Saved in:
| Main Authors: | Allaly, Konan A., Urban, Jozef, Mikula, Karol |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.11303 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FDG PET/CT in large vessel vasculitis
by: Karan Bir Singh, et al.
Published: (2024)
by: Karan Bir Singh, et al.
Published: (2024)
Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA
by: Gijs D. van Praagh, et al.
Published: (2024)
by: Gijs D. van Praagh, et al.
Published: (2024)
Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography
by: He Deng, et al.
Published: (2025)
by: He Deng, et al.
Published: (2025)
Masked pre‐training and pseudo‐vessel enhancement‐based semi‐supervised cerebral vascular segmentation
by: Shuai Wang, et al.
Published: (2026)
by: Shuai Wang, et al.
Published: (2026)
Automatic vessel attenuation measurement for quality control of contrast‐enhanced CT: Validation on the portal vein
by: Kevin McCoy, et al.
Published: (2024)
by: Kevin McCoy, et al.
Published: (2024)
A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms
by: Zhendong Zhang, et al.
Published: (2024)
by: Zhendong Zhang, et al.
Published: (2024)
Retinal vessel segmentation driven by structure prior tokens
by: Jiaqi Guo, et al.
Published: (2025)
by: Jiaqi Guo, et al.
Published: (2025)
Dual branch segment anything model‐transformer fusion network for accurate breast ultrasound image segmentation
by: Yu Li, et al.
Published: (2025)
by: Yu Li, et al.
Published: (2025)
Segmentation‐assisted vessel centerline extraction from cerebral CT Angiography
by: Sijie Liu, et al.
Published: (2025)
by: Sijie Liu, et al.
Published: (2025)
How accurately can quantitative imaging methods be ranked without ground truth: An upper bound on no-gold-standard evaluation
by: Liu, Yan, et al.
Published: (2024)
by: Liu, Yan, et al.
Published: (2024)
Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment
by: Yifan Li, et al.
Published: (2024)
by: Yifan Li, et al.
Published: (2024)
Iterative joint learning integrating temporal and geometric information for vessel segmentation in X‐ray coronary angiography
by: Yunlong Gao, et al.
Published: (2026)
by: Yunlong Gao, et al.
Published: (2026)
Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging
by: Shreyas H Ramananda, et al.
Published: (2025)
by: Shreyas H Ramananda, et al.
Published: (2025)
Hybrid GPU Monte Carlo software toolkit for fast and accurate cone‐beam CT simulation
by: Jericho O'Connell, et al.
Published: (2025)
by: Jericho O'Connell, et al.
Published: (2025)
Deep learning‐based low‐dose CT simulator for non‐linear reconstruction methods
by: Sjoerd A. M. Tunissen, et al.
Published: (2024)
by: Sjoerd A. M. Tunissen, et al.
Published: (2024)
A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation
by: Edward R. Criscuolo, et al.
Published: (2025)
by: Edward R. Criscuolo, et al.
Published: (2025)
Improved segmentation of cardiac structures in echocardiograms for diastolic function evaluation
by: Chengcong Lv, et al.
Published: (2026)
by: Chengcong Lv, et al.
Published: (2026)
A hybrid training database and evaluation benchmark for assessing metal artifact reduction methods for X‐ray CT imaging
by: Nils Peters, et al.
Published: (2025)
by: Nils Peters, et al.
Published: (2025)
Healthy lung and heart reference volumes and dosimetry phantoms from automatic CT segmentation
by: Chung Yoh Kim, et al.
Published: (2025)
by: Chung Yoh Kim, et al.
Published: (2025)
Fast and accurate peak skin dose estimation method for interventional fluoroscopy patients
by: Haegin Han, et al.
Published: (2025)
by: Haegin Han, et al.
Published: (2025)
Necessity and impact of specialization of large foundation model for medical segmentation tasks
by: Eric Nguyen, et al.
Published: (2024)
by: Eric Nguyen, et al.
Published: (2024)
Attention‐enhanced multiscale feature fusion network for pancreas and tumor segmentation
by: Kaiqi Dong, et al.
Published: (2024)
by: Kaiqi Dong, et al.
Published: (2024)
Lightweight deep training network for lymph nodes segmentation from head and neck CT images
by: Fan Lu, et al.
Published: (2025)
by: Fan Lu, et al.
Published: (2025)
UNet‐based multi‐organ segmentation in photon counting CT using virtual monoenergetic images
by: Sumin Baek, et al.
Published: (2024)
by: Sumin Baek, et al.
Published: (2024)
Thymoma habitat segmentation and risk prediction model using CT imaging and K‐means clustering
by: Zhu Liang, et al.
Published: (2025)
by: Zhu Liang, et al.
Published: (2025)
Geometrically focused training and evaluation of organs‐at‐risk segmentation via deep learning
by: Ruiyan Ni, et al.
Published: (2025)
by: Ruiyan Ni, et al.
Published: (2025)
Multiclass plaque segmentation of coronary artery disease patients using an enhanced model
by: Ting Chen, et al.
Published: (2025)
by: Ting Chen, et al.
Published: (2025)
Demographic‐aware deep learning for multi‐organ segmentation: Mitigating gender and age biases in CT images
by: Junqiang Ma, et al.
Published: (2026)
by: Junqiang Ma, et al.
Published: (2026)
Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
by: Zhongxing Zhou, et al.
Published: (2024)
by: Zhongxing Zhou, et al.
Published: (2024)
A comparative evaluation of CT global noise calculation methods for clinical image quality assessment
by: Charles M Weaver, et al.
Published: (2025)
by: Charles M Weaver, et al.
Published: (2025)
Quantitative evaluation of 90Y‐PET/CT and 90Y‐SPECT/CT‐based dosimetry following Yttrium‐90 radioembolization
by: Srinivas Cheenu Kappadath, et al.
Published: (2024)
by: Srinivas Cheenu Kappadath, et al.
Published: (2024)
Automatic segmentation of spine x‐ray images based on multiscale feature enhancement network
by: Wenliao Du, et al.
Published: (2024)
by: Wenliao Du, et al.
Published: (2024)
Phantom evaluation of spectral performance in photon‐counting CT for breast cancer imaging
by: Liqiang Ren, et al.
Published: (2026)
by: Liqiang Ren, et al.
Published: (2026)
Comparative evaluation of dual‐layer spectral CT protocols for mouse chest imaging
by: Shupei Zhong, et al.
Published: (2026)
by: Shupei Zhong, et al.
Published: (2026)
Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
by: Jue Jiang, et al.
Published: (2024)
by: Jue Jiang, et al.
Published: (2024)
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
by: Yazdan Salimi, et al.
Published: (2024)
by: Yazdan Salimi, et al.
Published: (2024)
Learning anatomy from unlabelled CT volumes: A self‐supervised framework for improving prostate radiotherapy segmentation
by: Diyana Afrina Hizam, et al.
Published: (2026)
by: Diyana Afrina Hizam, et al.
Published: (2026)
Risk classification of thymoma based on multi‐feature fusion in dynamic enhanced CT
by: Xiayan Peng, et al.
Published: (2025)
by: Xiayan Peng, et al.
Published: (2025)
In‐line spectroscopy for iodine quantification in dynamic contrast‐enhanced dedicated breast CT
by: Liselot C. Goris, et al.
Published: (2024)
by: Liselot C. Goris, et al.
Published: (2024)
Spectral virtual non‐contrast imaging assisted by artificial intelligence segmentation
by: Mohsen Beikali Soltani, et al.
Published: (2025)
by: Mohsen Beikali Soltani, et al.
Published: (2025)
Similar Items
-
FDG PET/CT in large vessel vasculitis
by: Karan Bir Singh, et al.
Published: (2024) -
Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT–SEQUOIA
by: Gijs D. van Praagh, et al.
Published: (2024) -
Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography
by: He Deng, et al.
Published: (2025) -
Masked pre‐training and pseudo‐vessel enhancement‐based semi‐supervised cerebral vascular segmentation
by: Shuai Wang, et al.
Published: (2026) -
Automatic vessel attenuation measurement for quality control of contrast‐enhanced CT: Validation on the portal vein
by: Kevin McCoy, et al.
Published: (2024)