Le Lu

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National Institutes of Health ∙ Georgia Institute of Technology ∙ Johns Hopkins University ∙ Nvidia

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

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...
09/05/2020 ∙ by Ke Yan, et al. ∙ 9 ∙ share

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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...
09/05/2020 ∙ by Ashwin Raju, et al. ∙ 0 ∙ share

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

Identifying, measuring and reporting lesions accurately and comprehensiv...
08/30/2020 ∙ by Jinzheng Cai, et al. ∙ 2 ∙ share

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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...
08/29/2020 ∙ by Chun-Hung Chao, et al. ∙ 9 ∙ share

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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...
08/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 5 ∙ share

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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...
08/26/2020 ∙ by Jiawen Yao, et al. ∙ 12 ∙ share

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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...
08/24/2020 ∙ by Ling Zhang, et al. ∙ 19 ∙ share

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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...
08/07/2020 ∙ by Bowen Li, et al. ∙ 0 ∙ share

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

Recently, single-stage embedding based deep learning algorithms gain inc...
07/28/2020 ∙ by Mengyang Zhao, et al. ∙ 0 ∙ share

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Learning to Segment Anatomical Structures Accurately from One Exemplar

Accurate segmentation of critical anatomical structures is at the core o...
07/06/2020 ∙ by Yuhang Lu, et al. ∙ 0 ∙ share

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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...
07/03/2020 ∙ by Haomin Chen, et al. ∙ 0 ∙ share

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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...
06/28/2020 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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CircleNet: Anchor-free Detection with Circle Representation

Object detection networks are powerful in computer vision, but not neces...
06/03/2020 ∙ by Haichun Yang, et al. ∙ 0 ∙ share

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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...
05/28/2020 ∙ by Ke Yan, et al. ∙ 5 ∙ share

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

Finding and identifying scatteredly-distributed, small, and critically i...
05/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 4 ∙ share

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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...
05/27/2020 ∙ by Ashwin Raju, et al. ∙ 20 ∙ share

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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...
05/25/2020 ∙ by Fengze Liu, et al. ∙ 18 ∙ share

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

We redesign the police patrol beat in South Fulton, Georgia, in collabor...
04/20/2020 ∙ by Shixiang Zhu, et al. ∙ 0 ∙ share

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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 ...
04/17/2020 ∙ by Dazhou Guo, et al. ∙ 6 ∙ share

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Structured Landmark Detection via Topology-Adapting Deep Graph Learning

Image landmark detection aims to automatically identify the locations of...
04/17/2020 ∙ by Weijian Li, et al. ∙ 0 ∙ share

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Unsupervised Learning of Landmarks based on Inter-Intra Subject Consistencies

We present a novel unsupervised learning approach to image landmark disc...
04/16/2020 ∙ by Weijian Li, et al. ∙ 0 ∙ share

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

Acquiring large-scale medical image data, necessary for training machine...
01/21/2020 ∙ by Jinzheng Cai, et al. ∙ 3 ∙ share

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

As the demand for more descriptive machine learning models grows within ...
09/05/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Weakly Supervised Universal Fracture Detection in Pelvic X-rays

Hip and pelvic fractures are serious injuries with life-threatening comp...
09/04/2019 ∙ by Yirui Wang, et al. ∙ 0 ∙ share

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

Clinical target volume (CTV) delineation from radiotherapy computed tomo...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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

Gross tumor volume (GTV) segmentation is a critical step in esophageal c...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network

Tomography medical imaging is essential in the clinical workflow of mode...
04/05/2019 ∙ by Chun-Hung Chao, et al. ∙ 0 ∙ share

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Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data

Prognostic tumor growth modeling via medical imaging observations is a c...
02/23/2019 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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

In this work, we exploit the task of joint classification and weakly sup...
07/19/2018 ∙ by Yuxing Tang, et al. ∙ 2 ∙ share

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

Automated lesion segmentation from computed tomography (CT) is an import...
07/18/2018 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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

Given image labels as the only supervisory signal, we focus on harvestin...
07/03/2018 ∙ by Jinzheng Cai, et al. ∙ 4 ∙ share

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

Volumetric lesion segmentation from computed tomography (CT) images is a...
07/02/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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

Automatic pancreas segmentation in radiology images, eg., computed tomog...
03/30/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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DeepPap: Deep Convolutional Networks for Cervical Cell Classification

Automation-assisted cervical screening via Pap smear or liquid-based cyt...
01/25/2018 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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

Volumetric lesion segmentation via medical imaging is a powerful means t...
01/25/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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

This paper reports Deep LOGISMOS approach to 3D tumor segmentation by in...
01/25/2018 ∙ by Zhihui Guo, et al. ∙ 0 ∙ share

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

Image segmentation is a fundamental problem in medical image analysis. I...
01/25/2018 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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Convolutional Invasion and Expansion Networks for Tumor Growth Prediction

Tumor growth is associated with cell invasion and mass-effect, which are...
01/25/2018 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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

Chest X-rays are one of the most common radiological examinations in dai...
01/12/2018 ∙ by Xiaosong Wang, et al. ∙ 0 ∙ share

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

Negative and uncertain medical findings are frequent in radiology report...
12/16/2017 ∙ by Yifan Peng, et al. ∙ 0 ∙ share

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

Radiologists in their daily work routinely find and annotate significant...
11/28/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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

Extracting, harvesting and building large-scale annotated radiological i...
10/04/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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

Deep neural networks have demonstrated very promising performance on acc...
07/16/2017 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Unsupervised body part regression using convolutional neural network with self-organization

Automatic body part recognition for CT slices can benefit various medica...
07/12/2017 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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

Pathological lung segmentation (PLS) is an important, yet challenging, m...
06/12/2017 ∙ by Adam P. Harrison, et al. ∙ 0 ∙ share

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Personalized Pancreatic Tumor Growth Prediction via Group Learning

Tumor growth prediction, a highly challenging task, has long been viewed...
06/01/2017 ∙ by Ling Zhang, et al. ∙ 0 ∙ share

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

The chest X-ray is one of the most commonly accessible radiological exam...
05/05/2017 ∙ by Xiaosong Wang, et al. ∙ 0 ∙ share

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

Accurate and automatic organ segmentation from 3D radiological scans is ...
01/31/2017 ∙ by Holger R. Roth, et al. ∙ 0 ∙ share

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

The recent rapid and tremendous success of deep convolutional neural net...
01/23/2017 ∙ by Xiaosong Wang, et al. ∙ 0 ∙ share

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

Accurately predicting and detecting interstitial lung disease (ILD) patt...
01/19/2017 ∙ by Mingchen Gao, et al. ∙ 0 ∙ share

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Le Lu

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