 001 (CoRR, 2024)

Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification. - Zehui Liao; Shishuai Hu; Yong Xia 001 (CoRR, 2024)

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels. - Zhisong Wang; Yiwen Ye; Ziyang Chen 003; Minglei Shu; Yong Xia 001 (CoRR, 2024)

Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training. - Xingliang Lei; Yiwen Ye; Ziyang Chen 003; Minglei Shu; Yong Xia 001 (CoRR, 2024)

MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model. - Yiwen Ye; Ziyang Chen 003; Jianpeng Zhang; Yutong Xie 001; Yong Xia 001 (CoRR, 2024)

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation. - Ziyang Chen 003; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation. - Yihang Fu; Ziyang Chen 003; Yiwen Ye; Xingliang Lei; Zhisong Wang; Yong Xia 001 (CoRR, 2024)

A Survey of Medical Vision-and-Language Applications and Their Techniques. - Qi Chen 014; Ruoshan Zhao; Sinuo Wang; Vu Minh Hieu Phan; Anton van den Hengel; Johan Verjans; Zhibin Liao; Minh-Son To; Yong Xia 001; Jian Chen 011; Yutong Xie 001; Qi Wu 001 (CoRR, 2024)

Meta Curvature-Aware Minimization for Domain Generalization. - Ziyang Chen 003; Yiwen Ye; Feilong Tang; Yongsheng Pan; Yong Xia 001 (CoRR, 2024)

Rethinking masked image modelling for medical image representation. - Yutong Xie 001; Lin Gu 003; Tatsuya Harada; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (Medical Image Anal., 2024)

Momentum recursive DARTS. - Benteng Ma; Yanning Zhang 001; Yong Xia 001 (Pattern Recognit., 2024)

Fusion-Embedding Siamese Network for Light Field Salient Object Detection. - Geng Chen 001; Huazhu Fu; Tao Zhou 002; Guobao Xiao; Keren Fu; Yong Xia 001; Yanning Zhang 001 (IEEE Trans. Multim., 2024)

A human-in-the-loop method for pulmonary nodule detection in CT scans. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Yong Xia 001 (Vis. Intell., 2024)

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. - Yutong Xie 001; Jianpeng Zhang; Lingqiao Liu; Hu Wang 005; Yiwen Ye; Johan Verjans; Yong Xia 001 (Medical Image Anal., 2024)

Modeling annotator preference and stochastic annotation error for medical image segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (Medical Image Anal., 2024)

Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis. - Yuanyuan Chen; Xiaoqing Guo; Yong Xia 001; Yixuan Yuan (IEEE Trans. Medical Imaging, 2024)

Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification. - Hongyu Wang 011; Jiang He; Hengfei Cui; Bo Yuan; Yong Xia 001 (IEEE Trans. Medical Imaging, 2024)

Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation. - Hengfei Cui; Yan Li 129; Yifan Wang; Di Xu; Lianming Wu; Yong Xia 001 (IEEE Trans. Medical Imaging, 2024)

VNAS: Variational Neural Architecture Search. - Benteng Ma; Jing Zhang 037; Yong Xia 001; Dacheng Tao (Int. J. Comput. Vis., 2024)

TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Zhiyong Wang 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. - Xiaoyu Bai; Geng Chen 001; Benteng Ma; Changyang Li; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data. - Yutong Xie 001; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. - Ziyang Chen 003; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (AAAI, 2025)

Advances in attention mechanisms for medical image segmentation. - Jianpeng Zhang; Xiaomin Chen; Bing Yang; Qingbiao Guan; Qi Chen 014; Jian Chen 011; Qi Wu 001; Yutong Xie 001; Yong Xia 001 (Comput. Sci. Rev., 2025)

UAE: Universal Anatomical Embedding on multi-modality medical images. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Jingjing Lu; Xianghua Ye; Minglei Shu; Ke Yan 006; Yong Xia 001 (Medical Image Anal., 2025)

Unleashing the potential of open-set noisy samples against label noise for medical image classification. - Zehui Liao; Shishuai Hu; Yanning Zhang 001; Yong Xia 001 (Medical Image Anal., 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images. - Ching-Wei Wang; Nabila Puspita Firdi; Tzu-Chiao Chu; Mohammad Faiz Iqbal Faiz; Mohammad Zafar Iqbal; Yifan Li; Bo Yang; Mayur Mallya; Ali Bashashati; Fei Li; Haipeng Wang; Mengkang Lu; et al. (Medical Image Anal., 2025)

Contrastive Neuron Pruning for Backdoor Defense. - Yu Feng; Benteng Ma; Dongnan Liu; Yanning Zhang 001; Tom Weidong Cai; Yong Xia 001 (IEEE Trans. Image Process., 2025)

CADS: A Self-Supervised Learner via Cross-Modal Alignment and Deep Self-Distillation for CT Volume Segmentation. - Yiwen Ye; Jianpeng Zhang; Ziyang Chen 003; Yong Xia 001 (IEEE Trans. Medical Imaging, 2025)

Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Mengkang Lu; Jingfeng Zhang; Yong Xia 001 (IEEE Trans. Medical Imaging, 2025)

EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. - Geng Chen 001; Qingyue Wang; Bo Dong 001; Ruitao Ma; Nian Liu; Huazhu Fu; Yong Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. - Tianyi Wang; Jianan Fan; Dingxin Zhang 001; Dongnan Liu; Yong Xia 001; Heng Huang; Tom Weidong Cai (CoRR, 2025)

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness. - Yu Feng; Dingxin Zhang 001; Runkai Zhao; Yong Xia 001; Heng Huang; Tom Weidong Cai (CoRR, 2025)

Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach. - Yong Xia 001; Guangming Shi; Ping Zhang 003 (CoRR, 2025)

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. - Zehui Liao; Shishuai Hu; Ke Zou; Huazhu Fu; Liangli Zhen; Yong Xia 001 (CoRR, 2025)

Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. - Yang Hu; Yuanyuan Chen; Xiaohan Xing; Jingfeng Zhang; Bolysbek Murat Yerzhanuly; Bazargul Matkerim; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)

Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation. - Zhisong Wang; Yiwen Ye; Ziyang Chen 003; Yong Xia 001 (CoRR, 2025)

Robust Federated Learning against Model Perturbation in Edge Networks. - Dongzi Jin; Yong Xia 001; Yingyu Li (CoRR, 2025)

Instance-dependent Label Distribution Estimation for Learning with Label Noise. - Zehui Liao; Shishuai Hu; Yutong Xie 001; Yong Xia 001 (Int. J. Comput. Vis., 2025)

Draw Sketch, Draw Flesh: Whole-Body Computed Tomography from Any X-Ray Views. - Yongsheng Pan; Yiwen Ye; Yanning Zhang 001; Yong Xia 001; Dinggang Shen (Int. J. Comput. Vis., 2025)

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network. - Xinke Ma; Yongsheng Pan; Qingjie Zeng; Mengkang Lu; Bolysbek Murat Yerzhanuly; Bazargul Matkerim; Yong Xia 001 (CoRR, 2025)

PICK: Predict and Mask for Semi-supervised Medical Image Segmentation. - Qingjie Zeng; Zilin Lu; Yutong Xie 001; Yong Xia 001 (Int. J. Comput. Vis., 2025)

P2TC: A Lightweight Pyramid Pooling Transformer-CNN Network for Accurate 3D Whole Heart Segmentation. - Hengfei Cui; Yifan Wang; Fan Zheng; Yan Li 129; Yanning Zhang 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)

Cycle Context Verification for In-Context Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Liangli Zhen; Huazhu Fu; Yong Xia 001 (CoRR, 2025)

Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. - Qingjie Zeng; Yutong Xie 001; Zilin Lu; Mengkang Lu; Yicheng Wu 001; Yong Xia 001 (IEEE Trans. Medical Imaging, 2025)

Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis. - Jiayi Chen; Benteng Ma; Hengfei Cui; Jingfeng Zhang; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)