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ORCIDYong Xia 0001
Person information
- affiliation: Northwestern Polytechnical University, Shaanxi Key Lab of Speech and Image Information Processing, Centre for Multidisciplinary Convergence Computing, Xi'an, China
- affiliation (2007 - 2013): University of Sydney, Biomedical and Multimedia Information Technology Research Group, BMIT, Australia
- affiliation (PhD 2007): Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China
Other persons with the same name
- Yong Xia — disambiguation page
- Yong Xia 0002
![[0000-0002-3522-7446]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3522-7446")
— Beihang University, LMIB of the Ministry of Education, School of Mathematical Sciences, China - Yong Xia 0003 — Hong Kong Polytechnic University, Department of Civil and Structural Engineering, Hung Hom, Kowloon, Hong Kong
- Yong Xia 0004 — Hunan University of Technology, Key Laboratory of Advanced Packaging Materials and Technology of Hunan Province, Zhuzhou, China (and 1 more)
- Yong Xia 0005 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Yong Xia 0006 — University of Zurich, Institut für Informatik, Switzerland
- Yong Xia 0007 — Microsoft, Redmond, WA, USA (and 3 more)
- Yong Xia 0008 — Duke University, Department of Computer Science, Durham, NC, USA
- Yong Xia 0009 — IBM Client Innovation Center China, Shanghai, China (and 1 more)
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2020 – today
- 2024
[j125]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
VNAS: Variational Neural Architecture Search. Int. J. Comput. Vis. 132(9): 3689-3713 (2024)- [j124]Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia:
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. 91: 103023 (2024) - [j123]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Anal. 92: 103028 (2024) - [j122]Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu:
Rethinking masked image modelling for medical image representation. Medical Image Anal. 98: 103304 (2024) - [j121]Benteng Ma, Yanning Zhang, Yong Xia:
Momentum recursive DARTS. Pattern Recognit. 156: 110710 (2024) - [j120]Ziyang Chen, Yongsheng Pan, Yiwen Ye, Zhiyong Wang, Yong Xia:
TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup. IEEE J. Biomed. Health Informatics 28(9): 5497-5508 (2024) - [j119]Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia:
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. IEEE J. Biomed. Health Informatics 28(10): 6117-6129 (2024) - [j118]Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan:
Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis. IEEE Trans. Medical Imaging 43(5): 1816-1827 (2024) - [j117]Hongyu Wang, Jiang He, Hengfei Cui, Bo Yuan, Yong Xia:
Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification. IEEE Trans. Medical Imaging 43(6): 2180-2190 (2024) - [j116]Hengfei Cui, Yan Li, Yifan Wang, Di Xu, Lianming Wu, Yong Xia:
Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation. IEEE Trans. Medical Imaging 43(8): 2924-2936 (2024) - [j115]Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang:
Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Trans. Multim. 26: 984-994 (2024) - [j114]Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia:
A human-in-the-loop method for pulmonary nodule detection in CT scans. Vis. Intell. 2(1): 19 (2024) - [c129]Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang:
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. AAAI 2024: 6890-6898 - [c128]Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia:
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. CVPR 2024: 11114-11124 - [c127]Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia:
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. CVPR 2024: 11439-11449 - [c126]Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu:
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CVPR 2024: 11652-11661 - [c125]Xianze Ai, Zehui Liao, Yong Xia:
GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification. UNSURE@MICCAI 2024: 194-204 - [c124]Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia:
Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning. MICCAI (10) 2024: 263-272 - [c123]Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia:
FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation. MICCAI (10) 2024: 361-372 - [c122]Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia:
Reciprocal Collaboration for Semi-supervised Medical Image Classification. MICCAI (11) 2024: 522-532 - [c121]Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia:
Spot the Difference: Difference Visual Question Answering with Residual Alignment. MICCAI (5) 2024: 649-658 - [c120]Yihang Fu, Ziyang Chen, Yiwen Ye, Yong Xia:
DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation. MLMI@MICCAI (1) 2024: 269-279 - [c119]Dongzi Jin, Yingyu Li, Yong Xia:
Federated Generative Learning for Digital Twin Network Modeling. VTC Spring 2024: 1-5 - [c118]Xubo Li, Yuanjie Jia, Yingyu Li, Yong Xia:
Towards Energy Efficient Federated Meta-Learning in Edge Network. VTC Spring 2024: 1-5 - [i65]Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia:
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer. CoRR abs/2401.12439 (2024) - [i64]Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu:
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CoRR abs/2404.04960 (2024) - [i63]Shishuai Hu, Zehui Liao, Zeyou Liu, Yong Xia:
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation. CoRR abs/2405.08270 (2024) - [i62]Zehui Liao, Shishuai Hu, Yong Xia:
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification. CoRR abs/2406.12293 (2024) - [i61]Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia:
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. CoRR abs/2408.07343 (2024) - [i60]Zhisong Wang, Yiwen Ye, Ziyang Chen, Minglei Shu, Yong Xia:
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels. CoRR abs/2408.12814 (2024) - [i59]Xingliang Lei, Yiwen Ye, Ziyang Chen, Minglei Shu, Yong Xia:
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training. CoRR abs/2408.15011 (2024) - 2023
- [j113]Hongyu Wang, Yong Xia:
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains. Biomed. Signal Process. Control. 81: 104488 (2023) - [j112]Yaxin Chen, Benteng Ma, Yong Xia:
Adaptive decoder-block selection with filter reweighting for medical image segmentation. Biomed. Signal Process. Control. 85: 105033 (2023) - [j111]Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia:
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. Comput. Biol. Medicine 155: 106586 (2023) - [j110]Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023) - [j109]Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam:
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism. Comput. Biol. Medicine 157: 106748 (2023) - [j108]Xinke Ma, Jiang He, Xing Liu, Qin Liu, Geng Chen, Bo Yuan, Changyang Li, Yong Xia:
Hierarchical cumulative network for unsupervised medical image registration. Comput. Biol. Medicine 167: 107598 (2023) - [j107]Xinke Ma, Hengfei Cui, Shuoyan Li, Yibo Yang, Yong Xia:
Deformable medical image registration with global-local transformation network and region similarity constraint. Comput. Medical Imaging Graph. 108: 102263 (2023) - [j106]Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam:
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions. Expert Syst. Appl. 213(Part C): 118945 (2023) - [j105]Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang:
Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation. IET Image Process. 17(4): 1029-1043 (2023) - [j104]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j103]Yuanyuan Chen, Xiaoqing Guo, Yongsheng Pan, Yong Xia, Yixuan Yuan:
Dynamic feature splicing for few-shot rare disease diagnosis. Medical Image Anal. 90: 102959 (2023) - [j102]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14905-14919 (2023) - [j101]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer transition in neural architecture search. Pattern Recognit. 143: 109697 (2023) - [j100]Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia:
Federated adaptive reweighting for medical image classification. Pattern Recognit. 144: 109880 (2023) - [j99]Hengfei Cui, Yifan Wang, Yan Li, Di Xu, Lei Jiang, Yong Xia, Yanning Zhang:
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3408-3419 (2023) - [j98]Ziyang Chen, Yongsheng Pan, Yong Xia:
Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3537-3548 (2023) - [j97]Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia:
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(1): 233-244 (2023) - [j96]Zhe Li, Yuming Jiang, Mengkang Lu, Ruijiang Li, Yong Xia:
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. IEEE Trans. Medical Imaging 42(9): 2678-2689 (2023) - [j95]Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang:
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. IEEE Trans. Medical Imaging 42(10): 2817-2831 (2023) - [j94]Yuanyuan Chen, Yongsheng Pan, Yong Xia, Yixuan Yuan:
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(12): 3566-3578 (2023) - [c117]Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia:
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. CVPR 2023: 15671-15680 - [c116]Xianze Ai, Zehui Liao, Yong Xia:
URL: Combating Label Noise for Lung Nodule Malignancy Grading. DALI@MICCAI 2023: 1-11 - [c115]Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu:
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. MICCAI (1) 2023: 13-23 - [c114]Shishuai Hu, Zehui Liao, Yong Xia:
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. MICCAI (4) 2023: 14-23 - [c113]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. MICCAI (4) 2023: 24-34 - [c112]Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen:
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. MICCAI (10) 2023: 24-33 - [c111]Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) 2023: 25-34 - [c110]Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia:
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. MICCAI (4) 2023: 89-99 - [c109]Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia:
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. MICCAI (1) 2023: 109-118 - [c108]Zhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li:
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. AMAI@MICCAI 2023: 114-124 - [c107]Zheng Yu, Yutong Xie, Yong Xia, Qi Wu:
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 357-367 - [c106]Mengkang Lu, Tianyi Wang, Yong Xia:
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis. MICCAI (6) 2023: 457-466 - [c105]Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia:
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. MICCAI (3) 2023: 508-518 - [c104]Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia:
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. MICCAI (3) 2023: 603-613 - [i58]Xiaoyu Bai, Yong Xia:
An End-to-End Framework For Universal Lesion Detection With Missing Annotations. CoRR abs/2303.15024 (2023) - [i57]Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia:
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner. CoRR abs/2304.03493 (2023) - [i56]Ziyang Chen, Yongsheng Pan, Yong Xia:
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. CoRR abs/2304.04581 (2023) - [i55]Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia:
Attention Mechanisms in Medical Image Segmentation: A Survey. CoRR abs/2305.17937 (2023) - [i54]Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia:
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation. CoRR abs/2305.19949 (2023) - [i53]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Transformer-based Annotation Bias-aware Medical Image Segmentation. CoRR abs/2306.01340 (2023) - [i52]Tao Lei, Rui Sun, Yong Wan, Yong Xia, Xiaogang Du, Asoke K. Nandi:
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation. CoRR abs/2306.04086 (2023) - [i51]Shishuai Hu, Zehui Liao, Yong Xia:
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. CoRR abs/2306.05254 (2023) - [i50]Xiaoyu Bai, Yong Xia:
SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference. CoRR abs/2306.13988 (2023) - [i49]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, Yasmeen George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Edward Walczak, Seán McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight:
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. CoRR abs/2307.01984 (2023) - [i48]Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang:
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. CoRR abs/2308.08746 (2023) - [i47]Xianze Ai, Zehui Liao, Yong Xia:
URL: Combating Label Noise for Lung Nodule Malignancy Grading. CoRR abs/2308.08772 (2023) - [i46]Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia:
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training. CoRR abs/2309.13306 (2023) - [i45]Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yong Xia:
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation. CoRR abs/2309.14819 (2023) - [i44]Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia:
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. CoRR abs/2311.11686 (2023) - [i43]Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Ke Yan, Yong Xia:
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings. CoRR abs/2311.15111 (2023) - [i42]Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia:
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning. CoRR abs/2311.17597 (2023) - [i41]Ziyang Chen, Yiwen Ye, Mengkang Lu, Yongsheng Pan, Yong Xia:
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation. CoRR abs/2311.18363 (2023) - [i40]Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng:
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. CoRR abs/2312.02567 (2023) - [i39]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - [i38]Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang:
Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation. CoRR abs/2312.14481 (2023) - 2022
- [j93]Hengfei Cui, Yan Li, Lei Jiang, Yifan Wang, Yong Xia, Yanning Zhang:
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images. Comput. Biol. Medicine 151(Part): 106218 (2022) - [j92]Hengfei Cui, Lei Jiang, Chang Yuwen, Yong Xia, Yanning Zhang:
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images. Knowl. Based Syst. 249: 108942 (2022) - [j91]Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Mutual consistency learning for semi-supervised medical image segmentation. Medical Image Anal. 81: 102530 (2022) - [j90]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j89]Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen:
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6839-6853 (2022) - [j88]Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j87]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [j86]Jingxuan Wang, Jinqiu Sun, Yu Zhu, Yong Xia, Yanning Zhang:
Matrix Autoregressive Model for Hyperspectral Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8656-8667 (2022) - [j85]Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang:
Dynamic Negative Sampling Autoencoder for Hyperspectral Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9829-9841 (2022) - [j84]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Trans. Image Process. 31: 894-905 (2022) - [j83]Huimin Zhao, Zhenyu Fang, Jinchang Ren, Calum MacLellan, Yong Xia, Shuo Li, Meijun Sun, Kevin Ren:
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. IEEE J. Biomed. Health Informatics 26(8): 4032-4043 (2022) - [j82]Yiwen Ye, Chengwei Pan, Yicheng Wu, Shuqi Wang, Yong Xia:
MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation. IEEE J. Biomed. Health Informatics 26(9): 4551-4562 (2022) - [j81]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. IEEE Trans. Medical Imaging 41(7): 1874-1884 (2022) - [c103]Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao:
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. CVPR 2022: 20844-20853 - [c102]Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. ECCV (21) 2022: 558-575 - [c101]Hangyu Hu, Ziyang Chen, Yong Xia:
Encoding Deep Residual Features into Fisher Vector for Skin Lesion Classification. EMBC 2022: 1843-1846 - [c100]Zilin Lu, Mengkang Lu, Yong Xia:
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis. MMMI@MICCAI 2022: 1-10 - [c99]Shishuai Hu, Zehui Liao, Yiwen Ye, Yong Xia:
Boundary-Aware Network for Kidney Parsing. CuRIOUS/KiPA/MELA@MICCAI 2022: 9-17 - [c98]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122 - [c97]Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang:
Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation. LAScarQS@MICCAI 2022: 115-123 - [c96]Shaoteng Zhang, Jianpeng Zhang, Yong Xia:
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation. MLMI@MICCAI 2022: 367-376 - [c95]Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan:
Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. MICCAI (3) 2022: 512-522 - [c94]Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia:
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation. MICCAI (4) 2022: 545-555 - [c93]Shishuai Hu, Zehui Liao, Yong Xia:
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. MICCAI (8) 2022: 650-659 - [c92]Zhaohui Jing, Youjian Zhang, Chaoyue Wang, Daqing Liu, Yong Xia:
Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring. ACM Multimedia 2022: 2547-2555 - [i37]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - [i36]Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR abs/2202.05268 (2022) - [i35]Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu:
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR abs/2208.13138 (2022) - [i34]Shishuai Hu, Zehui Liao, Yong Xia:
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis. CoRR abs/2208.13337 (2022) - [i33]Shishuai Hu, Yiwen Ye, Zehui Liao, Yong Xia:
Boundary-Aware Network for Kidney Parsing. CoRR abs/2208.13338 (2022) - [i32]Shishuai Hu, Zehui Liao, Yong Xia:
Boundary-Aware Network for Abdominal Multi-Organ Segmentation. CoRR abs/2208.13774 (2022) - [i31]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning from partially labeled data for multi-organ and tumor segmentation. CoRR abs/2211.06894 (2022) - [i30]Shishuai Hu, Zehui Liao, Yong Xia:
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation. CoRR abs/2211.11514 (2022) - [i29]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Instance-specific Label Distribution Regularization for Learning with Label Noise. CoRR abs/2212.08380 (2022) - 2021
- [j80]Xiaoyu Bai, Yan Hu, Guanzhong Gong, Yong Yin, Yong Xia:
A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography. Biomed. Signal Process. Control. 64: 102246 (2021) - [j79]Yan Wang, Jianpeng Zhang, Hengfei Cui, Yanning Zhang, Yong Xia:
View adaptive learning for pancreas segmentation. Biomed. Signal Process. Control. 66: 102347 (2021) - [j78]Hengfei Cui, Chang Yuwen, Lei Jiang, Yong Xia, Yanning Zhang:
Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation. Comput. Biol. Medicine 136: 104726 (2021) - [j77]Hengfei Cui, Chang Yuwen, Lei Jiang, Yong Xia, Yanning Zhang:
Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images. Comput. Methods Programs Biomed. 206: 106142 (2021) - [j76]Jingxuan Wang, Yong Xia, Yanning Zhang:
Anomaly Detection of Hyperspectral Image via Tensor Completion. IEEE Geosci. Remote. Sens. Lett. 18(6): 1099-1103 (2021) - [j75]Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, Yong Xia:
Triple attention learning for classification of 14 thoracic diseases using chest radiography. Medical Image Anal. 67: 101846 (2021) - [j74]Yuanyuan Chen, Yong Xia:
Iterative sparse and deep learning for accurate diagnosis of Alzheimer's disease. Pattern Recognit. 116: 107944 (2021) - [j73]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 940-950 (2021) - [j72]Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1003-1013 (2021) - [j71]Zhe Li, Yong Xia:
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images. IEEE J. Biomed. Health Informatics 25(3): 774-783 (2021) - [j70]Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia:
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Trans. Medical Imaging 40(1): 286-296 (2021) - [j69]Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 661-672 (2021) - [j68]Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia:
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 879-890 (2021) - [c91]Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Déforges, Wassim Hamidouche, Lu Zhang:
Learning Synergistic Attention for Light Field Salient Object Detection. BMVC 2021: 21 - [c90]Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) 2021: 106-115 - [c89]Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao:
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values. CIKM 2021: 3493-3497 - [c88]Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen:
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI 2021: 159-169 - [c87]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. CVPR 2021: 1195-1204 - [c86]Yunlong He, Lihui Wang, Feng Yang, Yong Xia, Patrick Clarysse, Yuemin Zhu:
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging. FIMH 2021: 200-210 - [c85]Yan Hu, Erik Meijering, Yong Xia, Yang Song:
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation. ICONIP (6) 2021: 283-290 - [c84]Yongsheng Pan, Yong Xia:
Ultimate Reconstruction: Understand Your Bones From Orthogonal Views. ISBI 2021: 1155-1158 - [c83]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c82]Ziyang Chen, Yongsheng Pan, Yong Xia:
CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization. OMIA@MICCAI 2021: 52-61 - [c81]Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen:
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. MLMI@MICCAI 2021: 70-79 - [c80]Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen:
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. MICCAI (1) 2021: 89-98 - [c79]Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia:
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. SASHIMI@MICCAI 2021: 121-130 - [c78]Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia:
Transfer Learning for KiTS21 Challenge. KiTS@MICCAI 2021: 158-163 - [c77]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. MICCAI (3) 2021: 171-180 - [c76]Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen:
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. MICCAI (5) 2021: 439-448 - [c75]Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia:
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. MICCAI (5) 2021: 480-489 - [i28]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. CoRR abs/2103.03024 (2021) - [i27]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. CoRR abs/2104.11436 (2021) - [i26]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i25]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - [i24]Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia:
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation. CoRR abs/2109.05676 (2021) - [i23]Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai:
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation. CoRR abs/2109.09960 (2021) - [i22]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. CoRR abs/2111.13410 (2021) - [i21]Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao:
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. CoRR abs/2112.01148 (2021) - [i20]Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. CoRR abs/2112.09356 (2021) - 2020
- [j67]Benteng Ma, Xiang Li, Yong Xia, Yanning Zhang:
Autonomous deep learning: A genetic DCNN designer for image classification. Neurocomputing 379: 152-161 (2020) - [j66]Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
NFN＋: A novel network followed network for retinal vessel segmentation. Neural Networks 126: 153-162 (2020) - [j65]Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia:
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. IEEE J. Biomed. Health Informatics 24(2): 475-485 (2020) - [j64]Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai:
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging 39(2): 447-457 (2020) - [j63]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Trans. Medical Imaging 39(7): 2482-2493 (2020) - [j62]Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen:
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. IEEE Trans. Medical Imaging 39(9): 2965-2975 (2020) - [c74]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - [c73]Guojing Zhao, Bowen Jiang, Jianpeng Zhang, Yong Xia:
Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (1) 2020: 492-502 - [c72]Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI 2020: 140-143 - [c71]Yaxin Chen, Benteng Ma, Yong Xia:
α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. DART/DCL@MICCAI 2020: 3-12 - [c70]Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia:
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 17-25 - [c69]Xinqiang Zhou, Yicheng Wu, Yong Xia:
Retinal Image Quality Assessment via Specific Structures Segmentation. OMIA@MICCAI 2020: 53-61 - [c68]Shishuai Hu, Jianpeng Zhang, Yong Xia:
Boundary-Aware Network for Kidney Tumor Segmentation. MLMI@MICCAI 2020: 189-198 - [c67]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) 2020: 417-427 - [c66]Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang:
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) 2020: 480-490 - [c65]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Auto Learning Attention. NeurIPS 2020 - [i19]Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia:
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. CoRR abs/2003.12338 (2020) - [i18]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR abs/2008.02699 (2020) - [i17]Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu:
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. CoRR abs/2010.04428 (2020) - [i16]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets. CoRR abs/2011.10217 (2020) - [i15]Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen:
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. CoRR abs/2011.12640 (2020) - [i14]Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-slice Context Residual Learning for 3D Medical Image Segmentation. CoRR abs/2011.14155 (2020) - [i13]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer Transition in Neural Architecture Search. CoRR abs/2011.14525 (2020) - [i12]Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. CoRR abs/2012.06964 (2020) - [i11]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR abs/2012.15318 (2020)
2010 – 2019
- 2019
- [j61]Hengfei Cui, Yong Xia, Yanning Zhang:
2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion. IEEE Access 7: 123969-123980 (2019) - [j60]Tao Zhou, Huiling Lu, Wenwen Wang, Yong Xia:
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling. Appl. Soft Comput. 75: 323-332 (2019) - [j59]Zhe Li, Yong Xia, Hichem Sahli:
CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images. Cogn. Comput. 11(6): 855-868 (2019) - [j58]Zhanbo Yang, Lingyan Ran, Shizhou Zhang, Yong Xia, Yanning Zhang:
EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images. Neurocomputing 366: 46-53 (2019) - [j57]Xuan Liu, Na Li, Yong Xia:
Affective image classification by jointly using interpretable art features and semantic annotations. J. Vis. Commun. Image Represent. 58: 576-588 (2019) - [j56]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Medical image classification using synergic deep learning. Medical Image Anal. 54: 10-19 (2019) - [j55]Yutong Xie, Jianpeng Zhang, Yong Xia:
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT. Medical Image Anal. 57: 237-248 (2019) - [j54]Chen Ding, Ying Li, Lei Zhang, Jinyang Zhang, Lu Yang, Wei Wei, Yong Xia, Yanning Zhang:
Fast-Convergent Fully Connected Deep Learning Model Using Constrained Nodes Input. Neural Process. Lett. 49(3): 995-1005 (2019) - [j53]Jie Wei, Yong Xia, Yanning Zhang:
M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation. Pattern Recognit. 91: 366-378 (2019) - [j52]Shizhou Zhang, Jinjun Wang, Weiwei Shi, Yihong Gong, Yong Xia, Yanning Zhang:
Normalized Non-Negative Sparse Encoder for Fast Image Representation. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1962-1972 (2019) - [j51]Yongsheng Pan, Yong Xia, Dinggang Shen:
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification. IEEE Trans. Image Process. 28(10): 4716-4729 (2019) - [j50]Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai:
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. IEEE Trans. Medical Imaging 38(4): 991-1004 (2019) - [j49]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
Attention Residual Learning for Skin Lesion Classification. IEEE Trans. Medical Imaging 38(9): 2092-2103 (2019) - [c64]Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai:
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. Australasian Conference on Artificial Intelligence 2019: 563-573 - [c63]Zhanbo Yang, Lingyan Ran, Yong Xia, Yanning Zhang:
MSA-Net: Multiscale Spatial Attention Network for the Classification of Breast Histology Images. BICS 2019: 273-282 - [c62]Guojing Zhao, Jianpeng Zhang, Yong Xia:
Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation. BrainLes@MICCAI (2) 2019: 27-36 - [c61]Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen:
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. IJCAI 2019: 4271-4277 - [c60]Yang Su, Jie Wei, Benteng Ma, Yong Xia, Yanning Zhang:
Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation. IScIDE (1) 2019: 58-67 - [c59]Hengfei Cui, Yong Xia, Yanning Zhang:
Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images. IScIDE (1) 2019: 238-248 - [c58]Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. DART/MIL3ID@MICCAI 2019: 72-80 - [c57]Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia:
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) 2019: 110-118 - [c56]Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen:
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. MICCAI (3) 2019: 137-145 - [c55]Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen:
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. GLMI@MICCAI 2019: 138-146 - [c54]Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai:
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. MICCAI (1) 2019: 264-272 - [c53]Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia:
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) 2019: 469-477 - [c52]Jingyi Zhang, Yong Xia, Yanning Zhang:
An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs. MIUA 2019: 450-458 - [c51]Xiaoyun Dong, Jingjing Zhang, Gang Wang, Yong Xia:
DAEimp: Denoising Autoencoder-Based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases. PRCV (1) 2019: 517-527 - [i10]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. CoRR abs/1903.03313 (2019) - [i9]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR abs/1908.05104 (2019) - 2018
- [j48]Hengfei Cui, Yong Xia:
Automatic Coronary Centerline Extraction Using Gradient Vector Flow Field and Fast Marching Method From CT Images. IEEE Access 6: 41816-41826 (2018) - [j47]Shizhou Zhang, Qi Zhang, Xing Wei, Yanning Zhang, Yong Xia:
Person Re-Identification With Triplet Focal Loss. IEEE Access 6: 78092-78099 (2018) - [j46]Junjie Zhang, Yong Xia, Hengfei Cui, Yanning Zhang:
Pulmonary nodule detection in medical images: A survey. Biomed. Signal Process. Control. 43: 138-147 (2018) - [j45]Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. Neurocomputing 275: 1358-1369 (2018) - [j44]Shizhou Zhang, De Cheng, Yihong Gong, Dahu Shi, Xi Qiu, Yong Xia, Yanning Zhang:
Pedestrian search in surveillance videos by learning discriminative deep features. Neurocomputing 283: 120-128 (2018) - [j43]Junjie Zhang, Yong Xia, Haoyue Zeng, Yanning Zhang:
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection. Neurocomputing 317: 159-167 (2018) - [j42]Yutong Xie, Jianpeng Zhang, Yong Xia, Michael J. Fulham, Yanning Zhang:
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. Inf. Fusion 42: 102-110 (2018) - [j41]Yong Xia, Zhe Li:
VBI-MRF model for image segmentation. Multim. Tools Appl. 77(11): 13343-13361 (2018) - [j40]Yongsheng Pan, Yong Xia, Yang Song, Weidong Cai:
Locality constrained encoding of frequency and spatial information for image classification. Multim. Tools Appl. 77(19): 24891-24907 (2018) - [j39]Na Li, Yong Xia:
Affective image classification via semi-supervised learning from web images. Multim. Tools Appl. 77(23): 30633-30650 (2018) - [j38]Hengfei Cui, Yong Xia, Yanning Zhang, Liang Zhong:
Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound. Mach. Vis. Appl. 29(8): 1287-1298 (2018) - [j37]Chen Ding, Ying Li, Yong Xia, Lei Zhang, Yanning Zhang:
Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification. Remote. Sens. 10(3): 415 (2018) - [j36]Jianpeng Zhang, Yong Xia, Yutong Xie, Michael J. Fulham, David Dagan Feng:
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. IEEE J. Biomed. Health Informatics 22(5): 1521-1530 (2018) - [c50]Zhe Li, Yong Xia, Hichem Sahli:
CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm. BICS 2018: 293-302 - [c49]Yuanyuan Chen, Haozhe Jia, Zhaowei Huang, Yong Xia:
Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging. BICS 2018: 303-311 - [c48]Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai:
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. ICIP 2018: 2461-2465 - [c47]Shen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham:
Cross-cohort dementia identification using transfer learning with FDG-PET imaging. ISBI 2018: 1550-1554 - [c46]Chuanchuan Zheng, Yong Xia, Yuanyuan Chen, Xiao-Xia Yin, Yanchun Zhang:
Early Diagnosis of Alzheimer's Disease by Ensemble Deep Learning Using FDG-PET. IScIDE 2018: 614-622 - [c45]Junjie Zhang, Zhaowei Huang, Tairan Huang, Yong Xia, Yanning Zhang:
Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT. IScIDE 2018: 655-662 - [c44]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. MICCAI (2) 2018: 12-20 - [c43]Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
Multiscale Network Followed Network Model for Retinal Vessel Segmentation. MICCAI (2) 2018: 119-126 - [c42]Yan Hu, Xiang Liu, Xin Wen, Chen Niu, Yong Xia:
Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder. BrainLes@MICCAI (2) 2018: 168-177 - [c41]Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai:
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) 2018: 237-244 - [c40]Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen:
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. MICCAI (3) 2018: 455-463 - [c39]Yicheng Wu, Yong Xia, Yanning Zhang:
Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images. PRCV (2) 2018: 250-258 - [i8]Benteng Ma, Yong Xia:
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. CoRR abs/1807.00284 (2018) - [i7]Junjie Zhang, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency. CoRR abs/1807.00598 (2018) - [i6]Hongyu Wang, Yong Xia:
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. CoRR abs/1807.03058 (2018) - [i5]Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR abs/1807.06742 (2018) - [i4]Yutong Xie, Jianpeng Zhang, Yong Xia:
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. CoRR abs/1807.08488 (2018) - [i3]Yongsheng Pan, Yong Xia:
Residual Network based Aggregation Model for Skin Lesion Classification. CoRR abs/1807.09150 (2018) - 2017
- [j35]Benteng Ma, Yong Xia:
A tribe competition-based genetic algorithm for feature selection in pattern classification. Appl. Soft Comput. 58: 328-338 (2017) - [j34]Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham:
Cell image segmentation using bacterial foraging optimization. Appl. Soft Comput. 58: 770-782 (2017) - [j33]Shen Lu, Yong Xia, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging. Comput. Medical Imaging Graph. 60: 35-41 (2017) - [j32]Zexuan Ji, Yong Xia, Yuhui Zheng:
Robust generative asymmetric GMM for brain MR image segmentation. Comput. Methods Programs Biomed. 151: 123-138 (2017) - [j31]Zexuan Ji, Yubo Huang, Yong Xia, Yuhui Zheng:
A robust modified Gaussian mixture model with rough set for image segmentation. Neurocomputing 266: 550-565 (2017) - [j30]Zhe Li, Yong Xia, Zexuan Ji, Yanning Zhang:
Brain voxel classification in magnetic resonance images using niche differential evolution based Bayesian inference of variational mixture of Gaussians. Neurocomputing 269: 47-57 (2017) - [j29]Chen Ding, Ying Li, Yong Xia, Wei Wei, Lei Zhang, Yanning Zhang:
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels. Remote. Sens. 9(6): 618 (2017) - [c38]Haoyue Zeng, Yong Xia:
Space target recognition based on deep learning. FUSION 2017: 1-5 - [c37]Hao Wang, Yong Xia, Zhiyong Wang:
Dictionary learning-based image compression. ICIP 2017: 3235-3239 - [c36]Benteng Ma, Yong Xia:
A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging. ICNC-FSKD 2017: 172-177 - [c35]Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng:
Prostate segmentation in MR images using ensemble deep convolutional neural networks. ISBI 2017: 762-765 - [c34]Hongyu Wang, Jianpeng Zhang, Yong Xia:
Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification. IScIDE 2017: 191-199 - [c33]Hengfei Cui, Yong Xia:
Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries. IScIDE 2017: 597-607 - [c32]Jie Wei, Yong Xia:
Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images. DLMIA/ML-CDS@MICCAI 2017: 312-320 - [c31]Yan Hu, Yong Xia:
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences. BrainLes@MICCAI 2017: 423-434 - [c30]Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai:
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. MICCAI (3) 2017: 656-664 - [i2]Benteng Ma, Yong Xia:
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification. CoRR abs/1704.08818 (2017) - [i1]Jianpeng Zhang, Yong Xia, Qi Wu, Yutong Xie:
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning. CoRR abs/1706.09092 (2017) - 2016
- [j28]Chuanchuan Zheng, Yong Xia, Yongsheng Pan, Jinhu Chen:
Automated identification of dementia using medical imaging: a survey from a pattern classification perspective. Brain Informatics 3(1): 17-27 (2016) - [j27]Yong Xia, Zexuan Ji, Yanning Zhang:
Brain MRI image segmentation based on learning local variational Gaussian mixture models. Neurocomputing 204: 189-197 (2016) - [j26]Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng:
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Trans. Biomed. Eng. 63(5): 1058-1069 (2016) - [j25]Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng:
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. IEEE Trans. Image Process. 25(11): 5035-5049 (2016) - [c29]Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia:
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. MCV/BAMBI@MICCAI 2016: 116-125 - 2015
- [j24]Zexuan Ji, Yong Xia, Quan-Sen Sun, Guo Cao, Qiang Chen:
Active contours driven by local likelihood image fitting energy for image segmentation. Inf. Sci. 301: 285-304 (2015) - [j23]Pei Dong, Yong Xia, Shanshan Wang, Li Zhuo, David Dagan Feng:
An iteratively reweighting algorithm for dynamic video summarization. Multim. Tools Appl. 74(21): 9449-9473 (2015) - [c28]Na Li, Yong Xia, Yuwei Xia:
Semi-supervised emotional classification of color images by learning from cloud. ACII 2015: 84-90 - [c27]ChangYang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng:
Robust saliency detection via regularized random walks ranking. CVPR 2015: 2710-2717 - [c26]Shen Lu, Yong Xia, Tom Weidong Cai, David Dagan Feng:
Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging. EMBC 2015: 2251-2254 - [c25]Zhe Li, Zexuan Ji, Yong Xia:
Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation. IScIDE (1) 2015: 592-602 - 2014
- [j22]Tong Zhang, Yong Xia, David Dagan Feng:
Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method. Biomed. Signal Process. Control. 12: 10-18 (2014) - [j21]Zexuan Ji, Yong Xia, Quan-Sen Sun, Guo Cao:
Interval-valued possibilistic fuzzy C-means clustering algorithm. Fuzzy Sets Syst. 253: 138-156 (2014) - [j20]Zexuan Ji, Yong Xia, Quan-Sen Sun, Qiang Chen, Dagan Feng:
Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation. Neurocomputing 134: 60-69 (2014) - [j19]Tong Zhang, Yong Xia, David Dagan Feng:
A clonal selection based approach to statistical brain voxel classification in magnetic resonance images. Neurocomputing 134: 122-131 (2014) - [c24]Yong Xia, Shen Lu, Wei Wei, David Dagan Feng, Yanning Zhang:
Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging. ICARCV 2014: 855-860 - [c23]Zhen Qin, Yilei Wang, Yong Xia, Hongrong Cheng, Yingjie Zhou, Zhengguo Sheng, Victor C. M. Leung:
Demographic information prediction based on smartphone application usage. SMARTCOMP 2014: 183-190 - [c22]Yong Xia, Yanning Zhang:
Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images. SPAC 2014: 59-64 - 2013
- [j18]Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, Yangyu Fan, David Dagan Feng:
Multi-pose 3D face recognition based on 2D sparse representation. J. Vis. Commun. Image Represent. 24(2): 117-126 (2013) - [j17]Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Yong Xia, Wenxiong Kang, David Dagan Feng:
Discriminative two-level feature selection for realistic human action recognition. J. Vis. Commun. Image Represent. 24(7): 1064-1074 (2013) - [j16]Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng:
Dictionary learning based impulse noise removal via L1-L1 minimization. Signal Process. 93(9): 2696-2708 (2013) - [j15]Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo:
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. IEEE Trans. Image Process. 22(12): 5214-5225 (2013) - [c21]Shanshan Wang, Yong Xia, Pei Dong, David Dagan Feng, Jianhua Luo, Qiu Huang:
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints. EMBC 2013: 4030-4033 - 2012
- [j14]Zexuan Ji, Yong Xia, Qiang Chen, Quan-Sen Sun, De-Shen Xia, David Dagan Feng:
Fuzzy c-means clustering with weighted image patch for image segmentation. Appl. Soft Comput. 12(6): 1659-1667 (2012) - [j13]Yong Xia, Stefan Eberl, Lingfeng Wen, Michael J. Fulham, David Dagan Feng:
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Comput. Medical Imaging Graph. 36(1): 47-53 (2012) - [j12]ChangYang Li, Xiuying Wang, Yong Xia, Stefan Eberl, Yong Yin, David Dagan Feng:
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Comput. Methods Programs Biomed. 107(2): 164-174 (2012) - [j11]Zexuan Ji, Quan-Sen Sun, Yong Xia, Qiang Chen, De-Shen Xia, Dagan Feng:
Generalized rough fuzzy c-means algorithm for brain MR image segmentation. Comput. Methods Programs Biomed. 108(2): 644-655 (2012) - [j10]Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng:
Gabor feature based nonlocal means filter for textured image denoising. J. Vis. Commun. Image Represent. 23(7): 1008-1018 (2012) - [j9]Yanning Zhang, Zhe Guo, Yong Xia, Zenggang Lin, David Dagan Feng:
2D representation of facial surfaces for multi-pose 3D face recognition. Pattern Recognit. Lett. 33(5): 530-536 (2012) - [j8]Zexuan Ji, Yong Xia, Quan-Sen Sun, Qiang Chen, De-Shen Xia, David Dagan Feng:
Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation. IEEE Trans. Inf. Technol. Biomed. 16(3): 339-347 (2012) - [c20]Yan Hu, Ming Zhu, Yong Xia, Kai Chen, Yanlin Luo:
GARDEN: Generic Addressing and Routing for Data Center Networks. IEEE CLOUD 2012: 107-114 - [c19]Tong Zhang, Yong Xia, David Dagan Feng:
A deformable cosegmentation algorithm for brain MR images. EMBC 2012: 3215-3218 - [c18]Pei Dong, Yong Xia, David Dagan Feng:
Real-Time Storyboard Generation for H.264/AVC Compressed Videos. ICME 2012: 544-549 - 2011
- [j7]Xiuying Wang, Chaoqun Fang, Yong Xia, Dagan Feng:
Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction. Biomed. Signal Process. Control. 6(1): 48-56 (2011) - [j6]Guangjian Tian, Yong Xia, Yanning Zhang, David Dagan Feng:
Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation. IEEE Trans. Inf. Technol. Biomed. 15(3): 373-380 (2011) - [c17]Jiyong Wang, Yong Xia, Jiabin Wang, David Dagan Feng:
Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images. DICTA 2011: 274-278 - [c16]Jiabin Wang, Yong Xia, David Dagan Feng:
Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation. DICTA 2011: 330-334 - [c15]Yong Xia, Jiabin Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. EMBC 2011: 7969-7972 - [c14]Pei Dong, Yong Xia, Li Zhuo, David Dagan Feng:
Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. ICIP 2011: 2309-2312 - [c13]Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang:
Scalable data center multicast using multi-class Bloom Filter. ICNP 2011: 266-275 - [c12]Yong Xia, Zhe Zhang, Lingfeng Wen, Pei Dong, David Dagan Feng:
GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging. IScIDE 2011: 128-135 - [c11]Tong Zhang, Yong Xia, David Dagan Feng:
Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images. IScIDE 2011: 295-302 - [c10]Zexuan Ji, Yong Xia, Quan-Sen Sun, De-Shen Xia, David Dagan Feng:
Local Gaussian Distribution Fitting Based FCM Algorithm for Brain MR Image Segmentation. IScIDE 2011: 318-325 - [c9]Su Yi, Gang Wang, Yong Xia:
QoS-Enabled Dynamic Resource Management in Multi-Cell OFDMA-Based Systems. VTC Spring 2011: 1-5 - 2010
- [j5]Yong Xia, David Dagan Feng, Rongchun Zhao, Yanning Zhang:
Multifractal signature estimation for textured image segmentation. Pattern Recognit. Lett. 31(2): 163-169 (2010) - [c8]Jiyong Wang, David Dagan Feng, Yong Xia:
Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners. DICTA 2010: 63-68 - [c7]Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, David Dagan Feng:
3D face representation and recognition by Intrinsic Shape Description Maps. ICASSP 2010: 854-857 - [c6]Yong Xia, Stefan Eberl, David Dagan Feng:
Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion. ICIP 2010: 2557-2560
2000 – 2009
- 2009
- [c5]Yong Xia, David Dagan Feng:
A General Image Segmentation Model and its Application. ICIG 2009: 227-231 - [c4]Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Segmentation of brain PET-CT images based on adaptive use of complementary information. Medical Imaging: Image Processing 2009: 72593A - 2008
- [c3]Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Segmentation of dual modality brain PET/CT images using the MAP-MRF model. MMSP 2008: 107-110 - 2007
- [j4]Yong Xia, David Dagan Feng, Tianjiao Wang, Rongchun Zhao, Yanning Zhang:
Image segmentation by clustering of spatial patterns. Pattern Recognit. Lett. 28(12): 1548-1555 (2007) - 2006
- [j3]