Metric Space Structures for Computational Anatomy. - Jianqiao Feng; Xiaoying Tang 001; Minh Tang; Carey E. Priebe; Michael I. Miller (MLMI, 2013)

Tools for multiple granularity analysis of brain MRI data for individualized image analysis. - Aigerim Djamanakova; Xiaoying Tang 001; Xin Li 007; Andreia V. Faria; Can Ceritoglu; Kenichi Oishi; Argye E. Hillis; Marilyn S. Albert; Constantine Lyketsos; Michael I. Miller; Susumu Mori (NeuroImage, 2014)

A fast atlas pre-selection procedure for multi-atlas based brain segmentation. - Jingbo Ma; Heather T. Ma; Hengtong Li 001; Chenfei Ye; Dan Wu; Xiaoying Tang 001; Michael I. Miller; Susumu Mori (EMBC, 2015)

Simultaneous skull-stripping and lateral ventricle segmentation via fast multi-atlas likelihood fusion. - Xiaoying Tang 001; Kwame S. Kutten; Can Ceritoglu; Susumu Mori; Michael I. Miller (Image Processing, 2015)

Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease. - Xiaoying Tang 001; Marilyn S. Albert; Michael I. Miller; Laurent Younes (CRV, 2016)

Principal component analysis of the shape deformations of the hippocampus in Alzheimer's disease. - Xiaoying Tang 001; Jiong Wu (EMBC, 2016)

Analysis of mitochondrial shape dynamics using large deformation diffeomorphic metric curve matching. - Huilin Yang; Jing Wang; Haiyun Tang; Qinle Ba; Ge Yang 002; Xiaoying Tang 001 (EMBC, 2017)

Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations. - Jinzhi Zhang; Yuan Luo; Zihan Jiang; Xiaoying Tang 001 (ICSH, 2017)

Automated diagnosis of Alzheimer's disease with multi-atlas based whole brain segmentations. - Yuan Luo; Xiaoying Tang 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation. - Qichao Sun; Lijie Deng; Jianwei Liu; Haixiang Huang; Jin Yuan; Xiaoying Tang 001 (FIFI/OMIA@MICCAI, 2017)

Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer's disease. - Liangyan Gui; Xiaoying Tang 001; José M. F. Moura (NeuroImage, 2017)

Superpixel Based Automatic Segmentation of Corneal Ulcers from Ocular Staining Images. - Lijie Deng; Haixiang Huang; Jin Yuan; Xiaoying Tang 001 (DSP, 2018)

A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net. - Yue Zhang 033; Wanli Chen; Yifan Chen 001; Xiaoying Tang 001 (DSP, 2018)

Geometry-Based Facial Expression Recognition via Large Deformation Diffeomorphic Metric Curve Mapping. - Pucheng Yang; Huilin Yang; Yuanyuan Wei 001; Xiaoying Tang 001 (ICIP, 2018)

Changepoint analysis of putamen and thalamus subregions in premanifest huntington's disease. - Xiaoqing Tan; Christopher A. Ross; Michael I. Miller; Xiaoying Tang 001 (ISBI, 2018)

Classifying Alzheimer's disease using probability distribution distance of fractional anisotropy and trace from diffusion tensor imaging in combination with whole-brain segmentations. - Yuanyuan Wei 001; Zhibin Chen; Xiaoying Tang 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Automatic segmentation of corneal ulcer area based on ocular staining images. - Lijie Deng; Haixiang Huang; Jin Yuan; Xiaoying Tang 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function. - Jiong Wu; Xiaoying Tang 001 (Image Processing, 2018)

W-net: Bridged U-net for 2D Medical Image Segmentation. - Wanli Chen; Yue Zhang 033; Junjun He; Yu Qiao 001; Yifan Chen 001; Hongjian Shi; Xiaoying Tang 001 (CoRR, 2018)

Analog Implementation of Reconfigurable Convolutional Neural Network Kernels. - Jianghan Zhu; Yucong Huang; Zhitao Yang; Xiaoying Tang 001; Terry Tao Ye (APCCAS, 2019)

Automatic Corneal Ulcer Segmentation Combining Gaussian Mixture Modeling and Otsu Method. - Zhenrong Liu; Yankun Shi; Pengji Zhan; Yue Zhang 033; Yi Gong 001; Xiaoying Tang 001 (EMBC, 2019)

Simultaneous Tissue Classification and Lateral Ventricle Segmentation via a 2D U-net Driven by a 3D Fully Convolutional Neural Network. - Jiong Wu; Yue Zhang 033; Xiaoying Tang 001 (EMBC, 2019)

Fully Automatic White Matter Hyperintensity Segmentation using U-net and Skip Connection. - Yue Zhang 033; Jiong Wu; Wanli Chen; Yilong Liu; Junyan Lyu; Hongjian Shi; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (EMBC, 2019)

Prostate Segmentation using 2D Bridged U-net. - Wanli Chen; Yue Zhang 033; Junjun He; Yu Qiao 001; Yifan Chen 001; Hongjian Shi; Ed X. Wu; Xiaoying Tang 001 (IJCNN, 2019)

A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical Segmentation. - Jiong Wu; Yue Zhang 033; Xiaoying Tang 001 (ISBI, 2019)

Prostate Segmentation Using Z-Net. - Yue Zhang 033; Jiong Wu; Wanli Chen; Yifan Chen 001; Xiaoying Tang 001 (ISBI, 2019)

Region Growing Model with Edge Restrictions for Multiple Roots Tooth Segmentation. - Benxiang Jiang; Yue Zhang 033; Xiaoying Tang 001; Hongjian Shi (ISICDM, 2019)

Fully Automatic Diameter Measurement Method Based on Retinal Vessel Segmentation. - Simao Wang; Yue Zhang 033; Xiaoying Tang 001 (ISICDM, 2019)

3D Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation. - Pinyuan Zhong; Jiong Wu; Zhe Yuan; Yue Zhang 033; Xiaoying Tang 001 (ISICDM, 2019)

Fundus Image Based Retinal Vessel Segmentation Utilizing a Fast and Accurate Fully Convolutional Network. - Junyan Lyu; Pujin Cheng; Xiaoying Tang 001 (OMIA@MICCAI, 2019)

A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation. - Jiong Wu; Yue Zhang 033; Xiaoying Tang 001 (MICCAI (3), 2019)

Automated Classification of Amyotrophic Lateral Sclerosis Using Multi-level Whole-brain Volumes from Structural Magnetic Resonance Imaging. - Yuanyuan Wei 001; Siyuan Jiang; Yuanyuan Qin; Xiaoying Tang 001 (SMC, 2019)

Whole brain volume and cortical thickness based automatic classification of Wilson's disease. - Lin Zou; Yukun Song; Jianping Chu; Xiaoying Tang 001 (SMC, 2019)

Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI. - Jiong Wu; Yue Zhang 033; Kai Wang 063; Xiaoying Tang 001 (IEEE Access, 2019)

Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles. - Jiong Wu; Xiaoying Tang 001 (CoRR, 2019)

Utility of Brain Parcellation in Enhancing Brain Tumor Segmentation and Survival Prediction. - Yue Zhang 033; Jiewei Wu; Weikai Huang; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (BrainLes@MICCAI (1), 2020)

Probability distribution guided optic disc and cup segmentation from fundus images. - Pujin Cheng; Junyan Lyu; Yijin Huang; Xiaoying Tang 001 (EMBC, 2020)

Automated Hemorrhage Detection from Coarsely Annotated Fundus Images in Diabetic Retinopathy. - Yijin Huang; Li Lin 006; Meng Li; Jiewei Wu; Pujin Cheng; Kai Wang 063; Jin Yuan; Xiaoying Tang 001 (ISBI, 2020)

Deep Learning and Unsupervised Fuzzy C-Means Based Level-Set Segmentation for Liver Tumor. - Yue Zhang 033; Jiong Wu; Benxiang Jiang; Dongcen Ji; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (ISBI, 2020)

Liver Guided Pancreas Segmentation. - Yue Zhang 033; Jiong Wu; Simao Wang; Yilong Liu; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (ISBI, 2020)

Multi-modal MRI synthesization based on StarGAN. - Sun Fuhai; Xiaoying Tang 001 (ISICDM, 2020)

Dental pulp segmentation from cone-beam computed tomography images. - Benxiang Jiang; Jinjing Hu; Ji Li; Yizhuo Wang; Yue Zhang 033; Hongjian Shi; Xiaoying Tang 001; Chunming Li (ISICDM, 2020)

Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images. - Junyan Lyu; Jiaming Qiu; Lijie Deng; Yue Zhang 033; Terry Tao Ye; Xiaoying Tang 001 (ISICDM, 2020)

Automated Diabetic Retinopathy Identification via Lesion Guided Network. - Xiaoying Tang 001; Yijin Huang; Li Lin 006; Meng Li; Jin Yuan (ISICDM, 2020)

Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. - Zhonghua Wang; Yijin Huang; Junyan Lyu; Pujin Cheng; Xiaoying Tang 001 (ISICDM, 2020)

A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis. - Xueying Wang; Xiaoya Liu; Yue Zhang 033; Qiongyu Guo; Xiaoying Tang 001 (ISICDM, 2020)

Coarse-to-fine Kidney Segmentation Incorporating Abnormality Detection and Correction. - Yue Zhang 033; Jiaming Qiu; Dabin Jie; Jiong Wu; Terry Tao Ye; Xiaoying Tang 001 (ISICDM, 2020)

A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation. - Yue Zhang 033; Jiong Wu; Yilong Liu; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (MLMI@MICCAI, 2020)

Deep Learning Initialized and Gradient Enhanced Level-Set Based Segmentation for Liver Tumor From CT Images. - Yue Zhang 033; Benxiang Jiang; Jiong Wu; Dongcen Ji; Yilong Liu; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (IEEE Access, 2020)

Efficient and robust optic disc detection and fovea localization using region proposal network and cascaded network. - Yijin Huang; Zhiquan Zhong; Jin Yuan; Xiaoying Tang 001 (Biomed. Signal Process. Control., 2020)

A Large Deformation Diffeomorphic Framework for Fast Brain Image Registration via Parallel Computing and Optimization. - Jiong Wu; Xiaoying Tang 001 (Neuroinformatics, 2020)

Non-Mydriatic Fundus Images Enhancement Based on Conformal Mapping Extension. - Songlin Yan; Xiujiao Chen; Jiehua Sun; Xiaoying Tang 001; Xuebing Chi (CCIS, 2021)

Generative Adversarial Training with Dual-Attention for Vascular Segmentation and Topological Analysis. - Xueying Wang; Xiaoya Liu; Li Lin 006; Qiongyu Guo; Xiaoying Tang 001 (EMBC, 2021)

Multi-task Learning Based Ocular Disease Discrimination and FAZ Segmentation Utilizing OCTA Images. - Zhonghua Wang; Li Lin 006; Jiewei Wu; Xiaoying Tang 001 (EMBC, 2021)

A Hybrid Learning Pipeline for Automated Diagnosis of First-Episode Schizophrenia Utilizing T1-weighted Images. - Jiewei Wu; Guiwen Lyu; Kai Wang 063; Xiaoying Tang 001 (EMBC, 2021)

Multi-modality Large Deformation Diffeomorphic Metric Mapping Driven by Single-modality Images. - Jiong Wu; Shuang Zhou 022; Qi Yang; Yue Zhang 033; Xiaoying Tang 001 (EMBC, 2021)

Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization. - Pinyuan Zhong; Yue Zhang 033; Xiaoying Tang 001 (EMBC, 2021)

Prior Guided Fundus Image Quality Enhancement Via Contrastive Learning. - Pujin Cheng; Li Lin 006; Yijin Huang; Junyan Lyu; Xiaoying Tang 001 (ISBI, 2021)

Automated Segmentation Of Corneal Nerves In Confocal Microscopy Via Contrastive Learning Based Synthesis And Quality Enhancement. - Li Lin 006; Pujin Cheng; Zhonghua Wang; Meng Li; Kai Wang 063; Xiaoying Tang 001 (ISBI, 2021)

I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive Constraining. - Pujin Cheng; Li Lin 006; Yijin Huang; Junyan Lyu; Xiaoying Tang 001 (MICCAI (8), 2021)

Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images. - Yijin Huang; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (MICCAI (2), 2021)

BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images. - Li Lin 006; Zhonghua Wang; Jiewei Wu; Yijin Huang; Junyan Lyu; Pujin Cheng; Jiong Wu; Xiaoying Tang 001 (MICCAI (8), 2021)

FARGO: A Joint Framework for FAZ and RV Segmentation from OCTA Images. - Linkai Peng; Li Lin 006; Pujin Cheng; Zhonghua Wang; Xiaoying Tang 001 (OMIA@MICCAI, 2021)

Adjacent Scale Fusion and Corneal Position Embedding for Corneal Ulcer Segmentation. - Zhonghua Wang; Junyan Lyu; Wenhao Luo; Xiaoying Tang 001 (OMIA@MICCAI, 2021)

LDDMM-Face: Large Deformation Diffeomorphic Metric Learning for Flexible and Consistent Face Alignment. - Huilin Yang; Junyan Lyu; Pujin Cheng; Xiaoying Tang 001 (CoRR, 2021)

Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation. - Yijin Huang; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (CoRR, 2021)

A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set. - Yue Zhang 033; Jiong Wu; Yilong Liu; Yifan Chen 001; Wei Chen; Ed X. Wu; Chunming Li; Xiaoying Tang 001 (Medical Image Anal., 2021)

Brain segmentation based on multi-atlas and diffeomorphism guided 3D fully convolutional network ensembles. - Jiong Wu; Xiaoying Tang 001 (Pattern Recognit., 2021)

MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation From T1-Weighted Magnetic Resonance Images. - Yue Zhang 033; Jiong Wu; Yilong Liu; Yifan Chen 001; Ed X. Wu; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2021)

Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer. - Weikai Huang; Xiangyu Wang; Yijin Huang; Fan Lin; Xiaoying Tang 001 (EMBC, 2022)

Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images. - Kai Pan; Pujin Cheng; Ziqi Huang; Li Lin 006; Xiaoying Tang 001 (EMBC, 2022)

Utilizing average symmetrical surface distance in active shape modeling for subcortical surface generation with slow-fast learning. - Pinyuan Zhong; Ran Cheng; Xiaoying Tang 001 (EMBC, 2022)

Corolla: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading. - Zhiyuan Cai; Li Lin 006; Huaqing He; Xiaoying Tang 001 (ISBI, 2022)

Lesion2void: Unsupervised Anomaly Detection in Fundus Images. - Yijin Huang; Weikai Huang; Wenhao Luo; Xiaoying Tang 001 (ISBI, 2022)

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning. - Linkai Peng; Li Lin 006; Pujin Cheng; Ziqi Huang; Xiaoying Tang 001 (ISBI, 2022)

Superpixel Inpainting For Self-Supervised Skin Lesion Segmentation from Dermoscopic Images. - Zhonghua Wang; Junyan Lyu; Wenhao Luo; Xiaoying Tang 001 (ISBI, 2022)

Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification. - Zhiyuan Cai; Li Lin 006; Huaqing He; Xiaoying Tang 001 (MICCAI (8), 2022)

AugPaste: One-Shot Anomaly Detection for Medical Images. - Weikai Huang; Yijin Huang; Xiaoying Tang 001 (OMIA@MICCAI, 2022)

DS3-Net: Difficulty-Perceived Common-to-T1ce Semi-supervised Multimodal MRI Synthesis Network. - Ziqi Huang; Li Lin 006; Pujin Cheng; Kai Pan; Xiaoying Tang 001 (MICCAI (6), 2022)

Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation. - Linkai Peng; Li Lin 006; Pujin Cheng; Huaqing He; Xiaoying Tang 001 (MLMI@MICCAI, 2022)

JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection. - Huaqing He; Li Lin 006; Zhiyuan Cai; Xiaoying Tang 001 (MIDL, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

Student Become Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation. - Linkai Peng; Li Lin 006; Pujin Cheng; Huaqing He; Xiaoying Tang 001 (CoRR, 2022)

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion. - Ziqi Huang; Li Lin 006; Pujin Cheng; Linkai Peng; Xiaoying Tang 001 (CoRR, 2022)

LesionPaste: One-Shot Anomaly Detection for Medical Images. - Weikai Huang; Yijin Huang; Xiaoying Tang 001 (CoRR, 2022)

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network. - Ziqi Huang; Li Lin 006; Pujin Cheng; Kai Pan; Xiaoying Tang 001 (CoRR, 2022)

AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation. - Junyan Lyu; Yiqi Zhang; Yijin Huang; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2022)

PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. - Pujin Cheng; Li Lin 006; Junyan Lyu; Yijin Huang; Wenhan Luo; Xiaoying Tang 001 (ICCV, 2023)

Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model. - Songlin Yan; Xiujiao Chen; Xiaoying Tang 001; Xuebing Chi (IDEAL, 2023)

Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment. - Juntao Chen; Li Lin 006; Pujin Cheng; Yijin Huang; Xiaoying Tang 001 (ISBI, 2023)

TriFormer: A Multi-modal Transformer Framework For Mild Cognitive Impairment Conversion Prediction. - Linfeng Liu; Junyan Lyu; Siyu Liu 002; Xiaoying Tang 001; Shekhar S. Chandra; Fatima A. Nasrallah (ISBI, 2023)

Learning Ontology-Based Hierarchical Structural Relationship for Whole Brain Segmentation. - Junyan Lyu; Pengxiao Xu; Fatima A. Nasrallah; Xiaoying Tang 001 (MICCAI (4), 2023)

Whole-Heart Reconstruction with Explicit Topology Integrated Learning. - Huilin Yang; Roger C. Tam; Xiaoying Tang 001 (MICCAI (6), 2023)

MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging. - Yuanyuan Wei 001; Roger C. Tam; Xiaoying Tang 001 (MIDL, 2023)

Prior Guided 3D Medical Image Landmark Localization. - Yijie Pang; Pujin Cheng; Junyan Lyu; Fan Lin; Xiaoying Tang 001 (MIDL, 2023)

An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. - Silong Li; Jiaming Qiu; Yijin Huang; Xiaoying Tang 001; Terry Tao Ye (Image Processing, 2023)

CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification. - Sirui Li; Fuheng Zhang; Tianyunxi Wei; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (2), 2023)

Unifying and Personalizing Weakly-Supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation. - Li Lin 006; Jiewei Wu; Yixiang Liu; Kenneth K. Y. Wong; Xiaoying Tang 001 (MLMI@MICCAI (1), 2023)

MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data. - Fuheng Zhang; Sirui Li; Tianyunxi Wei; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (2), 2023)

Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement. - Pujin Cheng; Li Lin 006; Yijin Huang; Huaqing He; Wenhan Luo; Xiaoying Tang 001 (CoRR, 2023)

JOINEDTrans: Prior Guided Multi-task Transformer for Joint Optic Disc/Cup Segmentation and Fovea Detection. - Huaqing He; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (CoRR, 2023)

Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior. - Kai Pan; Linyang Li; Li Lin 006; Pujin Cheng; Junyan Lyu; Lei Xi; Xiaoying Tang 001 (CoRR, 2023)

Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau. - Xiao Li; Guangzheng Jiang; Xiaoying Tang 001; Yinhui Zuo; Shengbiao Hu; Chao Zhang; Yaqi Wang; Yibo Wang; Libo Zheng (Remote. Sens., 2023)

YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation. - Li Lin 006; Linkai Peng; Huaqing He; Pujin Cheng; Jiewei Wu; Kenneth K. Y. Wong; Xiaoying Tang 001 (Medical Image Anal., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

Network Analysis on Cortical Morphometry in First-Episode Schizophrenia. - Mowen Yin; Weikai Huang; Zhichao Liang; Quanying Liu; Xiaoying Tang 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin Lesion Segmentation. - Zhonghua Wang; Junyan Lyu; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2023)

Masked Modality Complementary Modeling for Brain Tumor Segmentation. - Jianwen Liang; Li Lin 006; Junyan Lyu; Xiaoying Tang 001 (BIBM, 2024)

Joint Super-Resolution and Modality Translation Network for Multi-Contrast Arbitrary-Scale Isotropic MRI Reconstruction. - Kai Pan; Li Lin 006; Pujin Cheng; Junyan Lyu; Xiaoying Tang 001 (BIBM, 2024)

Fusion Side Tuning: A Parameter and Memory Efficient Fine-tuning Method for High-resolution Medical Image Classification. - Zhangchi Wang; Yijin Huang; Yidu Wu; Pujin Cheng; Li Lin 006; Qinghai Guo; Xiaoying Tang 001 (BIBM, 2024)

ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. - Shiyun Chen; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization. - Huaqing He; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. - Sirui Li; Li Lin 006; Yijin Huang; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2024)

Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification. - Tianyunxi Wei; Yijin Huang; Li Lin 006; Pujin Cheng; Sirui Li; Xiaoying Tang 001 (ISBI, 2024)

BPaCo: Balanced Parametric Contrastive Learning for Long-Tailed Medical Image Classification. - Zhiyuan Cai; Tianyunxi Wei; Li Lin 006; Hao Chen; Xiaoying Tang 001 (MICCAI (1), 2024)

Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (MICCAI (12), 2024)

CSSD: Cross-Supervision and Self-denoising for Hybrid-Supervised Hepatic Vessel Segmentation. - Qiuting Hu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (MLMI@MICCAI (1), 2024)

SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model. - Nanxi Yu; Zhiyuan Cai; Yijin Huang; Xiaoying Tang 001 (TAI4H, 2024)

AugPaste: A one-shot approach for diabetic retinopathy detection. - Jiaming Qiu; Weikai Huang; Yijin Huang; Nanxi Yu; Xiaoying Tang 001 (Biomed. Signal Process. Control., 2024)

JOINEDTrans: Prior guided multi-task transformer for joint optic disc/cup segmentation and fovea detection. - Huaqing He; Jiaming Qiu; Li Lin 006; Zhiyuan Cai; Pujin Cheng; Xiaoying Tang 001 (Comput. Biol. Medicine, 2024)

FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification. - Yijin Huang; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (CoRR, 2024)

Diff4MMLiTS: Advanced Multimodal Liver Tumor Segmentation via Diffusion-Based Image Synthesis and Alignment. - Shiyun Chen; Li Lin 006; Pujin Cheng; ZhiCheng Jin; JianJian Chen; HaiDong Zhu; Kenneth K. Y. Wong; Xiaoying Tang 001 (CoRR, 2024)

LDDMM-Face: Large deformation diffeomorphic metric learning for cross-annotation face alignment. - Huilin Yang; Junyan Lyu; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (Pattern Recognit., 2024)

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. - Hong Liu; Dong Wei 004; Donghuan Lu; Xiaoying Tang 001; Liansheng Wang; Yefeng Zheng 001 (Medical Image Anal., 2024)

SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. - Yijin Huang; Junyan Lyu; Pujin Cheng; Roger C. Tam; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2024)

Dual Teacher Knowledge Distillation With Domain Alignment for Face Anti-Spoofing. - Zhe Kong; Wentian Zhang; Tao Wang 052; Kaihao Zhang; Yuexiang Li; Xiaoying Tang 001; Wenhan Luo (IEEE Trans. Circuits Syst. Video Technol., 2024)

Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation. - Zhiyuan Cai; Li Lin 006; Huaqing He; Pujin Cheng; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2024)

AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer. - Jin Lyu; Tianyi Zhu; Yi Gu; Li Lin 006; Pujin Cheng; Yebin Liu; Xiaoying Tang 001; Liang An 001 (CVPR, 2025)

Test-Time Fluorescein Angiography-Free Non-Perfusion Area Segmentation from Fundus Image. - Juntao Chen; Li Lin 006; Jiaming Qiu; Huiyu Liang; Terry Tao Ye; Haoyu Chen; Xiaoying Tang 001 (ISBI, 2025)

UniCurvSeg: Learning Contextual Prompt for Universal Vessel-Like Curvilinear Structure Segmentation. - Qiuting Hu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (ISBI, 2025)

Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing. - Jialin Li; Dong Wei 004; Jiaming Qiu; Yiwei Ren; Pujin Cheng; Junyan Lyu; Terry Tao Ye; Yefeng Zheng 001; Xiaoying Tang 001 (ISBI, 2025)

SET: Superpixel Embedded Transformer for skin lesion segmentation. - Zhonghua Wang; Junyan Lyu; Xiaoying Tang 001 (Medical Image Anal., 2025)

Advanced and interpretable corneal staining assessment through fine grained knowledge distillation. - Yuqing Deng; Pujin Cheng; Ruiwen Xu; Lirong Ling; Hongliang Xue; Shiyou Zhou; Yansong Huang; Junyan Lyu; Zhonghua Wang; Kenneth K. Y. Wong; Yimin Zhang; Kang Yu; et al. (npj Digit. Medicine, 2025)

LF-SynthSeg: Label-Free Brain Tissue-Assisted Tumor Synthesis and Segmentation. - Pengxiao Xu; Junyan Lyu; Li Lin 006; Pujin Cheng; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2025)

Accurate and Anti-Interference Control of Computer Vision-Assisted Light-Driven Liquid Crystal Elastomer Actuator. - Wei Zhang; Zongxuan Wu; Li Lin 006; Yanjun Liu; Xiaoying Tang 001; Yajing Shen; Dan Luo (Adv. Intell. Syst., 2025)

FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-Supervised Medical Image Segmentation. - Li Lin 006; Yixiang Liu; Jiewei Wu; Pujin Cheng; Zhiyuan Cai; Kenneth K. Y. Wong; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2025)

Masked Deformation Modeling for Volumetric Brain MRI Self-Supervised Pre-Training. - Junyan Lyu; Perry F. Bartlett; Fatima A. Nasrallah; Xiaoying Tang 001 (IEEE Trans. Medical Imaging, 2025)

ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image Segmentation. - Yixiang Liu; Li Lin 006; Kenneth K. Y. Wong; Xiaoying Tang 001 (IEEE J. Biomed. Health Informatics, 2025)

AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer. - Jin Lyu; Liang An 001; Li Lin 006; Pujin Cheng; Yebin Liu; Xiaoying Tang 001 (CoRR, 2025)