Copertina

T1‐contrast enhanced MRI generation from multi‐parametric MRI for glioma patients with latent tumor conditioning

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Zach Eidex, Mojtaba Safari, Richard L. J. Qiu, David S. Yu, Hui‐Kuo Shu, Hui Mao, Xiaofeng Yang
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

Deep learning based apparent diffusion coefficient map generation from multi‐parametric MR images for patients with diffuse gliomas
di: Zach Eidex, et al.
Pubblicazione: (2024)

T1-contrast Enhanced MRI Generation from Multi-parametric MRI for Glioma Patients with Latent Tumor Conditioning
di: Eidex, Zach, et al.
Pubblicazione: (2024)

Self‐supervised adversarial diffusion models for fast MRI reconstruction
di: Mojtaba Safari, et al.
Pubblicazione: (2025)

Fast MRI Reconstruction Using Deep Learning-based Compressed Sensing: A Systematic Review
di: Safari, Mojtaba, et al.
Pubblicazione: (2024)

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Systematic Review and Meta-analysis of AI-driven MRI Motion Artifact Detection and Correction
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Res-MoCoDiff: Residual-guided diffusion models for motion artifact correction in brain MRI
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation
di: Eidex, Zach, et al.
Pubblicazione: (2025)

Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
di: Elahheh Salari, et al.
Pubblicazione: (2024)

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
di: Safari, Mojtaba, et al.
Pubblicazione: (2024)

Detection and segmentation of brain metastases on MRI using 3D‐MedDCNet
di: Yizhou Wu, et al.
Pubblicazione: (2025)

Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas
di: Eidex, Zach, et al.
Pubblicazione: (2024)

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

Performance of GPT-5 in Brain Tumor MRI Reasoning
di: Safari, Mojtaba, et al.
Pubblicazione: (2025)

Generalizable 7T T1-map Synthesis from 1.5T and 3T T1 MRI with an Efficient Transformer Model
di: Eidex, Zach, et al.
Pubblicazione: (2025)

Distribution matching with subset‐ k ‐space embedding for multi‐contrast MRI reconstruction
di: Yu Guan, et al.
Pubblicazione: (2025)

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
di: Liu, Xiaofeng, et al.
Pubblicazione: (2024)

Correction to “Pixel‐level transformer GAN for enhanced parametric mapping of DCE MRI analysis”
Pubblicazione: (2026)

MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors
di: Golbabaee, Mohammad, et al.
Pubblicazione: (2026)

Coupling of state space modules and attention mechanisms: An input‐aware multi‐contrast MRI synthesis method
di: Shuai Chen, et al.
Pubblicazione: (2024)

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

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
di: Mayo, Perla, et al.
Pubblicazione: (2025)

Assessing tumor microstructure with time‐dependent diffusion imaging: Considerations and feasibility on clinical MRI and MRI‐Linac
di: Minea Jokivuolle, et al.
Pubblicazione: (2024)

An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI
di: Shuning Li, et al.
Pubblicazione: (2025)

Probabilistic template matching for detecting resting‐state functional MRI language network in brain tumor patients
di: Jian Ming Teo, et al.
Pubblicazione: (2025)

Compartment-specific estimation of T2 and T2* with diffusion-PEPTIDE MRI
di: Gong, Ting, et al.
Pubblicazione: (2024)

VQ-Wave: A physics-driven spatio-temporal deep learning approach for non-contrast-enhanced lung ventilation and perfusion MRI
di: Bauman, Grzegorz, et al.
Pubblicazione: (2026)

A comparison of 7 Tesla MR spectroscopic imaging and 3 Tesla MR fingerprinting for tumor localization in glioma patients
di: Lazen, Philipp, et al.
Pubblicazione: (2023)

Low-Dose CT Imaging Using a Regularization-Enhanced Efficient Diffusion Probabilistic Model
di: Li, Qiang, et al.
Pubblicazione: (2025)

MRI-based Material Mass Density and Relative Stopping Power Estimation via Deep Learning for Proton Therapy
di: Gao, Yuan, et al.
Pubblicazione: (2022)

Small and large‐scale information collaborative unet for metastatic lymph node segmentation of multi‐modal nasopharyngeal carcinoma MRI images
di: Haoyang Zhou, et al.
Pubblicazione: (2026)

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
di: Solomon, Eddy, et al.
Pubblicazione: (2024)

Evaluation of internal target volume of abdominal tumors using cine‐MRI
di: Jessica Lye, et al.
Pubblicazione: (2025)

Ensuring the Safety of MRI Patients With Medical Implants or Devices In Situ: A Snapshot in Time of the Role and Responsibilities of New Zealand and Australian MRI Technologists (Radiographers)
di: Adrienne Young, et al.
Pubblicazione: (2025)

Modular breast and tumor perfusion phantoms for 4D dynamic contrast‐enhanced dedicated breast CT
di: Liselot C. Goris, et al.
Pubblicazione: (2025)

Multi‐pathway fusion network for early‐stage breast tumor segmentation from MRI
di: Yeru Xia, et al.
Pubblicazione: (2025)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
di: Ren, Jintao, et al.
Pubblicazione: (2024)