Copertina

Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Shreyas H Ramananda, Vaanathi Sundaresan
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
Soggetti:	Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation
di: Elakkyen Murugesu, et al.
Pubblicazione: (2026)

Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment
di: Yifan Li, et al.
Pubblicazione: (2024)

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
di: Jue Jiang, et al.
Pubblicazione: (2024)

Spectral virtual non‐contrast imaging assisted by artificial intelligence segmentation
di: Mohsen Beikali Soltani, et al.
Pubblicazione: (2025)

A segment anything model‐guided and match‐based semi‐supervised segmentation framework for medical imaging
di: Guoping Xu, et al.
Pubblicazione: (2025)

Semi‐supervised medical image segmentation based on dual swap data mixing and cross EMA strategies
di: Licheng Zheng, et al.
Pubblicazione: (2025)

Accelerating vision foundation model for efficient medical image segmentation
di: Xian‐Tao Wu, et al.
Pubblicazione: (2025)

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
di: Sundaresan, Vaanathi, et al.
Pubblicazione: (2024)

A segmentation method for oral CBCT image based on Segment Anything Model and semi‐supervised teacher‐student model
di: Jianhong Gan, et al.
Pubblicazione: (2025)

A novel cross‐modal data augmentation method based on contrastive unpaired translation network for kidney segmentation in ultrasound imaging
di: Shuaizi Guo, et al.
Pubblicazione: (2025)

Co‐training semi‐supervised medical image segmentation based on pseudo‐label weight balancing
di: Jiashi Zhao, et al.
Pubblicazione: (2025)

On the origin of MTF reduction in grating‐based x‐ray differential phase contrast CT imaging
di: Yuhang Tan, et al.
Pubblicazione: (2024)

Thymoma habitat segmentation and risk prediction model using CT imaging and K‐means clustering
di: Zhu Liang, et al.
Pubblicazione: (2025)

3D segmentation combining spatial and multi‐scale features for intracranial aneurysm
di: Xinfeng Zhang, et al.
Pubblicazione: (2025)

UNet‐based multi‐organ segmentation in photon counting CT using virtual monoenergetic images
di: Sumin Baek, et al.
Pubblicazione: (2024)

Phantom model for intracranial pressure
di: Batonon, Célia, et al.
Pubblicazione: (2026)

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
di: Yazdan Salimi, et al.
Pubblicazione: (2024)

Diffusion semantic segmentation model: A generative model for medical image segmentation based on joint distribution
di: Tiange Liu, et al.
Pubblicazione: (2025)

Performance evaluation of single‐ and dual‐contrast spectral imaging on a photon‐counting‐detector CT
di: Liqiang Ren, et al.
Pubblicazione: (2024)

Channelized hotelling observer‐based low‐contrast detectability on the ACR CT accreditation phantom: Part II. Repeatability study
di: Mingdong Fan, et al.
Pubblicazione: (2024)

Benchmarking deep learning‐based low‐dose CT image denoising algorithms
di: Elias Eulig, et al.
Pubblicazione: (2024)

Learning anatomy from unlabelled CT volumes: A self‐supervised framework for improving prostate radiotherapy segmentation
di: Diyana Afrina Hizam, et al.
Pubblicazione: (2026)

Polychromatic neutron phase contrast imaging of weakly absorbing samples enabled by phase retrieval
di: Østergaard, Maja, et al.
Pubblicazione: (2022)

Triple collaborative consistency with Mamba for semi‐supervised 3D medical image segmentation
di: Yufei Gao, et al.
Pubblicazione: (2026)

Optimal weighting strategies for maximizing contrast‐to‐noise ratio in photon counting CT images
di: Yirong Yang, et al.
Pubblicazione: (2024)

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

Accuracy of propagation-based phase-contrast CT under the projection approximation
di: Jadick, Giavanna, et al.
Pubblicazione: (2025)

Evaluation of deformable image registration accuracy for liver re‐irradiation patients using contrast and non‐contrast computed tomography images
di: Caitlin Allen, et al.
Pubblicazione: (2025)

Open area segmentation in CT images based on pixel displacement and multi‐view with application in the axillary and lower cervical regions
di: Tiange Liu, et al.
Pubblicazione: (2025)

Vision mamba augmented segment anything model for medical image segmentation
di: Zimao Li, et al.
Pubblicazione: (2026)

Predicting ventilation from single breathing phase non‐contrast CT using Swin Transformers
di: Yi‐Kuan Liu, et al.
Pubblicazione: (2026)

Quantum optimization algorithms for CT image segmentation from X-ray data
di: Jun, Kyungtaek
Pubblicazione: (2023)

Clinical utility of consecutive volume scanning dual‐energy CT in differentiating hemorrhage from contrast staining in ischemic stroke patients
di: Aroon Pressram, et al.
Pubblicazione: (2025)

Uncertainty quantification for CT dosimetry based on 10 281 subjects using automatic image segmentation and fast Monte Carlo calculations
di: Zirui Ye, et al.
Pubblicazione: (2025)

Lightweight deep training network for lymph nodes segmentation from head and neck CT images
di: Fan Lu, et al.
Pubblicazione: (2025)

Using CT images to assist the segmentation of MR images via generalization: Segmentation of the renal parenchyma of renal carcinoma patients
di: Zhengyang Yu, et al.
Pubblicazione: (2024)

Dual‐branch Transformer for semi‐supervised medical image segmentation
di: Xiaojie Huang, et al.
Pubblicazione: (2024)

Iodine and bismuth dual‐contrast imaging on photon‐counting CT with noise‐optimized virtual monoenergetic imaging: Phantom and patient studies
di: Sophia Roth, et al.
Pubblicazione: (2025)

Reconstructing and analyzing the invariances of low‐dose CT image denoising networks
di: Elias Eulig, et al.
Pubblicazione: (2024)

Demographic‐aware deep learning for multi‐organ segmentation: Mitigating gender and age biases in CT images
di: Junqiang Ma, et al.
Pubblicazione: (2026)