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ORCIDYao Lu 0007
Person information
- affiliation: Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
- affiliation (former): University of Michigan, Ann Arbor, USA
Other persons with the same name
- Yao Lu — disambiguation page
- Yao Lu 0001
![[0000-0003-3760-1638]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3760-1638")
— Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China (and 1 more) - Yao Lu 0002 — University of Tokyo, Department of Complexity Science and Engineering, Japan (and 1 more)
- Yao Lu 0003 — National University of Defense Technology, College of Computer, Changsha, China
- Yao Lu 0004 — Guizhou Normal University, Technology Engineering Centre of Manufacturing Service and Knowledge Engineering, Guiyang, China (and 1 more)
- Yao Lu 0005 — Tianjin University, School of Electrical and Information Engineering, China
- Yao Lu 0006 — Google (and 1 more)
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2020 – today
- 2023
[j10]Yan Li, Sisi Xu, Haibin Chen, Ying Sun, Jing Bian, Shuanshuan Guo, Yao Lu, Zhenyu Qi:
CT synthesis from multi-sequence MRI using adaptive fusion network. Comput. Biol. Medicine 157: 106738 (2023)- [c37]Yuanpin Zhou, Yao Lu:
Multiple Instance Learning with Critical Instance for Whole Slide Image Classification. ISBI 2023: 1-5 - [c36]Xiangyuan Ma, Zilong He, Yue Li, Weixiong Zeng, Jiawei Pan, Jialing Liu, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefeng Wu, Zhaodong Zeng, Weiguo Chen, Yao Lu:
Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2023 - [c35]Tianyi Wang, Mingkai Li, Zebin Chen, Xi Chen, Haimei Chen, Bin Wu, Xiaoying Wu, Yue Li, Yao Lu:
Tensor based multi-modality fusion for prediction of postoperative early recurrence of single hepatocellular carcinoma. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j9]Wenyu Hu, Yao Lu, Jin Ren:
A fixed-point proximity algorithm for recovering low-rank components from incomplete observation data with application to motion capture data refinement. J. Comput. Appl. Math. 410: 114224 (2022) - [c34]Yuanpin Zhou, Yao Lu:
Multiple Instance Learning with Task-Specific Multi-Level Features for Weakly Annotated Histopathological Image Classification. ICASSP 2022: 1366-1370 - [c33]Weicai Ye, Chenghuan Huang, Jiasheng Huang, Jiajun Li, Yao Lu, Ying Jiang:
An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstruction. IPDPS 2022: 773-783 - [c32]Yuanpin Zhou, Yao Lu:
Deep Hierarchical Multiple Instance Learning for Whole Slide Image Classification. ISBI 2022: 1-4 - [c31]Yue Li, Zilong He, Xiangyuan Ma, Weixiong Zeng, Jialing Liu, Weimin Xu, Zeyuan Xu, Sina Wang, Chanjuan Wen, Hui Zeng, Jiefang Wu, Weiguo Chen, Yao Lu:
Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [j8]Gongfa Jiang, Jun Wei, Yuesheng Xu, Zilong He, Hui Zeng, Jiefang Wu, Genggeng Qin, Weiguo Chen, Yao Lu:
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs. IEEE Trans. Medical Imaging 40(8): 2080-2091 (2021) - [c30]Zixiong Gao, Yufan Chen, Wuping Mai, Yao Lu, Shuyu Wu, Hongmei Liu:
Multi-task learning of perceptive feature for thyroid malignant probability prediction. Medical Imaging: Computer-Aided Diagnosis 2021 - [c29]Yue Li, Zilong He, Xiangyuan Ma, Weimin Xu, Chanjuan Wen, Hui Zeng, Weixiong Zeng, Zeqi Wu, Genggeng Qin, Weiguo Chen, Yao Lu:
Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [j7]Haibin Chen, Dongyun Huang, Li Lin, Zhenyu Qi, Peiliang Xie, Jun Wei, Lin Chang, Ying Sun, Dongmei Wu, Yao Lu:
Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy. IEEE Access 8: 179018-179027 (2020) - [j6]Wenyu Hu, Shenghao Li, Weidong Zheng, Yao Lu, Gaohang Yu:
Robust sequential subspace clustering via ℓ1-norm temporal graph. Neurocomputing 383: 380-395 (2020) - [j5]Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu:
Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting. Multim. Tools Appl. 79(23-24): 17147-17167 (2020) - [j4]Yuchong Gu, Zitao Zeng, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu:
MedSRGAN: medical images super-resolution using generative adversarial networks. Multim. Tools Appl. 79(29-30): 21815-21840 (2020) - [c28]Yan Li, Jun Wei, Zhenyu Qi, Ying Sun, Yao Lu:
Synthesize CT from paired MRI of the same patient with patch-based generative adversarial network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c27]Yue Li, Zheng Xie, Zilong He, Xiangyuan Ma, Yanhui Guo, Weiguo Chen, Yao Lu:
Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2020 - [c26]Yuanpin Zhou, Jun Wei, Mark A. Helvie, Heang-Ping Chan, Chuan Zhou, Lubomir M. Hadjiiski, Yao Lu:
Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network. Medical Imaging: Computer-Aided Diagnosis 2020 - [c25]Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu:
Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. WWW 2020: 1581-1591
2010 – 2019
- 2019
- [j3]Zitao Zeng, Weihao Xie, Yunzhe Zhang, Yao Lu:
RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images. IEEE Access 7: 21420-21428 (2019) - [j2]Xue Jiang, Yanhui Guo, Haibin Chen, Yaqin Zhang, Yao Lu:
An Adaptive Region Growing Based on Neutrosophic Set in Ultrasound Domain for Image Segmentation. IEEE Access 7: 60584-60593 (2019) - [j1]Sha Yu, Yao Lu, Derek Molloy:
A Dynamic-Shape-Prior Guided Snake Model With Application in Visually Tracking Dense Cell Populations. IEEE Trans. Image Process. 28(3): 1513-1527 (2019) - [c24]Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu:
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. CIKM 2019: 289-298 - [c23]Xiaoling Zhang, Yao Lu, Junfeng Wu, Yongrui Zhang:
Data Exchange Engine for Parallel Computing and Its Application to 3D Chromosome Modelling. ICDS 2019: 429-449 - [c22]Yuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei, Yao Lu:
Multi-Scale Prediction Network for Lung Segmentation. ISBI 2019: 438-442 - [c21]Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang-Ping Chan, Kenny H. Cha, Richard H. Cohan, Elaine M. Caoili, Ravi Samala, Chuan Zhou, Yao Lu:
2D and 3D bladder segmentation using U-Net-based deep-learning. Medical Imaging: Computer-Aided Diagnosis 2019: 109500Y - [c20]Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu:
Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network. Medical Imaging: Computer-Aided Diagnosis 2019: 109502J - [c19]Xiangyuan Ma, Caleb Fisher, Jun Wei, Mark A. Helvie, Heang-Ping Chan, Chuan Zhou, Lubomir M. Hadjiiski, Yao Lu:
Multi-path deep learning model for automated mammographic density categorization. Medical Imaging: Computer-Aided Diagnosis 2019: 109502E - [c18]Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu:
Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs. MICCAI (6) 2019: 801-809 - [i2]Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu:
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. CoRR abs/1908.11610 (2019) - 2018
- [c17]Sha Yu, Yao Lu, Derek Molloy:
Model&Motion based Shape Tracking in Large-Scale Cellular Datasets. ICMLC 2018: 102-106 - [c16]Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen:
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT. IWBI 2018: 1071815 - [c15]Xiangyuan Ma, Jun Wei, Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Yao Lu:
Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network. IWBI 2018: 1071818 - [c14]Zhuoren Jiang, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Publication Content and Citation Representation Fusion. JCDL 2018: 347-348 - [c13]Guanxiong Cai, Yanhui Guo, Yaqin Zhang, Genggeng Qin, Yuanpin Zhou, Yao Lu:
A fully automatic microcalcification detection approach based on deep convolution neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 105752Q - [c12]Jun Wei, Songfeng Li, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Yao Lu, Chuan Zhou, Lubomir M. Hadjiiski, Ravi K. Samala:
Deep convolutional neural network for mammographic density segmentation. Medical Imaging: Computer-Aided Diagnosis 2018: 105753I - [c11]Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. SIGIR 2018: 635-644 - [c10]Changzhou Li, Yao Lu, Junfeng Wu, Yongrui Zhang, Zhongzhou Xia, Tianchen Wang, Dantian Yu, Xurui Chen, Peidong Liu, Junyu Guo:
LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering. WWW (Companion Volume) 2018: 1699-1706 - [i1]Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu:
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. CoRR abs/1812.11709 (2018) - 2017
- [c9]Chaoran Xu, Yao Lu, Yuanpin Zhou:
An automatic visible watermark removal technique using image inpainting algorithms. ICSAI 2017: 1152-1157 - 2015
- [c8]Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie:
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis 2015: 94140K - [c7]Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie:
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image. Medical Imaging: Computer-Aided Diagnosis 2015: 941418 - 2014
- [c6]Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie:
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters. Medical Imaging: Computer-Aided Diagnosis 2014: 90350Y - 2013
- [c5]Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie:
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization. Medical Imaging: Computer-Aided Diagnosis 2013: 86701L - 2012
- [c4]Jun Wei, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Chuan Zhou, Mark A. Helvie:
Breast Parenchymal Pattern (BPP) Analysis: Comparison of Digital Mammograms and Breast Tomosynthesis. Digital Mammography / IWDM 2012: 514-520 - [c3]Yao Lu, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou:
Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction. Digital Mammography / IWDM 2012: 745-752 - [c2]Jun Wei, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu:
Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views. Medical Imaging: Computer-Aided Diagnosis 2012: 83152D - 2011
- [c1]Jun Wei, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu:
Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation. Medical Imaging: Computer-Aided Diagnosis 2011: 796311
Coauthor Index
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