Yao Lu

Orcid: 0000-0001-9004-9569

Affiliations:
  • Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
  • University of Michigan, Ann Arbor, USA (former)


According to our database1, Yao Lu authored at least 47 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
CT synthesis from multi-sequence MRI using adaptive fusion network.
Comput. Biol. Medicine, May, 2023

Tensor based multi-modality fusion for prediction of postoperative early recurrence of single hepatocellular carcinoma.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Multiple Instance Learning with Critical Instance for Whole Slide Image Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
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., 2022

Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Deep Hierarchical Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

An Integral-equation-oriented Vectorized SpMV Algorithm and its Application on CT Imaging Reconstruction.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Multiple Instance Learning with Task-Specific Multi-Level Features for Weakly Annotated Histopathological Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs.
IEEE Trans. Medical Imaging, 2021

Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Multi-task learning of perceptive feature for thyroid malignant probability prediction.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
MedSRGAN: medical images super-resolution using generative adversarial networks.
Multim. Tools Appl., 2020

Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting.
Multim. Tools Appl., 2020

Robust sequential subspace clustering via ℓ<sub>1</sub>-norm temporal graph.
Neurocomputing, 2020

Prior Attention Enhanced Convolutional Neural Network Based Automatic Segmentation of Organs at Risk for Head and Neck Cancer Radiotherapy.
IEEE Access, 2020

Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Generating high resolution digital mammogram from digitized film mammogram with conditional generative adversarial network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Synthesize CT from paired MRI of the same patient with patch-based generative adversarial network.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
A Dynamic-Shape-Prior Guided Snake Model With Application in Visually Tracking Dense Cell Populations.
IEEE Trans. Image Process., 2019

RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images.
IEEE Access, 2019

An Adaptive Region Growing Based on Neutrosophic Set in Ultrasound Domain for Image Segmentation.
IEEE Access, 2019

Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2D and 3D bladder segmentation using U-Net-based deep-learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Multi-path deep learning model for automated mammographic density categorization.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Multi-Scale Prediction Network for Lung Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Data Exchange Engine for Parallel Computing and Its Application to 3D Chromosome Modelling.
Proceedings of the Data Science - 6th International Conference, 2019

Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
LDA Meets Word2Vec: A Novel Model for Academic Abstract Clustering.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep convolutional neural network for mammographic density segmentation.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

A fully automatic microcalcification detection approach based on deep convolution neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Cross-language Citation Recommendation via Publication Content and Citation Representation Fusion.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Model&Motion based Shape Tracking in Large-Scale Cellular Datasets.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

2017
An automatic visible watermark removal technique using image inpainting algorithms.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2015
Digital breast tomosynthesis: application of 2D digital mammography CAD to detection of microcalcification clusters on planar projection image.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Comparison of computer-aided detection of clustered microcalcifications in digital mammography and digital breast tomosynthesis.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014
Digital breast tomosynthesis: effects of projection-view distribution on computer-aided detection of microcalcification clusters.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Detection of microcalcifications in breast tomosynthesis reconstructed with multiscale bilateral filtering regularization.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

2012
Computer-aided detection of microcalcifications in digital breast tomosynthesis (DBT): a multichannel signal detection approach on projection views.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Breast Parenchymal Pattern (BPP) Analysis: Comparison of Digital Mammograms and Breast Tomosynthesis.
Proceedings of the Breast Imaging, 2012

Improving Image Quality of Digital Breast Tomosynthesis by Artifact Reduction.
Proceedings of the Breast Imaging, 2012

2011
Computer-aided detection of breast masses in digital breast tomosynthesis (DBT): improvement of false positive reduction by optimization of object segmentation.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011


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