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ORCIDYong Xia
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2020 – today
- 2021
[j126]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)- [j125]Yan Wang, Jianpeng Zhang, Hengfei Cui, Yanning Zhang, Yong Xia:
View adaptive learning for pancreas segmentation. Biomed. Signal Process. Control. 66: 102347 (2021) - [j124]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) - [j123]Yong Xia
, Mei-Jia Yang, Shu Wang:
Chebyshev center of the intersection of balls: complexity, relaxation and approximation. Math. Program. 187(1): 287-315 (2021) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [i26]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. CoRR abs/2103.03024 (2021) - [i25]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. CoRR abs/2104.11436 (2021) - 2020
- [j118]Luca Consolini, Marco Locatelli, Jiulin Wang, Yong Xia:
Efficient local search procedures for quadratic fractional programming problems. Comput. Optim. Appl. 76(1): 201-232 (2020) - [j117]Benteng Ma, Xiang Li, Yong Xia, Yanning Zhang:
Autonomous deep learning: A genetic DCNN designer for image classification. Neurocomputing 379: 152-161 (2020) - [j116]Naren Wulan, Wei Wang, Pengzhong Sun, Kuanquan Wang, Yong Xia, Henggui Zhang:
Generating electrocardiogram signals by deep learning. Neurocomputing 404: 122-136 (2020) - [j115]Yong Xia, Longfei Wang, Xiaohui Wang:
Globally minimizing the sum of a convex-concave fraction and a convex function based on wave-curve bounds. J. Glob. Optim. 77(2): 301-318 (2020) - [j114]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) - [j113]Mei-Jia Yang, Yong Xia:
On Lagrangian duality gap of quadratic fractional programming with a two-sided quadratic constraint. Optim. Lett. 14(3): 569-578 (2020) - [j112]Xiaoli Cen, Yong Xia:
Globally maximizing the sum of squares of quadratic forms over the unit sphere. Optim. Lett. 14(7): 1907-1919 (2020) - [j111]Jiulin Wang, Yong Xia:
Closing the Gap between Necessary and Sufficient Conditions for Local Nonglobal Minimizer of Trust Region Subproblem. SIAM J. Optim. 30(3): 1980-1995 (2020) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [c110]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 - [c109]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 - [c108]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 - [c107]Yaxin Chen, Benteng Ma, Yong Xia:
α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation. DART/DCL@MICCAI 2020: 3-12 - [c106]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 - [c105]Xinqiang Zhou, Yicheng Wu, Yong Xia:
Retinal Image Quality Assessment via Specific Structures Segmentation. OMIA@MICCAI 2020: 53-61 - [c104]Shishuai Hu, Jianpeng Zhang, Yong Xia:
Boundary-Aware Network for Kidney Tumor Segmentation. MLMI@MICCAI 2020: 189-198 - [c103]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 - [c102]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 - [c101]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Auto Learning Attention. NeurIPS 2020 - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-slice Context Residual Learning for 3D Medical Image Segmentation. CoRR abs/2011.14155 (2020) - [i18]Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao:
Inter-layer Transition in Neural Architecture Search. CoRR abs/2011.14525 (2020) - [i17]Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiao-Yun 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) - [i16]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
- [j106]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) - [j105]Tao Zhou, Huiling Lu, Wang Wenwen, Yong Xia:
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling. Appl. Soft Comput. 75: 323-332 (2019) - [j104]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) - [j103]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) - [j102]Yong Xia, Longfei Wang, Mei-Jia Yang:
A fast algorithm for globally solving Tikhonov regularized total least squares problem. J. Glob. Optim. 73(2): 311-330 (2019) - [j101]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) - [j100]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Medical image classification using synergic deep learning. Medical Image Anal. 54: 10-19 (2019) - [j99]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) - [j98]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) - [j97]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) - [j96]Long-Fei Wang, Yong Xia:
A Linear-Time Algorithm for Globally Maximizing the Sum of a Generalized Rayleigh Quotient and a Quadratic Form on the Unit Sphere. SIAM J. Optim. 29(3): 1844-1869 (2019) - [j95]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) - [j94]Libo Zhao, Yihe Zhao, Yong Xia, Zhikang Li, Jie Li, Jiawang Zhang, Jiuhong Wang, Xiangyang Zhou, Yuanjie Li, Yulong Zhao, Zhuangde Jiang:
A Novel CMUT-Based Resonant Biochemical Sensor Using Electrospinning Technology. IEEE Trans. Ind. Electron. 66(9): 7356-7365 (2019) - [j93]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) - [j92]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) - [j91]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
Attention Residual Learning for Skin Lesion Classification. IEEE Trans. Medical Imaging 38(9): 2092-2103 (2019) - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia:
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) 2019: 469-477 - [c88]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 - [c87]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 - [c86]Xiaoli Cen, Yong Xia, Runxuan Gao, Tianzhi Yang:
On Chebyshev Center of the Intersection of Two Ellipsoids. WCGO 2019: 135-144 - [c85]Huu-Quang Nguyen, Ruey-Lin Sheu, Yong Xia:
Solving a Type of the Tikhonov Regularization of the Total Least Squares by a New S-Lemma. WCGO 2019: 221-227 - [i15]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) - [i14]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
- [j90]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) - [j89]Shizhou Zhang, Qi Zhang, Xing Wei, Yanning Zhang, Yong Xia:
Person Re-Identification With Triplet Focal Loss. IEEE Access 6: 78092-78099 (2018) - [j88]Junjie Zhang, Yong Xia, Hengfei Cui, Yanning Zhang:
Pulmonary nodule detection in medical images: A survey. Biomed. Signal Process. Control. 43: 138-147 (2018) - [j87]Yong Xia, Naren Wulan, Kuanquan Wang, Henggui Zhang:
Detecting atrial fibrillation by deep convolutional neural networks. Comput. Biol. Medicine 93: 84-92 (2018) - [j86]Mei-Jia Yang, Yong Xia, Jiulin Wang, Jiming Peng:
Efficiently solving total least squares with Tikhonov identical regularization. Comput. Optim. Appl. 70(2): 571-592 (2018) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]Yong Xia, Zhe Li:
VBI-MRF model for image segmentation. Multim. Tools Appl. 77(11): 13343-13361 (2018) - [j80]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) - [j79]Na Li, Yong Xia:
Affective image classification via semi-supervised learning from web images. Multim. Tools Appl. 77(23): 30633-30650 (2018) - [j78]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) - [j77]Zuping Wu, Yong Xia, Shu Wang:
Approximating the weighted maximin dispersion problem over an $$\ell _p$$ ℓ p -ball: SDP relaxation is misleading. Optim. Lett. 12(4): 875-883 (2018) - [j76]Yong Xia, Longfei Wang, Shu Wang:
Minimizing the sum of linear fractional functions over the cone of positive semidefinite matrices: Approximation and applications. Oper. Res. Lett. 46(1): 76-80 (2018) - [j75]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) - [j74]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) - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. MICCAI (2) 2018: 12-20 - [c77]Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
Multiscale Network Followed Network Model for Retinal Vessel Segmentation. MICCAI (2) 2018: 119-126 - [c76]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 - [c75]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 - [c74]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 - [c73]Yicheng Wu, Yong Xia, Yanning Zhang:
Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images. PRCV (2) 2018: 250-258 - [i13]Benteng Ma, Yong Xia:
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification. CoRR abs/1807.00284 (2018) - [i12]Junjie Zhang, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency. CoRR abs/1807.00598 (2018) - [i11]Hongyu Wang, Yong Xia:
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography. CoRR abs/1807.03058 (2018) - [i10]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) - [i9]Yutong Xie, Jianpeng Zhang, Yong Xia:
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. CoRR abs/1807.08488 (2018) - [i8]Yongsheng Pan, Yong Xia:
Residual Network based Aggregation Model for Skin Lesion Classification. CoRR abs/1807.09150 (2018) - 2017
- [j73]Benteng Ma, Yong Xia:
A tribe competition-based genetic algorithm for feature selection in pattern classification. Appl. Soft Comput. 58: 328-338 (2017) - [j72]Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham:
Cell image segmentation using bacterial foraging optimization. Appl. Soft Comput. 58: 770-782 (2017) - [j71]Shui Yu, Shanzhuo Zhang, Kuanquan Wang, Yong Xia, Henggui Zhang:
An efficient and fast GPU-based algorithm for visualizing large volume of 4D data from virtual heart simulations. Biomed. Signal Process. Control. 35: 8-18 (2017) - [j70]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) - [j69]Zexuan Ji, Yong Xia, Yuhui Zheng:
Robust generative asymmetric GMM for brain MR image segmentation. Comput. Methods Programs Biomed. 151: 123-138 (2017) - [j68]Chunna Tian, Yong Xia, Xiangnan Zhang, Xinbo Gao:
Natural scene text detection with MC-MR candidate extraction and coarse-to-fine filtering. Neurocomputing 260: 112-122 (2017) - [j67]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) - [j66]