Le Lu

发表

Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement

Qian Wang, Shaohua Kevin Zhou, Dijia Wu, 2015, IEEE Transactions on Medical Imaging.

Weakly Supervised Universal Fracture Detection in Pelvic X-rays

Adam P. Harrison, Jing Xiao, Chi-Tung Cheng, 2019, MICCAI.

Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans

Milan Sonka, Mohammadhadi Bagheri, Jianhua Yao, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning

Fuyong Xing, Jinzheng Cai, Le Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Adam P. Harrison, Ke Yan, Lin Yang, 2020, IEEE Transactions on Medical Imaging.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Yefeng Zheng, Lin Yang, Gustavo Carneiro, 2017, Advances in Computer Vision and Pattern Recognition.

A dynamic Ant Colony Optimization for load balancing in MRN/MLN

Wanyi Gu, Shanguo Huang, Le Lu, 2011, 2011 Asia Communications and Photonics Conference and Exhibition (ACP).

Data-Driven Optimization for Police Beat Design in South Fulton, Georgia

Yao Xie, Le Lu, Shixiang Zhu, 2020 .

Computational Systems Biology Approaches for Deciphering Traditional Chinese Medicine

Shao Li, Le Lu, Shao Li, 2013 .

Efficient modeling of location decision for PCEs in multi-domain optical networks

Wanyi Gu, Wenjun Xie, Shanguo Huang, 2010, Asia Communications and Photonics Conference and Exhibition.

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Ronald M. Summers, Jianhua Yao, Mingchen Gao, 2016, IEEE Transactions on Medical Imaging.

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Ronald M. Summers, Adam P. Harrison, Mohammadhadi Bagheri, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

DGST: Efficient and scalable suffix tree construction on distributed data-parallel platforms

Rong Gu, Chen Guo, Chunfeng Yuan, 2019, Parallel Comput..

Finding Persistent Elements of Anomalous Flows in Distributed Monitoring Systems

Zhen Cao, An Liu, Yu-E Sun, 2020, 2020 IEEE Symposium on Computers and Communications (ISCC).

Tumor Growth Prediction Using Convolutional Networks

Ronald M. Summers, Jianhua Yao, Le Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Antonio Criminisi, Georg Langs, Albert Montillo, 2010, Lecture Notes in Computer Science.

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

Ronald M. Summers, Kirk Roberts, Jianhua Yao, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Xiaosong Wang, Gustavo Carneiro, Le Lu, 2019, Advances in Computer Vision and Pattern Recognition.

Cencentric Mosaics, Planar Motions and 1D Cameras

Long Quan, Heung-Yeung Shum, Maxime Lhuillier, 2001, ICCV 2001.

Active appearance model and deep learning for more accurate prostate segmentation on MRI

Ronald M. Summers, Peter L. Choyke, Matthew J. McAuliffe, 2016, SPIE Medical Imaging.

Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis pdf

Xiaojing Ye, Heng Huang, Shipeng Yu, 2011, CIKM '11.

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Adam P. Harrison, Jing Xiao, Bo Zhou, 2019, DART/MIL3ID@MICCAI.

Text mining and deep learning for disease classification

Xiaosong Wang, Lin Yang, Zizhao Zhang, 2020 .

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Adam P. Harrison, Jing Xiao, Dakai Jin, 2019, MICCAI.

Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging

Antonio Criminisi, Georg Langs, Albert Montillo, 2012, Lecture Notes in Computer Science.

Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk pdf

Adam P. Harrison, Jing Xiao, Dakai Jin, 2019, MICCAI.

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT

Ronald M. Summers, Jianhua Yao, Joseph E. Burns, 2014 .

2003-XX-CIRL-CS-JHU Real-time Video Mosaicing with Adaptive Parametric Warping

Le Lu, Gregory Hager, Gregory Hager, 2003 .