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CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.732-740

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From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

European radiology, 2020-12, Vol.30 (12), p.6828-6837

2020

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Quantitative Dual-Energy Computed Tomography Supports a Vascular Etiology of Smoking-induced Inflammatory Lung Disease

American journal of respiratory and critical care medicine, 2016-03, Vol.193 (6), p.652-661

2016

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A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths

Pattern recognition letters, 2016-06, Vol.76, p.32-40

2016

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Editorial: Machine Learning for Quantitative Neuroimaging Analysis

Frontiers in neuroscience, 2022-05, Vol.16, p.925819-925819

2022

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Quantitative imaging of peripheral trabecular bone microarchitecture using MDCT

Medical physics (Lancaster), 2018-01, Vol.45 (1), p.236-249

2018

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Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study

Nature communications, 2022-10, Vol.13 (1), p.6137-6137, Article 6137

2022

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Towards automated organs at risk and target volumes contouring: Defining precision radiation therapy in the modern era

Journal of the National Cancer Center, 2022-12, Vol.2 (4), p.306-313

2022

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Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.195-203

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A Robust Algorithm for Thickness Computation at Low Resolution and Its Application to In Vivo Trabecular Bone CT Imaging

IEEE transactions on biomedical engineering, 2014-07, Vol.61 (7), p.2057-2069

2014

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

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.753-762

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Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT

Frontiers in oncology, 2022-01, Vol.11, p.785788-785788

2022

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A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS)

Medical physics (Lancaster), 2016-05, Vol.43 (5), p.2598-2610

2016

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RETRACTED: CT-Based Risk Factors for Mortality of Patients With COVID-19 Pneumonia in Wuhan, China: A Retrospective Study

Frontiers in radiology, 2021-07, Vol.1

2021

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SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

IEEE transactions on medical imaging, 2022-10, Vol.41 (10), p.2658-2669

2022

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IEEE_Xplore

LViT: Language meets Vision Transformer in Medical Image Segmentation

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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IEEE_Xplore

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy

Medical image analysis, 2021-02, Vol.68, p.101909-101909, Article 101909

2021

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A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path

2014 22nd International Conference on Pattern Recognition, 2014, p.942-947

2014

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IEEE_Xplore

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2556-2568

2019

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IEEE_Xplore

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT

IEEE transactions on medical imaging, 2021-10, Vol.40 (10), p.2759-2770

2021

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IEEE_Xplore

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning

IEEE transactions on medical imaging, 2024-06, Vol.PP, p.1-1

2024

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IEEE_Xplore

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-12

2024

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IEEE_Xplore

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

Machine Learning in Medical Imaging, 2017, p.141-149

2017

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Fuzzy Object Skeletonization: Theory, Algorithms, and Applications

IEEE transactions on visualization and computer graphics, 2018-08, Vol.24 (8), p.2298-2314

2018

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IEEE_Xplore

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

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.4222-4231

2020

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IEEE_Xplore

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CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

Quantitative Dual-Energy Computed Tomography Supports a Vascular Etiology of Smoking-induced Inflammatory Lung Disease

A robust and efficient curve skeletonization algorithm for tree-like objects using minimum cost paths

Editorial: Machine Learning for Quantitative Neuroimaging Analysis

Quantitative imaging of peripheral trabecular bone microarchitecture using MDCT

Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study

Towards automated organs at risk and target volumes contouring: Defining precision radiation therapy in the modern era

Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker

A Robust Algorithm for Thickness Computation at Low Resolution and Its Application to In Vivo Trabecular Bone CT Imaging

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

Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT

A controlled statistical study to assess measurement variability as a function of test object position and configuration for automated surveillance in a multicenter longitudinal COPD study (SPIROMICS)

RETRACTED: CT-Based Risk Factors for Mortality of Patients With COVID-19 Pneumonia in Wuhan, China: A Retrospective Study

SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images

LViT: Language meets Vision Transformer in Medical Image Segmentation

DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy

A New Approach of Arc Skeletonization for Tree-like Objects Using Minimum Cost Path

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans

3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels

Fuzzy Object Skeletonization: Theory, Algorithms, and Applications

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

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