Image de couverture de livre

Mathematical and numerical methods for accurate aorta segmentation from non-enhanced CT Data yielding reliable identification and evaluation of large vessel vasculitis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Allaly, Konan A., Urban, Jozef, Mikula, Karol
Format:	Preprint
Publié:	2025
Sujets:	Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FDG PET/CT in large vessel vasculitis
par: Karan Bir Singh, et autres
Publié: (2024)

Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA
par: Gijs D. van Praagh, et autres
Publié: (2024)

Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography
par: He Deng, et autres
Publié: (2025)

Masked pre‐training and pseudo‐vessel enhancement‐based semi‐supervised cerebral vascular segmentation
par: Shuai Wang, et autres
Publié: (2026)

Automatic vessel attenuation measurement for quality control of contrast‐enhanced CT: Validation on the portal vein
par: Kevin McCoy, et autres
Publié: (2024)

A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms
par: Zhendong Zhang, et autres
Publié: (2024)

Retinal vessel segmentation driven by structure prior tokens
par: Jiaqi Guo, et autres
Publié: (2025)

Dual branch segment anything model‐transformer fusion network for accurate breast ultrasound image segmentation
par: Yu Li, et autres
Publié: (2025)

Segmentation‐assisted vessel centerline extraction from cerebral CT Angiography
par: Sijie Liu, et autres
Publié: (2025)

How accurately can quantitative imaging methods be ranked without ground truth: An upper bound on no-gold-standard evaluation
par: Liu, Yan, et autres
Publié: (2024)

Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment
par: Yifan Li, et autres
Publié: (2024)

Iterative joint learning integrating temporal and geometric information for vessel segmentation in X‐ray coronary angiography
par: Yunlong Gao, et autres
Publié: (2026)

Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging
par: Shreyas H Ramananda, et autres
Publié: (2025)

Hybrid GPU Monte Carlo software toolkit for fast and accurate cone‐beam CT simulation
par: Jericho O'Connell, et autres
Publié: (2025)

Deep learning‐based low‐dose CT simulator for non‐linear reconstruction methods
par: Sjoerd A. M. Tunissen, et autres
Publié: (2024)

A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation
par: Edward R. Criscuolo, et autres
Publié: (2025)

Improved segmentation of cardiac structures in echocardiograms for diastolic function evaluation
par: Chengcong Lv, et autres
Publié: (2026)

A hybrid training database and evaluation benchmark for assessing metal artifact reduction methods for X‐ray CT imaging
par: Nils Peters, et autres
Publié: (2025)

Healthy lung and heart reference volumes and dosimetry phantoms from automatic CT segmentation
par: Chung Yoh Kim, et autres
Publié: (2025)

Necessity and impact of specialization of large foundation model for medical segmentation tasks
par: Eric Nguyen, et autres
Publié: (2024)

Fast and accurate peak skin dose estimation method for interventional fluoroscopy patients
par: Haegin Han, et autres
Publié: (2025)

Attention‐enhanced multiscale feature fusion network for pancreas and tumor segmentation
par: Kaiqi Dong, et autres
Publié: (2024)

Lightweight deep training network for lymph nodes segmentation from head and neck CT images
par: Fan Lu, et autres
Publié: (2025)

UNet‐based multi‐organ segmentation in photon counting CT using virtual monoenergetic images
par: Sumin Baek, et autres
Publié: (2024)

Thymoma habitat segmentation and risk prediction model using CT imaging and K‐means clustering
par: Zhu Liang, et autres
Publié: (2025)

Multiclass plaque segmentation of coronary artery disease patients using an enhanced model
par: Ting Chen, et autres
Publié: (2025)

Geometrically focused training and evaluation of organs‐at‐risk segmentation via deep learning
par: Ruiyan Ni, et autres
Publié: (2025)

Demographic‐aware deep learning for multi‐organ segmentation: Mitigating gender and age biases in CT images
par: Junqiang Ma, et autres
Publié: (2026)

Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
par: Zhongxing Zhou, et autres
Publié: (2024)

Automatic segmentation of spine x‐ray images based on multiscale feature enhancement network
par: Wenliao Du, et autres
Publié: (2024)

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
par: Jue Jiang, et autres
Publié: (2024)

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
par: Yazdan Salimi, et autres
Publié: (2024)

Learning anatomy from unlabelled CT volumes: A self‐supervised framework for improving prostate radiotherapy segmentation
par: Diyana Afrina Hizam, et autres
Publié: (2026)

Quantitative evaluation of 90Y‐PET/CT and 90Y‐SPECT/CT‐based dosimetry following Yttrium‐90 radioembolization
par: Srinivas Cheenu Kappadath, et autres
Publié: (2024)

Risk classification of thymoma based on multi‐feature fusion in dynamic enhanced CT
par: Xiayan Peng, et autres
Publié: (2025)

In‐line spectroscopy for iodine quantification in dynamic contrast‐enhanced dedicated breast CT
par: Liselot C. Goris, et autres
Publié: (2024)

Spectral virtual non‐contrast imaging assisted by artificial intelligence segmentation
par: Mohsen Beikali Soltani, et autres
Publié: (2025)

Phantom evaluation of spectral performance in photon‐counting CT for breast cancer imaging
par: Liqiang Ren, et autres
Publié: (2026)

Comparative evaluation of dual‐layer spectral CT protocols for mouse chest imaging
par: Shupei Zhong, et autres
Publié: (2026)

An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI
par: Shuning Li, et autres
Publié: (2025)