Copertina

Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Yazdan Salimi, Zahra Mansouri, Ghasem Hajianfar, Amirhossein Sanaat, Isaac Shiri, Habib Zaidi
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2024
Soggetti:	Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study
di: Xiaotong Hong, et al.
Pubblicazione: (2025)

Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization
di: Omid Gharibi, et al.
Pubblicazione: (2024)

Segmentation-Free Outcome Prediction from Head and Neck Cancer PET/CT Images: Deep Learning-Based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs)
di: Toosi, Amirhosein, et al.
Pubblicazione: (2024)

Image reconstruction and elongation artifact reduction for a dual‐panel dedicated prostate PET scanner
di: Abdollah Saberi Manesh, et al.
Pubblicazione: (2026)

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
di: Yousefirizi, Fereshteh, et al.
Pubblicazione: (2022)

From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation
di: Kazaj, Pooya Mohammadi, et al.
Pubblicazione: (2025)

Absorbed dose differences between twin fetuses for pregnancy patients in CT examinations
di: Shuiyin Qu, et al.
Pubblicazione: (2025)

Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniques
di: Benyamin Khajetash, et al.
Pubblicazione: (2025)

Generation of synthetic CT from MRI for MRI‐based attenuation correction of brain PET images using radiomics and machine learning
di: Amin Hoseinipourasl, et al.
Pubblicazione: (2025)

Semi‐supervised abdominal multi‐organ segmentation by object‐redrawing
di: Min Jeong Cho, et al.
Pubblicazione: (2024)

Auto‐segmentation of thoraco‐abdominal organs in pediatric dynamic MRI
di: Yusuf Akhtar, et al.
Pubblicazione: (2025)

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

Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies
di: Lopez-Montes, Alejandro, et al.
Pubblicazione: (2025)

Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancer
di: Amin Talebi, et al.
Pubblicazione: (2024)

High-energy X-ray phase-contrast CT of an adult human chest phantom
di: Ahlers, Jannis N., et al.
Pubblicazione: (2025)

Digital phantom versus patient‐specific radiation dosimetry in adult routine thorax CT examinations
di: Antonios E. Papadakis, et al.
Pubblicazione: (2024)

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

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

AI-Augmented Thyroid Scintigraphy for Robust Classification
di: Sabouri, Maziar, et al.
Pubblicazione: (2025)

Label‐efficient sequential model‐based weakly supervised intracranial hemorrhage segmentation in low‐data non‐contrast CT imaging
di: Shreyas H Ramananda, et al.
Pubblicazione: (2025)

Full-body deep learning-based automated contouring of contrast-enhanced murine organs for small animal irradiator CBCT
di: Cramer, Ethan, et al.
Pubblicazione: (2024)

Standard audiogram classification from loudness scaling data using unsupervised, supervised, and explainable machine learning techniques
di: Xu, Chen, et al.
Pubblicazione: (2025)

Per-Lesion Radiomics Analysis of 68Ga-DOTA FAPI-46 and 18F-FDG PET/CT in Non-Small Cell Lung Cancer: A pilot Study
di: Hasanabadi, Setareh, et al.
Pubblicazione: (2025)

Strategies for deep learning‐based attenuation and scatter correction of brain 18F‐FDG PET images in the image domain
di: Reza Jahangir, et al.
Pubblicazione: (2024)

Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast
di: Pollock, James A., et al.
Pubblicazione: (2024)

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

Fully automated planning for anatomical fetal brain MRI on 0.55T
di: Silva, Sara Neves, 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)

Introducing fitting models for estimating age‐specific dose and effective dose in paediatric patients undergoing head, chest and abdomen–pelvis imaging protocols: a patient study
di: Mohammad Reza Deevband, et al.
Pubblicazione: (2024)

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

Topology‐preserving segmentation of abdominal muscle layers from ultrasound images
di: Feiyang Liao, et al.
Pubblicazione: (2024)

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

Impact of partial volume correction on radiomics reproducibility in theranostic SPECT/CT imaging
di: Mohammad Saber Azimi, et al.
Pubblicazione: (2026)

Decentralized learning for medical image classification with prototypical contrastive network
di: Zhantao Cao, et al.
Pubblicazione: (2025)

Explanations of MTF discrepancy in grating-based X-ray differential phase contrast CT imaging
di: Tan, Yuhang, et al.
Pubblicazione: (2024)

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)

Non-unique water and contrast agent solutions in dual-energy CT
di: Phillips, JP, et al.
Pubblicazione: (2024)

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy
di: Ding, Mianyong, et al.
Pubblicazione: (2026)

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

An overview of SARS‐CoV2 natural infections in companion animals: A systematic review of the current evidence
di: Zahra Heydarifard, et al.
Pubblicazione: (2024)