Le Lu

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National Institutes of Health

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Georgia Institute of Technology

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Johns Hopkins University

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Nvidia

Staff Scientist at National Institutes of Health Clinical Center, Adjunct Research Faculty at The Johns Hopkins University, Senior Research Manager at NVIDIA

Featured Co-authors

Jiebo Luo
168 publications
Peng Wang
156 publications
Alan Yuille
154 publications
Jing Xiao
131 publications
Junzhou Huang
99 publications
Yao Xie
78 publications
Ya Zhang
77 publications
Lin Yang
70 publications
Yuankai Huo
67 publications
Ronald M. Summers
62 publications
Ying Chen
61 publications

research

∙ 05/09/2022

Localized Adversarial Domain Generalization

Deep learning methods can struggle to handle domain shifts not seen in t...

Wei Zhu, et al. ∙

research

∙ 01/05/2022

Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling

Osteoporosis is a common chronic metabolic bone disease that is often un...

Fakai Wang, et al. ∙

research

∙ 12/16/2021

Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis

Knee osteoarthritis (OA) is a common degenerate joint disorder that affe...

Kang Zheng, et al. ∙

research

∙ 10/22/2021

Circle Representation for Medical Object Detection

Box representation has been extensively used for object detection in com...

Ethan H. Nguyen, et al. ∙

research

∙ 10/17/2021

A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI

Objectives: to propose a fully-automatic computer-aided diagnosis (CAD) ...

Peng Wang, et al. ∙

research

∙ 10/12/2021

Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning

Background Aims: Hepatic steatosis is a major cause of chronic liver...

Bowen Li, et al. ∙

research

∙ 10/11/2021

Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT

Background: The current clinical workflow for esophageal gross tumor vol...

Xianghua Ye, et al. ∙

research

∙ 09/23/2021

SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

In this work, we introduce a fast and accurate method for unsupervised 3...

Fengze Liu, et al. ∙

research

∙ 09/20/2021

DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Lymph node station (LNS) delineation from computed tomography (CT) scans...

Dazhou Guo, et al. ∙

research

∙ 08/17/2021

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening

Hepatocellular carcinoma (HCC) can be potentially discovered from abdomi...

Chi-Tung Cheng, et al. ∙

research

∙ 05/05/2021

Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Measuring lesion size is an important step to assess tumor growth and mo...

Youbao Tang, et al. ∙

research

∙ 05/03/2021

Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss

Accurately segmenting a variety of clinically significant lesions from w...

Youbao Tang, et al. ∙

research

∙ 04/29/2021

Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Landmark localization plays an important role in medical image analysis....

Xiao-Yun Zhou, et al. ∙

research

∙ 04/12/2021

Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Depending on the application, radiological diagnoses can be associated w...

Bowen Li, et al. ∙

research

∙ 04/07/2021

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

3D delineation of anatomical structures is a cardinal goal in medical im...

Ashwin Raju, et al. ∙

research

∙ 04/05/2021

Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray

Osteoporosis is a common chronic metabolic bone disease that is often un...

Fakai Wang, et al. ∙

research

∙ 03/24/2021

Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Bone mineral density (BMD) is a clinically critical indicator of osteopo...

Kang Zheng, et al. ∙

research

∙ 03/24/2021

Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

Lesion detection serves a critical role in early diagnosis and has been ...

Bolin Lai, et al. ∙

research

∙ 03/09/2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...

Jieneng Chen, et al. ∙

research

∙ 12/30/2020

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays

Exploiting available medical records to train high performance computer-...

Yirui Wang, et al. ∙

research

∙ 12/14/2020

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization

Accurate vertebra localization and identification are required in many c...

Fakai Wang, et al. ∙

research

∙ 12/13/2020

Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach

Using radiological scans to identify liver tumors is crucial for proper ...

Bolin Lai, et al. ∙

research

∙ 12/12/2020

Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation

Gross tumor volume (GTV) delineation on tomography medical imaging is cr...

Chun-Hung Chao, et al. ∙

research

∙ 12/09/2020

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Monitoring treatment response in longitudinal studies plays an important...

Jinzheng Cai, et al. ∙

research

∙ 12/08/2020

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

The pancreatic disease taxonomy includes ten types of masses (tumors or ...

Tianyi Zhao, et al. ∙

research

∙ 12/07/2020

A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation

Object detection methods are widely adopted for computer-aided diagnosis...

Xinyu Zhang, et al. ∙

research

∙ 12/04/2020

Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images

Radiological images such as computed tomography (CT) and X-rays render a...

Ke Yan, et al. ∙

research

∙ 12/02/2020

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Accurate segmentation of anatomical structures is vital for medical imag...

Yuhang Lu, et al. ∙

research

∙ 09/05/2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Large-scale datasets with high-quality labels are desired for training a...

Ke Yan, et al. ∙

research

∙ 09/05/2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Mask-based annotation of medical images, especially for 3D data, is a bo...

Ashwin Raju, et al. ∙

research

∙ 08/30/2020

Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Identifying, measuring and reporting lesions accurately and comprehensiv...

Jinzheng Cai, et al. ∙

research

∙ 08/29/2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...

Chun-Hung Chao, et al. ∙

research

∙ 08/27/2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...

Zhuotun Zhu, et al. ∙

research

∙ 08/26/2020

DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...

Jiawen Yao, et al. ∙

research

∙ 08/24/2020

Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...

Ling Zhang, et al. ∙

research

∙ 08/07/2020

Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...

Bowen Li, et al. ∙

research

∙ 07/28/2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

Recently, single-stage embedding based deep learning algorithms gain inc...

Mengyang Zhao, et al. ∙

research

∙ 07/06/2020

Learning to Segment Anatomical Structures Accurately from One Exemplar

Accurate segmentation of critical anatomical structures is at the core o...

Yuhang Lu, et al. ∙

research

∙ 07/03/2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images

Visual cues of enforcing bilaterally symmetric anatomies as normal findi...

Haomin Chen, et al. ∙

research

∙ 06/28/2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...

Yuankai Huo, et al. ∙

research

∙ 06/03/2020

CircleNet: Anchor-free Detection with Circle Representation

Object detection networks are powerful in computer vision, but not neces...

Haichun Yang, et al. ∙

research

∙ 05/28/2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...

Ke Yan, et al. ∙

research

∙ 05/27/2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...

Zhuotun Zhu, et al. ∙

research

∙ 05/27/2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

In medical imaging, organ/pathology segmentation models trained on curre...

Ashwin Raju, et al. ∙

research

∙ 05/25/2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans

Multi-modal image registration is a challenging problem yet important cl...

Fengze Liu, et al. ∙

research

∙ 04/20/2020

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

We redesign the police patrol beat in South Fulton, Georgia, in collabor...

Shixiang Zhu, et al. ∙

research

∙ 04/17/2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

OAR segmentation is a critical step in radiotherapy of head and neck (H ...

Dazhou Guo, et al. ∙

research

∙ 04/17/2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning

Image landmark detection aims to automatically identify the locations of...

Weijian Li, et al. ∙

research

∙ 04/16/2020

Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies

We present a novel unsupervised learning approach to image landmark disc...

Weijian Li, et al. ∙

research

∙ 01/21/2020

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

Acquiring large-scale medical image data, necessary for training machine...

Jinzheng Cai, et al. ∙