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ORCIDXiaoying Tang 0001
Person information
- affiliation: Southern University of Science and Technology, Shenzhen, Guangdong, China
Other persons with the same name
- Xiaoying Tang (aka: Xiao-Ying Tang) — disambiguation page
- Xiaoying Tang 0002
![[0000-0003-3955-1195]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3955-1195")
(aka: Wanrong Tang) — Chinese University of Hong Kong-Shenzhen (CUHK-SZ), Shenzhen, China - Xiaoying Tang 0003 — Beijing Institute of Technology, School of Life Sciences, Beijing, China
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2020 – today
- 2025
[j26]Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo:
Accurate and Anti-Interference Control of Computer Vision-Assisted Light-Driven Liquid Crystal Elastomer Actuator. Adv. Intell. Syst. 7(3) (2025)- [j25]Pengxiao Xu, Junyan Lyu, Li Lin, Pujin Cheng, Xiaoying Tang:
LF-SynthSeg: Label-Free Brain Tissue-Assisted Tumor Synthesis and Segmentation. IEEE J. Biomed. Health Informatics 29(2): 1101-1112 (2025) - [j24]Yixiang Liu, Li Lin, Kenneth K. Y. Wong, Xiaoying Tang:
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 29(4): 2845-2858 (2025) - [j23]Li Lin, Yixiang Liu, Jiewei Wu, Pujin Cheng, Zhiyuan Cai, Kenneth K. Y. Wong, Xiaoying Tang:
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 44(3): 1127-1139 (2025) - [j22]Junyan Lyu, Perry F. Bartlett, Fatima A. Nasrallah, Xiaoying Tang:
Masked Deformation Modeling for Volumetric Brain MRI Self-Supervised Pre-Training. IEEE Trans. Medical Imaging 44(3): 1596-1607 (2025) - 2024
- [j21]Jiaming Qiu, Weikai Huang, Yijin Huang, Nanxi Yu, Xiaoying Tang:
AugPaste: A one-shot approach for diabetic retinopathy detection. Biomed. Signal Process. Control. 96: 106489 (2024) - [j20]Huaqing He, Jiaming Qiu, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection. Comput. Biol. Medicine 177: 108613 (2024) - [j19]Huilin Yang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment. Pattern Recognit. 154: 110569 (2024) - [j18]Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo:
Dual Teacher Knowledge Distillation With Domain Alignment for Face Anti-Spoofing. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13177-13189 (2024) - [j17]Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 28(5): 2806-2817 (2024) - [j16]Zhiyuan Cai, Li Lin, Huaqing He, Pujin Cheng, Xiaoying Tang:
Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation. IEEE Trans. Medical Imaging 43(12): 4419-4429 (2024) - [c91]Kai Pan, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Joint Super-Resolution and Modality Translation Network for Multi-Contrast Arbitrary-Scale Isotropic MRI Reconstruction. BIBM 2024: 1110-1115 - [c90]Zhangchi Wang, Yijin Huang, Yidu Wu, Pujin Cheng, Li Lin, Qinghai Guo, Xiaoying Tang:
Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification. BIBM 2024: 1690-1694 - [c89]Jianwen Liang, Li Lin, Junyan Lyu, Xiaoying Tang:
Masked Modality Complementary Modeling for Brain Tumor Segmentation. BIBM 2024: 3475-3480 - [c88]Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. ISBI 2024: 1-5 - [c87]Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization. ISBI 2024: 1-5 - [c86]Sirui Li, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. ISBI 2024: 1-5 - [c85]Tianyunxi Wei, Yijin Huang, Li Lin, Pujin Cheng, Sirui Li, Xiaoying Tang:
Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification. ISBI 2024: 1-5 - [c84]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. MICCAI (12) 2024: 120-130 - [c83]Zhiyuan Cai, Tianyunxi Wei, Li Lin, Hao Chen, Xiaoying Tang:
BPaCo: Balanced Parametric Contrastive Learning for Long-Tailed Medical Image Classification. MICCAI (1) 2024: 383-393 - [c82]Qiuting Hu, Li Lin, Pujin Cheng, Xiaoying Tang:
CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation. MLMI@MICCAI (1) 2024: 350-360 - [c81]Nanxi Yu, Zhiyuan Cai, Yijin Huang, Xiaoying Tang:
SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model. TAI4H 2024: 109-122 - [i38]Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo:
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing. CoRR abs/2401.01102 (2024) - [i37]Yixiang Liu, Li Lin, Kenneth K. Y. Wong, Xiaoying Tang:
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation. CoRR abs/2401.14074 (2024) - [i36]Li Lin, Yixiang Liu, Jiewei Wu, Pujin Cheng, Zhiyuan Cai, Kenneth K. Y. Wong, Xiaoying Tang:
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation. CoRR abs/2402.17502 (2024) - [i35]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification. CoRR abs/2403.07576 (2024) - [i34]Tianyunxi Wei, Yijin Huang, Li Lin, Pujin Cheng, Sirui Li, Xiaoying Tang:
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification. CoRR abs/2406.10801 (2024) - [i33]Yijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification. CoRR abs/2408.02426 (2024) - [i32]Sirui Li, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
Text-guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. CoRR abs/2408.14770 (2024) - [i31]Jin Lyu, Tianyi Zhu, Yi Gu, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang, Liang An:
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. CoRR abs/2412.00837 (2024) - [i30]Shiyun Chen, Li Lin, Pujin Cheng, ZhiCheng Jin, JianJian Chen, HaiDong Zhu, Kenneth K. Y. Wong, Xiaoying Tang:
Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment. CoRR abs/2412.20418 (2024) - 2023
- [j15]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. Medical Image Anal. 90: 102937 (2023) - [j14]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j13]Xiao Li, Guangzheng Jiang, Xiaoying Tang, Yinhui Zuo, Shengbiao Hu, Chao Zhang, Yaqi Wang, Yibo Wang, Libo Zheng:
Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau. Remote. Sens. 15(18): 4473 (2023) - [j12]Mowen Yin, Weikai Huang, Zhichao Liang, Quanying Liu, Xiaoying Tang:
Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. IEEE Trans. Cogn. Dev. Syst. 15(4): 2228-2240 (2023) - [j11]Zhonghua Wang, Junyan Lyu, Xiaoying Tang:
autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation. IEEE Trans. Medical Imaging 42(12): 3501-3511 (2023) - [c80]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. ICCV 2023: 21304-21314 - [c79]Songlin Yan, Xiujiao Chen, Xiaoying Tang, Xuebing Chi:
Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model. IDEAL 2023: 332-344 - [c78]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. ISBI 2023: 1-5 - [c77]Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah:
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. ISBI 2023: 1-4 - [c76]Huilin Yang, Roger C. Tam, Xiaoying Tang:
Whole-Heart Reconstruction with Explicit Topology Integrated Learning. MICCAI (6) 2023: 106-115 - [c75]Junyan Lyu, Pengxiao Xu, Fatima A. Nasrallah, Xiaoying Tang:
Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation. MICCAI (4) 2023: 385-394 - [c74]Yijie Pang, Pujin Cheng, Junyan Lyu, Fan Lin, Xiaoying Tang:
Prior Guided 3D Medical Image Landmark Localization. MIDL 2023: 1163-1175 - [c73]Yuanyuan Wei, Roger C. Tam, Xiaoying Tang:
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. MIDL 2023: 1798-1812 - [c72]Silong Li, Jiaming Qiu, Yijin Huang, Xiaoying Tang, Terry Tao Ye:
An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. Image Processing 2023 - [c71]Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang:
Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. MLMI@MICCAI (1) 2023: 196-206 - [c70]Sirui Li, Fuheng Zhang, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. MLMI@MICCAI (2) 2023: 303-313 - [c69]Fuheng Zhang, Sirui Li, Tianyunxi Wei, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. MLMI@MICCAI (2) 2023: 314-324 - [i29]Pujin Cheng, Li Lin, Yijin Huang, Huaqing He, Wenhan Luo, Xiaoying Tang:
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. CoRR abs/2303.04603 (2023) - [i28]Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang:
Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. CoRR abs/2304.05635 (2023) - [i27]Yuanyuan Wei, Roger C. Tam, Xiaoying Tang:
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. CoRR abs/2304.06258 (2023) - [i26]Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection. CoRR abs/2305.11504 (2023) - [i25]Linfeng Liu, Junyan Lyu, Siyu Liu, Xiaoying Tang, Shekhar S. Chandra, Fatima A. Nasrallah:
TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. CoRR abs/2307.07177 (2023) - [i24]Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang:
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. CoRR abs/2307.12577 (2023) - [i23]Kai Pan, Linyang Li, Li Lin, Pujin Cheng, Junyan Lyu, Lei Xi, Xiaoying Tang:
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. CoRR abs/2312.07226 (2023) - [i22]Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation. CoRR abs/2312.07969 (2023) - 2022
- [j10]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. IEEE Trans. Medical Imaging 41(12): 3699-3711 (2022) - [c68]Pinyuan Zhong, Ran Cheng, Xiaoying Tang:
Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning. EMBC 2022: 230-233 - [c67]Weikai Huang, Xiangyu Wang, Yijin Huang, Fan Lin, Xiaoying Tang:
Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer. EMBC 2022: 471-474 - [c66]Kai Pan, Pujin Cheng, Ziqi Huang, Li Lin, Xiaoying Tang:
Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. EMBC 2022: 5062-5065 - [c65]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. ISBI 2022: 1-4 - [c64]Yijin Huang, Weikai Huang, Wenhao Luo, Xiaoying Tang:
Lesion2void: Unsupervised Anomaly Detection in Fundus Images. ISBI 2022: 1-5 - [c63]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. ISBI 2022: 1-5 - [c62]Zhonghua Wang, Junyan Lyu, Wenhao Luo, Xiaoying Tang:
Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images. ISBI 2022: 1-4 - [c61]Weikai Huang, Yijin Huang, Xiaoying Tang:
AugPaste: One-Shot Anomaly Detection for Medical Images. OMIA@MICCAI 2022: 1-11 - [c60]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. MLMI@MICCAI 2022: 32-42 - [c59]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. MICCAI (8) 2022: 88-98 - [c58]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. MICCAI (6) 2022: 571-581 - [c57]Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang:
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. MIDL 2022: 477-492 - [i21]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. CoRR abs/2201.03795 (2022) - [i20]Linkai Peng, Li Lin, Pujin Cheng, Ziqi Huang, Xiaoying Tang:
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. CoRR abs/2201.04812 (2022) - [i19]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i18]Huaqing He, Li Lin, Zhiyuan Cai, Xiaoying Tang:
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. CoRR abs/2203.00461 (2022) - [i17]Linkai Peng, Li Lin, Pujin Cheng, Huaqing He, Xiaoying Tang:
Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation. CoRR abs/2203.03631 (2022) - [i16]Ziqi Huang, Li Lin, Pujin Cheng, Linkai Peng, Xiaoying Tang:
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion. CoRR abs/2203.04586 (2022) - [i15]Zhiyuan Cai, Li Lin, Huaqing He, Xiaoying Tang:
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. CoRR abs/2203.04614 (2022) - [i14]Weikai Huang, Yijin Huang, Xiaoying Tang:
LesionPaste: One-Shot Anomaly Detection for Medical Images. CoRR abs/2203.06354 (2022) - [i13]Ziqi Huang, Li Lin, Pujin Cheng, Kai Pan, Xiaoying Tang:
DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. CoRR abs/2203.06920 (2022) - [i12]Junyan Lyu, Yiqi Zhang, Yijin Huang, Li Lin, Pujin Cheng, Xiaoying Tang:
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. CoRR abs/2207.13249 (2022) - [i11]Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading. CoRR abs/2210.10969 (2022) - [i10]Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation. CoRR abs/2212.05566 (2022) - [i9]Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment. CoRR abs/2212.10541 (2022) - 2021
- [j9]Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Wei Chen, Ed X. Wu, Chunming Li, Xiaoying Tang:
A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set. Medical Image Anal. 68: 101884 (2021) - [j8]Jiong Wu, Xiaoying Tang:
Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles. Pattern Recognit. 115: 107904 (2021) - [j7]Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images. IEEE J. Biomed. Health Informatics 25(2): 526-535 (2021) - [c56]Songlin Yan, Xiujiao Chen, Jiehua Sun, Xiaoying Tang, Xuebing Chi:
Non-Mydriatic Fundus Images Enhancement Based on Conformal Mapping Extension. CCIS 2021: 218-223 - [c55]Jiong Wu, Shuang Zhou, Qi Yang, Yue Zhang, Xiaoying Tang:
Multi-modality Large Deformation Diffeomorphic Metric Mapping Driven by Single-modality Images. EMBC 2021: 2610-2613 - [c54]Pinyuan Zhong, Yue Zhang, Xiaoying Tang:
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization. EMBC 2021: 2633-2636 - [c53]Jiewei Wu, Guiwen Lyu, Kai Wang, Xiaoying Tang:
A Hybrid Learning Pipeline for Automated Diagnosis of First-Episode Schizophrenia Utilizing T1-weighted Images. EMBC 2021: 2761-2764 - [c52]Zhonghua Wang, Li Lin, Jiewei Wu, Xiaoying Tang:
Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images. EMBC 2021: 2790-2793 - [c51]Xueying Wang, Xiaoya Liu, Li Lin, Qiongyu Guo, Xiaoying Tang:
Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis. EMBC 2021: 2798-2801 - [c50]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. ISBI 2021: 521-525 - [c49]Li Lin, Pujin Cheng, Zhonghua Wang, Meng Li, Kai Wang, Xiaoying Tang:
Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. ISBI 2021: 1314-1318 - [c48]Zhonghua Wang, Junyan Lyu, Wenhao Luo, Xiaoying Tang:
Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation. OMIA@MICCAI 2021: 1-10 - [c47]Linkai Peng, Li Lin, Pujin Cheng, Zhonghua Wang, Xiaoying Tang:
FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. OMIA@MICCAI 2021: 42-51 - [c46]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. MICCAI (8) 2021: 65-75 - [c45]Pujin Cheng, Li Lin, Yijin Huang, Junyan Lyu, Xiaoying Tang:
I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. MICCAI (8) 2021: 87-96 - [c44]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. MICCAI (2) 2021: 113-123 - [i8]Li Lin, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang:
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. CoRR abs/2107.04823 (2021) - [i7]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. CoRR abs/2107.08274 (2021) - [i6]Huilin Yang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. CoRR abs/2108.00690 (2021) - [i5]Pinyuan Zhong, Yue Zhang, Xiaoying Tang:
Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization. CoRR abs/2109.06817 (2021) - [i4]Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang:
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation. CoRR abs/2110.14160 (2021) - 2020
- [j6]Yue Zhang, Benxiang Jiang, Jiong Wu, Dongcen Ji, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images. IEEE Access 8: 76056-76068 (2020) - [j5]Yijin Huang, Zhiquan Zhong, Jin Yuan, Xiaoying Tang:
Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network. Biomed. Signal Process. Control. 60: 101939 (2020) - [j4]Jiong Wu, Xiaoying Tang:
A Large Deformation Diffeomorphic Framework for Fast Brain Image Registration via Parallel Computing and Optimization. Neuroinformatics 18(2): 251-266 (2020) - [c43]Yue Zhang, Jiewei Wu, Weikai Huang, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (1) 2020: 391-400 - [c42]Pujin Cheng, Junyan Lyu, Yijin Huang, Xiaoying Tang:
Probability distribution guided optic disc and cup segmentation from fundus images. EMBC 2020: 1976-1979 - [c41]Yue Zhang, Jiong Wu, Benxiang Jiang, Dongcen Ji, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segmentation for Liver Tumor. ISBI 2020: 1193-1196 - [c40]Yue Zhang, Jiong Wu, Simao Wang, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Liver Guided Pancreas Segmentation. ISBI 2020: 1201-1204 - [c39]Yijin Huang, Li Lin, Meng Li, Jiewei Wu, Pujin Cheng, Kai Wang, Jin Yuan, Xiaoying Tang:
Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. ISBI 2020: 1369-1372 - [c38]Sun Fuhai, Xiaoying Tang:
Multi-modal MRI synthesization based on StarGAN. ISICDM 2020: 19-22 - [c37]Benxiang Jiang, Jinjing Hu, Ji Li, Yizhuo Wang, Yue Zhang, Hongjian Shi, Xiaoying Tang, Chunming Li:
Dental pulp segmentation from cone-beam computed tomography images. ISICDM 2020: 80-85 - [c36]Yue Zhang, Jiaming Qiu, Dabin Jie, Jiong Wu, Terry Tao Ye, Xiaoying Tang:
Coarse-to-fine Kidney Segmentation Incorporating Abnormality Detection and Correction. ISICDM 2020: 91-94 - [c35]Junyan Lyu, Jiaming Qiu, Lijie Deng, Yue Zhang, Terry Tao Ye, Xiaoying Tang:
Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images. ISICDM 2020: 108-111 - [c34]Zhonghua Wang, Yijin Huang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. ISICDM 2020: 126-129 - [c33]Xiaoying Tang, Yijin Huang, Li Lin, Meng Li, Jin Yuan:
Automated Diabetic Retinopathy Identification via Lesion Guided Network. ISICDM 2020: 141-144 - [c32]Xueying Wang, Xiaoya Liu, Yue Zhang, Qiongyu Guo, Xiaoying Tang:
A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis. ISICDM 2020: 173-176 - [c31]Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation. MLMI@MICCAI 2020: 101-110
2010 – 2019
- 2019
- [j3]Jiong Wu, Yue Zhang, Kai Wang, Xiaoying Tang:
Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI. IEEE Access 7: 155194-155202 (2019) - [c30]Jianghan Zhu, Yucong Huang, Zhitao Yang, Xiaoying Tang, Terry Tao Ye:
Analog Implementation of Reconfigurable Convolutional Neural Network Kernels. APCCAS 2019: 265-268 - [c29]Yue Zhang, Jiong Wu, Wanli Chen, Yilong Liu, Junyan Lyu, Hongjian Shi, Yifan Chen, Ed X. Wu, Xiaoying Tang:
Fully Automatic White Matter Hyperintensity Segmentation using U-net and Skip Connection. EMBC 2019: 974-977 - [c28]Jiong Wu, Yue Zhang, Xiaoying Tang:
Simultaneous Tissue Classification and Lateral Ventricle Segmentation via a 2D U-net Driven by a 3D Fully Convolutional Neural Network. EMBC 2019: 5928-5931 - [c27]Zhenrong Liu, Yankun Shi, Pengji Zhan, Yue Zhang, Yi Gong, Xiaoying Tang:
Automatic Corneal Ulcer Segmentation Combining Gaussian Mixture Modeling and Otsu Method. EMBC 2019: 6298-6301 - [c26]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Ed X. Wu, Xiaoying Tang:
Prostate Segmentation using 2D Bridged U-net. IJCNN 2019: 1-7 - [c25]Yue Zhang, Jiong Wu, Wanli Chen, Yifan Chen, Xiaoying Tang:
Prostate Segmentation Using Z-Net. ISBI 2019: 11-14 - [c24]Jiong Wu, Yue Zhang, Xiaoying Tang:
A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical Segmentation. ISBI 2019: 705-708 - [c23]Pinyuan Zhong, Jiong Wu, Zhe Yuan, Yue Zhang, Xiaoying Tang:
3D Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation. ISICDM 2019: 88-91 - [c22]Benxiang Jiang, Yue Zhang, Xiaoying Tang, Hongjian Shi:
Region Growing Model with Edge Restrictions for Multiple Roots Tooth Segmentation. ISICDM 2019: 171-174 - [c21]Simao Wang, Yue Zhang, Xiaoying Tang:
Fully Automatic Diameter Measurement Method Based on Retinal Vessel Segmentation. ISICDM 2019: 218-221 - [c20]Junyan Lyu, Pujin Cheng, Xiaoying Tang:
Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network. OMIA@MICCAI 2019: 112-120 - [c19]Jiong Wu, Yue Zhang, Xiaoying Tang:
A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation. MICCAI (3) 2019: 301-309 - [c18]Lin Zou, Yukun Song, Jianping Chu, Xiaoying Tang:
Whole brain volume and cortical thickness based automatic classification of Wilson's disease. SMC 2019: 819-824 - [c17]Yuanyuan Wei, Siyuan Jiang, Yuanyuan Qin, Xiaoying Tang:
Automated Classification of Amyotrophic Lateral Sclerosis Using Multi-level Whole-brain Volumes from Structural Magnetic Resonance Imaging. SMC 2019: 830-834 - [i3]Jiong Wu, Xiaoying Tang:
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles. CoRR abs/1901.01381 (2019) - 2018
- [c16]Lijie Deng, Haixiang Huang, Jin Yuan, Xiaoying Tang:
Superpixel Based Automatic Segmentation of Corneal Ulcers from Ocular Staining Images. DSP 2018: 1-5 - [c15]Yue Zhang, Wanli Chen, Yifan Chen, Xiaoying Tang:
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net. DSP 2018: 1-5 - [c14]Pucheng Yang, Huilin Yang, Yuanyuan Wei, Xiaoying Tang:
Geometry-Based Facial Expression Recognition via Large Deformation Diffeomorphic Metric Curve Mapping. ICIP 2018: 1937-1941 - [c13]Xiaoqing Tan, Christopher A. Ross, Michael I. Miller, Xiaoying Tang:
Changepoint analysis of putamen and thalamus subregions in premanifest huntington's disease. ISBI 2018: 531-535 - [c12]Lijie Deng, Haixiang Huang, Jin Yuan, Xiaoying Tang:
Automatic segmentation of corneal ulcer area based on ocular staining images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781D - [c11]Yuanyuan Wei, Zhibin Chen, Xiaoying Tang:
Classifying Alzheimer's disease using probability distribution distance of fractional anisotropy and trace from diffusion tensor imaging in combination with whole-brain segmentations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057802 - [c10]Jiong Wu, Xiaoying Tang:
Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function. Image Processing 2018: 105742S - [i2]Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang:
W-net: Bridged U-net for 2D Medical Image Segmentation. CoRR abs/1807.04459 (2018) - [i1]Yue Zhang, Wanli Chen, Yifan Chen, Xiaoying Tang:
A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net. CoRR abs/1807.10600 (2018) - 2017
- [j2]Liangyan Gui, Xiaoying Tang, José M. F. Moura:
Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's disease. NeuroImage 146: 1016-1024 (2017) - [c9]Huilin Yang, Jing Wang, Haiyun Tang, Qinle Ba, Ge Yang, Xiaoying Tang:
Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching. EMBC 2017: 4062-4065 - [c8]Jinzhi Zhang, Yuan Luo, Zihan Jiang, Xiaoying Tang:
Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations. ICSH 2017: 202-213 - [c7]Yuan Luo, Xiaoying Tang:
Automated diagnosis of Alzheimer's disease with multi-atlas based whole brain segmentations. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013712 - [c6]Qichao Sun, Lijie Deng, Jianwei Liu, Haixiang Huang, Jin Yuan, Xiaoying Tang:
Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation. FIFI/OMIA@MICCAI 2017: 101-108 - 2016
- [c5]Xiaoying Tang, Marilyn S. Albert, Michael I. Miller, Laurent Younes:
Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease. CRV 2016: 358-361 - [c4]Xiaoying Tang, Jiong Wu:
Principal component analysis of the shape deformations of the hippocampus in Alzheimer's disease. EMBC 2016: 4013-4016 - 2015
- [c3]Jingbo Ma, Heather T. Ma, Hengtong Li, Chenfei Ye, Dan Wu, Xiaoying Tang, Michael I. Miller, Susumu Mori:
A fast atlas pre-selection procedure for multi-atlas based brain segmentation. EMBC 2015: 3053-3056 - [c2]Xiaoying Tang, Kwame S. Kutten, Can Ceritoglu, Susumu Mori, Michael I. Miller:
Simultaneous skull-stripping and lateral ventricle segmentation via fast multi-atlas likelihood fusion. Image Processing 2015: 94130W - 2014
- [j1]Aigerim Djamanakova, Xiaoying Tang, Xin Li, Andreia V. Faria, Can Ceritoglu, Kenichi Oishi, Argye E. Hillis, Marilyn S. Albert, Constantine Lyketsos, Michael I. Miller, Susumu Mori:
Tools for multiple granularity analysis of brain MRI data for individualized image analysis. NeuroImage 101: 168-176 (2014) - 2013
- [c1]Jianqiao Feng, Xiaoying Tang, Minh Tang, Carey E. Priebe, Michael I. Miller:
Metric Space Structures for Computational Anatomy. MLMI 2013: 123-130
Coauthor Index
[j25] [j23] [j20] [j19] [j17] [j16] [c91] [c90] [c88] [c87] [c86] [c85] [c84] [c82] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [j15] [c80] [c78] [c74] [c70] [c69] [i29] [i26] [i24] [i23] [i22] [j10] [c66] [c63] [c60] [c58] [i20] [i17] [i16] [i13] [i12] [i11] [i10] [i9] [c50] [c49] [c47] [c46] [c45] [c44] [i8] [i7] [i6] [i4] [c42] [c39] [c34] [c20]
[j26] [j25] [j24] [j23] [j20] [j16] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c83] [c82] [i37] [i36] [i34] [i32] [i31] [i30] [j15] [j14] [c80] [c78] [c71] [c70] [c69] [i29] [i28] [i26] [i24] [i23] [i22] [j10] [c66] [c65] [c63] [c60] [c59] [c58] [c57] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i13] [i12] [i10] [i9] [c52] [c51] [c50] [c49] [c47] [c46] [c45] [c44] [i8] [i7] [i4] [c39] [c33]
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