Le Lu

Deep convolutional networks for automated detection of posterior-element fractures on spine CT

Holger R. Roth, Yinong Wang, Jianhua Yao +3

A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling

Amal Farag, Le Lu, Holger R. Roth +3

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs

Yuxing Tang, Xiaosong Wang, Adam P. Harrison +3

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

Jinzheng Cai, Le Lu, Fuyong Xing +1

cs.CL2017

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Yifan Peng, Xiaosong Wang, Le Lu +3

Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation

Holger R. Roth, Le Lu, Nathan Lay +4

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

Holger R. Roth, Le Lu, Amal Farag +4

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers

Ari Seff, Le Lu, Kevin M. Cherry +6

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Jinzheng Cai, Le Lu, Yuanpu Xie +2

Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications

Holger R. Roth, Jianhua Yao, Le Lu +3

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database

Xiaosong Wang, Le Lu, Hoo-chang Shin +4

Unsupervised Body Part Regression via Spatially Self-ordering Convolutional Neural Networks

Ke Yan, Le Lu, Ronald M. Summers

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations

Ke Yan, Xiaosong Wang, Le Lu +1

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation

Holger R. Roth, Le Lu, Amal Farag +2

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

Jinzheng Cai, Le Lu, Adam P. Harrison +3

Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images

Adam P. Harrison, Ziyue Xu, Kevin George +3

cs.CV2019

Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network

Chun-Hung Chao, Yen-Chi Cheng, Hsien-Tzu Cheng +5

Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation

Holger R. Roth, Le Lu, Jiamin Liu +5

Anatomy-specific classification of medical images using deep convolutional nets

Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin +5

Deep convolutional networks for pancreas segmentation in CT imaging

Holger R. Roth, Amal Farag, Le Lu +2

Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition

Xiaosong Wang, Le Lu, Hoo-chang Shin +5

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

Ke Yan, Xiaosong Wang, Le Lu +4

Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images

Quan Wang, Dijia Wu, Le Lu +3

Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Jinzheng Cai, Youbao Tang, Le Lu +5

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Zhihui Guo, Ling Zhang, Le Lu +4

A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

Holger R. Roth, Le Lu, Ari Seff +6

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Xiaosong Wang, Yifan Peng, Le Lu +3

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Youbao Tang, Jinzheng Cai, Le Lu +5

Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation

Ling Zhang, Vissagan Gopalakrishnan, Le Lu +3

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

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao +6

Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis

Meizhu Liu, Le Lu, Xiaojing Ye +1

A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans

Amal Farag, Le Lu, Evrim Turkbey +2

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

Hoo-Chang Shin, Kirk Roberts, Le Lu +3

DeepPap: Deep Convolutional Networks for Cervical Cell Classification

Ling Zhang, Le Lu, Isabella Nogues +3

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction

Ling Zhang, Le Lu, Ronald M. Summers +2

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays

Xiaosong Wang, Yifan Peng, Le Lu +2

Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling

Mingchen Gao, Ziyue Xu, Le Lu +3

Personalized Pancreatic Tumor Growth Prediction via Group Learning

Ling Zhang, Le Lu, Ronald M. Summers +2

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

Jinzheng Cai, Youbao Tang, Le Lu +5