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 Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Depending on the application, radiological diagnoses can be associated w...
04/12/2021 ∙ by Bowen Li, et al. ∙ 12 ∙ share

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Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

3D delineation of anatomical structures is a cardinal goal in medical im...
04/07/2021 ∙ by Ashwin Raju, et al. ∙ 0 ∙ share

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Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray

Osteoporosis is a common chronic metabolic bone disease that is often un...
04/05/2021 ∙ by Fakai Wang, et al. ∙ 0 ∙ share

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

Bone mineral density (BMD) is a clinically critical indicator of osteopo...
03/24/2021 ∙ by Kang Zheng, et al. ∙ 0 ∙ share

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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 ...
03/24/2021 ∙ by Bolin Lai, et al. ∙ 0 ∙ share

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Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich ...
03/09/2021 ∙ by Jieneng Chen, et al. ∙ 0 ∙ share

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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-...
12/30/2020 ∙ by Yirui Wang, et al. ∙ 0 ∙ share

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

Accurate vertebra localization and identification are required in many c...
12/14/2020 ∙ by Fakai Wang, et al. ∙ 0 ∙ share

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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 ...
12/13/2020 ∙ by Bolin Lai, et al. ∙ 0 ∙ share

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Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation

Gross tumor volume (GTV) delineation on tomography medical imaging is cr...
12/12/2020 ∙ by Chun-Hung Chao, et al. ∙ 4 ∙ share

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

Monitoring treatment response in longitudinal studies plays an important...
12/09/2020 ∙ by Jinzheng Cai, et al. ∙ 17 ∙ share

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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 ...
12/08/2020 ∙ by Tianyi Zhao, et al. ∙ 0 ∙ share

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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...
12/07/2020 ∙ by Xinyu Zhang, et al. ∙ 0 ∙ share

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

Radiological images such as computed tomography (CT) and X-rays render a...
12/04/2020 ∙ by Ke Yan, et al. ∙ 0 ∙ share

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Contour Transformer Network for One-shot Segmentation of Anatomical Structures

Accurate segmentation of anatomical structures is vital for medical imag...
12/02/2020 ∙ by Yuhang Lu, et al. ∙ 10 ∙ share

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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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Le Lu

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