Xiaoming Liu 0004 - researchr alias

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Viewing Publication 1 - 52 from 52

2024

Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical ImagesXiaoming Liu 0004, Jingling Pan, Xiao Li, Xiangkai Wei, ZhiPeng Liu, Zhifang Pan, Jinshan Tang. tetci, 8(1):917-929, February 2024. [doi]

2023

Joint Boundary-Enhanced and Topology-Preserving Dual-Path Network for Retinal Layer Segmentation in OCT Images with Pigment Epithelial DetachmentXiaoming Liu 0004, Xiao Li. prcv 2024: 395-406 [doi]

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT imagesXiaoming Liu 0004, Qi Liu, Ying Zhang 0056, Man Wang, Jinshan Tang. cbm, 153:106467, February 2023. [doi]

Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA imagesXiaoming Liu 0004, Di Zhang, Junping Yao, Jinshan Tang. bspc, 83:104604, May 2023. [doi]

Weakly-supervised localization and classification of biomarkers in OCT images with integrated reconstruction and attentionXiaoming Liu 0004, ZhiPeng Liu, Ying Zhang, Man Wang, Jinshan Tang. bspc, 79(Part):104213, 2023. [doi]

Attention guided neural ODE network for breast tumor segmentation in medical imagesJintao Ru, Beichen Lu, Buran Chen, Jialin Shi, Gaoxiang Chen, Meihao Wang, Zhifang Pan, Yezhi Lin, Zhihong Gao, Jiejie Zhou, Xiaoming Liu 0004, Chen Zhang. cbm, 159:106884, June 2023. [doi]

2022

Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography imagesXiaoming Liu 0004, Shaocheng Wang, Jun Cao, Ying Zhang 0056, Man Wang. imst, 32(1):369-386, 2022. [doi]

Joint disease classification and lesion segmentation via one-stage attention-based convolutional neural network in OCT imagesXiaoming Liu 0004, Yingjie Bai, Jun Cao, Junping Yao, Ying Zhang 0056, Man Wang. bspc, 71(Part):103087, 2022. [doi]

Cultural transmission based multi-objective evolution strategy for evolutionary multitaskingZhiwei Xu 0004, Xiaoming Liu 0004, Kai Zhang 0002, Juanjuan He. isci, 582:215-242, 2022. [doi]

A novel membrane-inspired evolutionary framework for multi-objective multi-task optimization problemsZhiwei Xu 0004, Kai Zhang 0002, Juanjuan He, Xiaoming Liu 0004. isci, 596:236-263, 2022. [doi]

Weakly Supervised Anomaly Localization and Segmentation of Biomarkers in OCT ImagesXiaoming Liu 0004, Qi Liu. ictai 2022: 1042-1046 [doi]

Improved Faster-RCNN Based Biomarkers Detection in Retinal Optical Coherence Tomography ImagesXiaoming Liu 0004, Kejie Zhou, Man Wang, Ying Zhang. ictai 2022: 1088-1092 [doi]

2021

Uncertainty-Aware Semi-Supervised Framework for Automatic Segmentation of Macular Edema in Oct ImagesXiaoming Liu 0004, Shaocheng Wang. isbi 2021: 1453-1456 [doi]

MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour informationXiaoming Liu 0004, Zhengsheng Guo, Jun Cao, Jinshan Tang. cbm, 135:104543, 2021. [doi]

Confidence-Guided Topology-Preserving Layer Segmentation for Optical Coherence Tomography Images With Focus-Column ModuleXiaoming Liu 0004, Jun Cao, Shaocheng Wang, Ying Zhang, Man Wang. tim, 70:1-12, 2021. [doi]

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion SegmentationGaoxiang Chen, Jintao Ru, Yilin Zhou, Islem Rekik, Zhifang Pan, Xiaoming Liu 0004, Yezhi Lin, Beichen Lu, Jialin Shi. neuroimage, 244:118568, 2021. [doi]

2020

2019

Shortest path with backtracking based automatic layer segmentation in pathological retinal optical coherence tomography imagesXiaoming Liu 0004, Dong Liu, Tianyu Fu, Zhifang Pan, Wei Hu 0001, Kai Zhang 0002. mta, 78(12):15817-15838, 2019. [doi]

Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests ClassifierXiaoming Liu 0004, Tianyu Fu, Zhifang Pan, Dong Liu, Wei Hu 0001, Jun Liu 0011, Kai Zhang 0002. titb, 23(4):1404-1416, 2019. [doi]

Deep Learning Based Fluid Segmentation in Retinal Optical Coherence Tomography ImagesXiaoming Liu 0004, Dong Liu, Bo Li 0035, Shaocheng Wang. icic 2019: 337-345 [doi]

Semi-Supervised Automatic Segmentation of Layer and Fluid Region in Retinal Optical Coherence Tomography Images Using Adversarial LearningXiaoming Liu 0004, Jun Cao, Tianyu Fu, Zhifang Pan, Wei Hu, Kai Zhang 0002, Jun Liu 0011. access, 7:3046-3061, 2019. [doi]

Nuclei segmentation by using convolutional network with distance map and contour informationXiaoming Liu 0004, Zhengsheng Guo, Bo Li, Jun Cao. acml 2019: 972-986 [doi]

Dense-Residual Network With Adversarial Learning for Skin Lesion SegmentationWenli Tu, Xiaoming Liu 0004, Wei Hu, Zhifang Pan. access, 7:77037-77051, 2019. [doi]

Mechanical Properties Prediction for Hot Rolled Alloy Steel Using Convolutional Neural NetworkZhi-Wei Xu, Xiaoming Liu 0004, Kai Zhang 0002. access, 7:47068-47078, 2019. [doi]

2014

A signal-to-noise ratio based multiple thresholds cooperative spectrum sensing schemeXiaoming Liu 0004, Gang Wang, Hailong Wang, Bo Li, Gongliang Liu. bmei 2014: 908-912 [doi]

2013

A Physical-network-coding-based amplify and forward cooperation schemeXiaoming Liu 0004, Gang Wang, Bo Li. IEEEicics 2013: 1-5 [doi]

Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and EvaluationXin Xu, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu 0004, Hong Zhang, Yimin Qiu. sensors, 13(2):1635-1650, 2013. [doi]

2012

2011

Mass Classification with Level Set Segmentation and Shape Analysis for Breast Cancer Diagnosis Using MammographyXiaoming Liu 0004, Xin Xu, Jun Liu, Jinshan Tang. icic 2012: 630-637 [doi]

A new automatic method for mass detection in mammography with false positives reduction by supported vector machineXiaoming Liu 0004, Xin Xu, Jun Liu, Zhilin Feng. bmei 2011: 33-37 [doi]

Topological vascular tree segmentation for retinal images using shortest path connectionLi Chen, YaoYong Ju, Sheng Ding, Xiaoming Liu 0004. icip 2011: 2137-2140 [doi]

Improved local binary patterns for classification of masses using mammographyJun Liu, Xiaoming Liu 0004, Jianxun Chen, Jinshan Tang. SMC 2011: 2692-2695 [doi]

Design and implementation of content-based medical image retrieval system on mammogramsJun Liu, Jianxun Chen, Zhe Huang, Xiaoming Liu 0004. bmei 2011: 237-240 [doi]

Mass Segmentation in Mammograms Based on Improved Level Set and Watershed AlgorithmJun Liu, Xiaoming Liu 0004, Jianxun Chen, Jinshan Tang. icic 2012: 502-508 [doi]

Mass segmentation using a combined method for cancer detectionJun Liu, Jianxun Chen, Xiaoming Liu 0004, Lei Chun, Jinshan Tang, Youping Deng. bmcsb, 5(S-3), 2011. [doi]

Gender Recognition Using 3-D Human Body ShapesJinshan Tang, Xiaoming Liu 0004, Huaining Cheng, Kathleen M. Robinette. tsmc, 41(6):898-908, 2011. [doi]

Adaptive Variance Based Sharpness Computation for Low Contrast ImagesXin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu 0004. icic 2012: 335-341 [doi]

Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast MeasureXin Xu, Yinglin Wang, Jinshan Tang, Xiaolong Zhang, Xiaoming Liu 0004. sensors, 11(9):8281-8294, 2011. [doi]

2010

Dimension Reduction with Semi-supervised Pairwise Covariance-Preserving ProjectionXiaoming Liu 0004, Zhaohui Wang, Jun Liu, Zhilin Feng. icic 2010: 559-565 [doi]

Human behavior understanding for video surveillance: Recent advanceXin Xu, Jinshan Tang, Xiaoming Liu 0004, Xiaolong Zhang. SMC 2010: 3867-3873 [doi]

2009

2008

An improved WSQ fingerprint image compression algorithmJinshan Tang, Xiaoming Liu 0004. acssc 2008: 1267-1271 [doi]

2005

Adaptive-weighted hidden Markov models based 3D model classificationXiaoming Liu 0004, Jianwei Yin, Zhilin Feng, Jinxiang Dong. cscwd 2005: 576-581 [doi]

A novel approach for interorganizational workflow system designJianwei Yin, Zhilin Feng, Xiaoming Liu 0004, Jinxiang Dong. cscwd 2005: 520-523 [doi]

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