Yao Lu

56 papers A* 2A 2C 1Misc 2Journal 15Unranked 34
YearRankTypeTitle / Venue / Authors
2025 — conf
Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes.
ISBI
Hai Jiangs, Qiongting Liu, Yuanpin Zhou, Jiawei Pan, Ting Song, Yao Lu
2025 J jnl
Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes.
CoRR
Hai Jiangs, Qiongting Liu, Yuanpin Zhou, Jiawei Pan, Ting Song, Yao Lu
2025 J jnl
DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer.
CoRR
Hai Jiang, Chushan Zheng, Jiawei Pan, Yuanpin Zhou, Qiongting Liu, Xiang Zhang, Jun Shen, Yao Lu
2025 J jnl
Time-synchrosqueezing generalized W transform for high-resolution time-frequency representation and application in dual-domain ECG classification.
Expert Syst. Appl.
Rui Li, Hui Chen, Xuping Chen, Yunqi Liu, Jinfeng Xu, Yao Lu
2024 — conf
Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video.
MICCAI (5)
Rui Li, Jingliang Ruan, Yao Lu
2023 J jnl
CT synthesis from multi-sequence MRI using adaptive fusion network.
Comput. Biol. Medicine
Yan Li, Sisi Xu, Haibin Chen, Ying Sun, Jing Bian, Shuanshuan Guo, Yao Lu, Zhenyu Qi
2023 — conf
Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis.
Computer-Aided Diagnosis
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
2023 — conf
Multiple Instance Learning with Critical Instance for Whole Slide Image Classification.
ISBI
Yuanpin Zhou, Yao Lu
2023 — conf
Tensor based multi-modality fusion for prediction of postoperative early recurrence of single hepatocellular carcinoma.
Computer-Aided Diagnosis
Tianyi Wang, Mingkai Li, Zebin Chen, Xi Chen, Haimei Chen, Bin Wu, Xiaoying Wu, Yue Li, Yao Lu
2022 J jnl
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.
Wenyu Hu, Yao Lu, Jin Ren
2022 A conf
An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstruction.
IPDPS
Weicai Ye, Chenghuan Huang, Jiasheng Huang, Jiajun Li, Yao Lu, Ying Jiang
2022 — conf
Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography.
Computer-Aided Diagnosis
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
2022 — conf
Deep Hierarchical Multiple Instance Learning for Whole Slide Image Classification.
ISBI
Yuanpin Zhou, Yao Lu
2022 Misc conf
Multiple Instance Learning with Task-Specific Multi-Level Features for Weakly Annotated Histopathological Image Classification.
ICASSP
Yuanpin Zhou, Yao Lu
2021 — conf
Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape.
Computer-Aided Diagnosis
Yue Li, Zilong He, Xiangyuan Ma, Weimin Xu, Chanjuan Wen, Hui Zeng, Weixiong Zeng, Zeqi Wu, Genggeng Qin, Weiguo Chen, Yao Lu
2021 — conf
Multi-task learning of perceptive feature for thyroid malignant probability prediction.
Computer-Aided Diagnosis
Zixiong Gao, Yufan Chen, Wuping Mai, Yao Lu, Shuyu Wu, Hongmei Liu
2021 J jnl
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs.
IEEE Trans. Medical Imaging
Gongfa Jiang, Jun Wei, Yuesheng Xu, Zilong He, Hui Zeng, Jiefang Wu, Genggeng Qin, Weiguo Chen, Yao Lu
2020 — conf
Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis.
Computer-Aided Diagnosis
Yue Li, Zheng Xie, Zilong He, Xiangyuan Ma, Yanhui Guo, Weiguo Chen, Yao Lu
2020 J jnl
Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting.
Multim. Tools Appl.
Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu
2020 — conf
Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network.
Computer-Aided Diagnosis
Yuanpin Zhou, Jun Wei, Mark A. Helvie, Heang-Ping Chan, Chuan Zhou, Lubomir M. Hadjiiski, Yao Lu
2020 J jnl
MedSRGAN: medical images super-resolution using generative adversarial networks.
Multim. Tools Appl.
Yuchong Gu, Zitao Zeng, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu
2020 J jnl
Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy.
IEEE Access
Haibin Chen, Dongyun Huang, Li Lin, Zhenyu Qi, Peiliang Xie, Jun Wei, Lin Chang, Ying Sun, Dongmei Wu, Yao Lu
2020 J jnl
Robust sequential subspace clustering via ℓ
Neurocomputing
Wenyu Hu, Shenghao Li, Weidong Zheng, Yao Lu, Gaohang Yu
2020 — conf
Synthesize CT from paired MRI of the same patient with patch-based generative adversarial network.
Computer-Aided Diagnosis
Yan Li, Jun Wei, Zhenyu Qi, Ying Sun, Yao Lu
2020 A* conf
Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding.
WWW
Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu
2019 — conf
2D and 3D bladder segmentation using U-Net-based deep-learning.
Computer-Aided Diagnosis
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
2019 J jnl
A Dynamic-Shape-Prior Guided Snake Model With Application in Visually Tracking Dense Cell Populations.
IEEE Trans. Image Process.
Sha Yu, Yao Lu, Derek Molloy
2019 J jnl
An Adaptive Region Growing Based on Neutrosophic Set in Ultrasound Domain for Image Segmentation.
IEEE Access
Xue Jiang, Yanhui Guo, Haibin Chen, Yaqin Zhang, Yao Lu
2019 — conf
Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network.
Computer-Aided Diagnosis
Guanxiong Cai, Yanhui Guo, Weiguo Chen, Hui Zeng, Yuanpin Zhou, Yao Lu
2019 A conf
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning.
CIKM
Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu
2019 J jnl
Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning.
CoRR
Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu
2019 C conf
Data Exchange Engine for Parallel Computing and Its Application to 3D Chromosome Modelling.
ICDS
Xiaoling Zhang, Yao Lu, Junfeng Wu, Yongrui Zhang
2019 — conf
Multi-Scale Prediction Network for Lung Segmentation.
ISBI
Yuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei, Yao Lu
2019 — conf
Multi-path deep learning model for automated mammographic density categorization.
Computer-Aided Diagnosis
Xiangyuan Ma, Caleb Fisher, Jun Wei, Mark A. Helvie, Heang-Ping Chan, Chuan Zhou, Lubomir M. Hadjiiski, Yao Lu
2019 J jnl
RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images.
IEEE Access
Zitao Zeng, Weihao Xie, Yunzhe Zhang, Yao Lu
2019 — conf
Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs.
MICCAI (6)
Gongfa Jiang, Yao Lu, Jun Wei, Yuesheng Xu
2019 — conf
Three-dimensional reconstruction of internal fascicles of human peripheral nerve.
Image-Guided Procedures
Shouliang Liu, Yanhui Guo, Liwei Yan, Yao Lu
2018 — conf
A fully automatic microcalcification detection approach based on deep convolution neural network.
Computer-Aided Diagnosis
Guanxiong Cai, Yanhui Guo, Yaqin Zhang, Genggeng Qin, Yuanpin Zhou, Yao Lu
2018 — conf
A novel nipple detection algorithm on Digital Mammography (DM).
IWBI
Jiayu Jiang, Yao Lu, Yanhui Guo
2018 A* conf
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph.
SIGIR
Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu
2018 J jnl
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph.
CoRR
Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu
2018 — conf
Cross-language Citation Recommendation via Publication Content and Citation Representation Fusion.
JCDL
Zhuoren Jiang, Yao Lu, Xiaozhong Liu
2018 — conf
Deep convolutional neural network for mammographic density segmentation.
Computer-Aided Diagnosis
Jun Wei, Songfeng Li, Heang-Ping Chan, Mark A. Helvie, Marilyn A. Roubidoux, Yao Lu, Chuan Zhou, Lubomir M. Hadjiiski, Ravi K. Samala
2018 — conf
Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network.
IWBI
Xiangyuan Ma, Jun Wei, Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Yao Lu
2018 — conf
LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering.
WWW (Companion Volume)
Changzhou Li, Yao Lu, Junfeng Wu, Yongrui Zhang, Zhongzhou Xia, Tianchen Wang, Dantian Yu, Xurui Chen, Peidong Liu, Junyu Guo
2018 — conf
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT.
IWBI
Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen
2018 Misc conf
Model&Motion based Shape Tracking in Large-Scale Cellular Datasets.
ICMLC
Sha Yu, Yao Lu, Derek Molloy
2017 — conf
An automatic visible watermark removal technique using image inpainting algorithms.
ICSAI
Chaoran Xu, Yao Lu, Yuanpin Zhou
2015 — conf
Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis.
Computer-Aided Diagnosis
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2015 — conf
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image.
Computer-Aided Diagnosis
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2014 — conf
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters.
Computer-Aided Diagnosis
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Mark A. Helvie
2013 — conf
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization.
Computer-Aided Diagnosis
Ravi K. Samala, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Jun Wei, Berkman Sahiner, Mark A. Helvie
2012 — conf
Breast Parenchymal Pattern (BPP) Analysis: Comparison of Digital Mammograms and Breast Tomosynthesis.
Digital Mammography / IWDM
Jun Wei, Heang-Ping Chan, Yao Lu, Lubomir M. Hadjiiski, Chuan Zhou, Mark A. Helvie
2012 — conf
Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views.
Computer-Aided Diagnosis
Jun Wei, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu
2012 — conf
Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction.
Digital Mammography / IWDM
Yao Lu, Heang-Ping Chan, Jun Wei, Lubomir M. Hadjiiski, Chuan Zhou
2011 — conf
Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation.
Computer-Aided Diagnosis
Jun Wei, Heang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie, Chuan Zhou, Yao Lu