Le Lu
Orcid: 0000-0002-6799-9416Affiliations:
- Alibaba Group, DAMO Academy, Hangzhou, China
- National Institutes of Health, Bethesda, MD, USA (former)
- PAII Inc., Bethesda Research Lab. Bethesda, MD, USA (former)
- Johns Hopkins University, Baltimore, USA (former, PhD)
According to our database1,
Le Lu
authored at least 227 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on cs.jhu.edu
On csauthors.net:
Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal.
IEEE Trans. Image Process., 2024
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR, 2024
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR, 2024
2023
Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling.
IEEE Trans. Medical Imaging, 2023
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.
CoRR, 2023
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning.
CoRR, 2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.
CoRR, 2023
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR, 2023
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging.
CoRR, 2023
Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
M<sup>2</sup>Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT.
Proceedings of the Information Processing in Medical Imaging, 2023
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with <sup>18</sup>F-FDG PET.
Proceedings of the Information Processing in Medical Imaging, 2023
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
CoRR, 2022
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.
CoRR, 2022
Briefings Bioinform., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
IEEE Trans. Medical Imaging, 2021
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.
Medical Image Anal., 2021
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing.
Medical Image Anal., 2021
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy.
Medical Image Anal., 2021
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis.
CoRR, 2021
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study.
CoRR, 2021
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI.
CoRR, 2021
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.
CoRR, 2021
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT.
CoRR, 2021
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search.
CoRR, 2021
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.
Proceedings of the Information Processing in Medical Imaging, 2021
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
IEEE J. Biomed. Health Informatics, 2020
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays.
CoRR, 2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020
CoRR, 2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
CoRR, 2020
CoRR, 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.
CoRR, 2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.
CoRR, 2020
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
CoRR, 2020
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.
CoRR, 2020
CoRR, 2020
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images.
Proceedings of the Computer Vision - ECCV 2020, 2020
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
CoRR, 2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
IEEE Trans. Medical Imaging, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Medical Image Anal., 2018
IEEE Multim., 2018
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.
CoRR, 2018
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.
CoRR, 2018
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Self-learning to detect and segment cysts in lung CT images without manual annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Unsupervised body part regression via spatially self-ordering convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Deep LOGISMOS: Deep learning graph-based 3D segmentation of pancreatic tumors on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017
IEEE J. Biomed. Health Informatics, 2017
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
IEEE Trans. Image Process., 2017
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.
CoRR, 2017
Unsupervised body part regression using convolutional neural network with self-organization.
CoRR, 2017
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.
CoRR, 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Automatic MR prostate segmentation by deep learning with holistically-nested networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Pelvic artery calcification detection on CT scans using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Combining fully convolutional networks and graph-based approach for automated segmentation of cervical cell nuclei.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the AMIA 2017, 2017
Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
IEEE Trans. Medical Imaging, 2016
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.
IEEE Trans. Medical Imaging, 2016
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation.
J. Mach. Learn. Res., 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Active appearance model and deep learning for more accurate prostate segmentation on MRI.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Deep convolutional networks for automated detection of posterior-element fractures on spine CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Colitis detection on computed tomography using regional convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Segmentation label propagation using deep convolutional neural networks and dense conditional random field.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging, 2015
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression.
Medical Image Anal., 2015
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications.
CoRR, 2014
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis.
CoRR, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Multilevel image recognition using discriminative patches and kernel covariance descriptor.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse-to-fine deformable model.
Comput. Vis. Image Underst., 2013
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images.
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013
2012
Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information.
Bioinform., 2012
Proceedings of the Computer Vision - ACCV 2012, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Effective 3D object detection and regression using probabilistic segmentation features in CT images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009
2008
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography.
Proceedings of the Computer Vision, 2008
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
Image Vis. Comput., 2006
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning, 2006
2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004
2001
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001
2000
A Novel Method for Camera Planar Motion Detection and Robust Estimation of the 1D Trifocal Tensor.
Proceedings of the 15th International Conference on Pattern Recognition, 2000