Buchumschlag

PSMA PET/MRI‐based Swin Transformer architecture for Gleason Score prediction in prostate cancer

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Tianshuo Yang, Huai Zhang, Huiling Peng, Xiaobing Niu, Fengjiao Yang, Jun Zhang, Qiuhu Wang, Junfu Fan, Yaqi Song, Weijing Tao
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2026
Schlagworte:	Medical Physics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of 18F‐PSMA PET imaging in metastatic prostate cancer
von: Roberto Fedrigo, et al.
Veröffentlicht: (2024)

Prognostic value of PSMA PET in predicting long‐term biochemical control following curative intent treatment for prostate cancer
von: Angus Ades, et al.
Veröffentlicht: (2024)

Prognostic impact of prostate‐specific membrane antigen positron emission tomography (PSMA PET) staging for clinically node‐positive prostate cancer
von: Boon Yang Jerome Leow, et al.
Veröffentlicht: (2024)

Global and local information‐based prostate image registration of prostate‐specific membrane antigen PET/CT and enhanced MRI
von: Yu'ang Niu, et al.
Veröffentlicht: (2025)

PSMA PET/CT as a predictive tool for sub-regional importance estimates in the parotid gland
von: Sample, Caleb, et al.
Veröffentlicht: (2023)

Neural blind deconvolution for deblurring and supersampling PSMA PET
von: Sample, Caleb, et al.
Veröffentlicht: (2023)

Transforming [ 177 Lu]Lu‐PSMA‐617 treatment planning: Machine learning‐based radiodosiomics and swin UNETR using pretherapy PSMA positron emission tomography/computed tomography (PET/CT)
von: Elmira Yazdani, et al.
Veröffentlicht: (2025)

Lesion‐guided selective multi‐modal integration for prostate cancer segmentation and PI‐RADS grading in MP‐MRI
von: Menglin Wu, et al.
Veröffentlicht: (2025)

MRI‐based prostate cancer classification using 3D efficient capsule network
von: Yuheng Li, et al.
Veröffentlicht: (2024)

Introduction to matrix‐based method for analyzing hybrid multidimensional prostate MRI data
von: Xiaobing Fan, et al.
Veröffentlicht: (2024)

Beyond the Tumor: Recurrence-Prone Radiomics for Prognostication in Negative PSMA PET/CT scans of Prostate Cancer
von: Yousefirizi, Fereshteh, et al.
Veröffentlicht: (2026)

Towards Routine AI-Based PET/CT and SPECT/CT Lesion Segmentation and Tracking in PSMA Theranostics
von: Yousefirizi, Fereshteh, et al.
Veröffentlicht: (2026)

A clustering‐based approach to address correlated features in predicting genitourinary toxicity from MRI‐guided prostate SBRT
von: Pouyan Rezapoor, et al.
Veröffentlicht: (2025)

A novel method for pharmacokinetic parameters quantification in DCE‐MRI: Application in prostate cancer
von: Jhonalbert Aponte, et al.
Veröffentlicht: (2026)

A multi‐objective optimization method for seed distribution in prostate cancer low‐dose‐rate brachytherapy
von: Binbing Wang, et al.
Veröffentlicht: (2025)

Cross‐shaped windows transformer with self‐supervised pretraining for clinically significant prostate cancer detection in bi‐parametric MRI
von: Yuheng Li, et al.
Veröffentlicht: (2024)

Preoperative prediction of lymph node metastasis in colorectal cancer using 18F‐FDG PET/CT peritumoral radiomics analysis
von: Yan Wang, et al.
Veröffentlicht: (2024)

Utility of SUVmax on Primary Staging 68Ga ‐ PSMA PET in Determining Metastatic Status of Prostate Cancer
von: Geoffrey Liu, et al.
Veröffentlicht: (2026)

Beam field guided diffusion model for liver cancer radiotherapy dose distribution prediction
von: Xiangxu Cao, et al.
Veröffentlicht: (2025)

K‐means clustering‐based analysis of quantitative ultrafast DCE‐MRI for predicting breast cancer response to neoadjuvant chemotherapy
von: Zhen Ren, et al.
Veröffentlicht: (2025)

A novel network architecture for post‐applicator placement CT auto‐contouring in cervical cancer HDR brachytherapy
von: Yang Lei, et al.
Veröffentlicht: (2025)

Investigating heterogeneous PSMA ligand uptake inside parotid glands
von: Sample, Caleb, et al.
Veröffentlicht: (2024)

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

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

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

Artifact‐free partial volume correction for 177 Lu‐PSMA SPECT
von: Yibin Liu, et al.
Veröffentlicht: (2025)

Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times
von: Karoline Kallis, et al.
Veröffentlicht: (2024)

Design and characterization of a hybrid PET detector with DOI capability
von: Wen He, et al.
Veröffentlicht: (2024)

Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans
von: Hein, Stefan P., et al.
Veröffentlicht: (2024)

A segmentation method for cardiac MRI that incorporates region constraint guidance and tubular structure awareness within a Siamese network architecture
von: Qiaohong Liu, et al.
Veröffentlicht: (2025)

Deep learning‐based dose prediction for magnetic resonance‐guided prostate radiotherapy
von: Samuel Fransson, et al.
Veröffentlicht: (2024)

A 3D deep learning model based on MRI for predicting lymphovascular invasion in rectal cancer
von: Tangjuan Wang, et al.
Veröffentlicht: (2025)

Point‐cloud segmentation with in‐silico data augmentation for prostate cancer treatment
von: Jianxin Zhou, et al.
Veröffentlicht: (2025)

Post hoc estimation of a quantitative restriction spectrum imaging biomarker for prostate cancer detection using conventional MRI
von: Deondre D. Do, et al.
Veröffentlicht: (2026)

Comparison of reduced field‐of‐view DWI with conventional DWI for machine learning‐based assessment of lymphovascular invasion in rectal cancer
von: Weinuo Qu, et al.
Veröffentlicht: (2025)

Impact of bladder volume and bladder shape on radiotherapy consistency and treatment interruption in prostate cancer patients
von: Sijuan Huang, et al.
Veröffentlicht: (2025)

Methodological concerns on prostate‐specific membrane antigen ( PSMA) immunohistochemistry for predicting PSMA ‐ PET avidity
von: Yukun Liu, et al.
Veröffentlicht: (2026)

Predictive Dosimetry in PSMA-Targeted Radiopharmaceutical Therapies: A PBPK Modeling and Machine Learning Study
von: Abdollahi, Hamid, et al.
Veröffentlicht: (2025)

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

Knowledge‐based plan library‐guided adaptive proton stereotactic ablative radiotherapy (SABR) for localized prostate cancer
von: Keyur D. Shah, et al.
Veröffentlicht: (2025)