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References from NHPVS: a nodule-aware deep learning method for high-abundance pulmonary vessel segmentation on chest CT. Local targets link to admitted publications; unresolved targets remain external evidence.
The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans
10.1118/1.3528204 · 2011 · External reference
Deep learning-driven retinal vessel segmentation using a transformer-based architecture: a performance evaluation
10.1109/icarc68737.2026.11454025 · 2026 · External reference
Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules
10.1038/s41598-017-19101-3 · 2018 · External reference
Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images
10.1007/s11548-011-0638-5 · 2011 · External reference
Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences
10.1038/s41467-025-56505-6 · 2025 · External reference
3D U-net: learning dense volumetric segmentation from sparse annotation
10.1007/978-3-319-46723-8_49 · 2016 · External reference
The cancer imaging archive (TCIA): maintaining and operating a public information repository
10.1007/s10278-013-9622-7 · 2013 · External reference
Computed tomographic measures of pulmonary vascular morphology in smokers and their clinical implications
10.1164/rccm.201301-0162oc · 2013 · External reference
Swin UNETR: swin transformers for semantic segmentation of brain tumors in MRI images
10.1007/978-3-031-08999-2_22 · 2022 · External reference
A multi-branch framework for cross-domain vessel segmentation via the few-shot paradigm
10.1007/978-3-032-04971-1_2 · 2026 · External reference
Three dimensional computed tomography lung modeling is useful in simulation and navigation of lung cancer surgery
10.5761/atcs.ra.12.02174 · 2013 · External reference
10.1038/s41592-020-01008-z · 2020 · Admitted local publication
A novel lung nodules detection scheme based on vessel segmentation on CT images
10.3233/bme–141139 · 2014 · External reference
Skeleton recall loss for connectivity conserving and resource efficient segmentation of thin tubular structures
10.1007/978-3-031-72980-5_13 · 2024 · External reference
Learning to segment complex vessel-like structures with spectral transformer
10.1016/j.eswa.2023.122851 · 2024 · External reference
A detail-oriented super-2D network for pulmonary artery segmentation
10.1016/j.bspc.2024.106183 · 2024 · External reference
Beyond strong labels: weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs
10.1016/j.media.2024.103378 · 2025 · External reference
Cross-entropy loss functions: theoretical analysis and applications
2023 · External reference
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
10.1016/j.media.2010.02.004 · 2010 · External reference
V-Net: fully convolutional neural networks for volumetric medical image segmentation
2016 · External reference
A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification
10.1016/j.media.2009.07.001 · 2009 · External reference
Attention U-net: learning where to look for the pancreas
2018 · External reference
Emerging multimodality imaging techniques for the pulmonary circulation
10.1183/13993003.01128-2024 · 2024 · External reference
Pulmonary hypertension: ECG-gated 64-section CT angiographic evaluation of new functional parameters as diagnostic criteria
10.1148/radiol.2502080315 · 2008 · External reference
U-net: convolutional networks for biomedical image segmentation
10.1007/978-3-319-24574-4_28 · 2015 · External reference
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
10.1016/j.media.2014.07.003 · 2014 · External reference
Evaluation of pulmonary artery stiffness in pulmonary hypertension with cardiac magnetic resonance
10.1016/j.jcmg.2008.08.007 · 2009 · External reference
Quantitative CT evaluation of small pulmonary vessels has functional and prognostic value in pulmonary hypertension
10.1148/radiol.210482 · 2022 · External reference
Fully convolutional networks for semantic segmentation
10.1109/tpami.2016.2572683 · 2017 · External reference
Correlations of computed tomography measurement of distal pulmonary vascular pruning with airflow limitation and emphysema in COPD patients
10.2147/copd.s362479 · 2022 · External reference
Vasculature surrounding a nodule: a novel lung cancer biomarker
10.1016/j.lungcan.2017.10.008 · 2017 · External reference
Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images
10.1007/s11517-023-02872-5 · 2023 · External reference
DeformCL: learning deformable centerline representation for vessel extraction in 3D medical image
10.48550/arxiv.2506.05820 · 2025 · External reference
A new segment method for pulmonary artery and vein
10.1007/s13755-023-00245-8 · 2023 · External reference
