Copertina

Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Loizillon, Sophie, Bottani, Simona, Mabille, Stéphane, Jacob, Yannick, Maire, Aurélien, Ströer, Sebastian, Dormont, Didier, Colliot, Olivier, Burgos, Ninon
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET
di: Hassanaly, Ravi, et al.
Pubblicazione: (2024)

Confidence Intervals for Performance Estimates in Brain MRI Segmentation
di: Jurdi, R. El, et al.
Pubblicazione: (2023)

Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI
di: Kanli, Georgia, et al.
Pubblicazione: (2025)

Economic and environmental sustainability dimensions of a fashion supply chain: A quantitative model
di: Eleonora Bottani
Pubblicazione: (2020)

Reengineering, Simulation and Data Analysis of an RFID System
di: Eleonora Bottani
Pubblicazione: (2008)

Intuitionistic Fuzzy Position Embedding Transformer for Motion Artefact Correction in Chemical Exchange Saturation Transfer MRI Series
di: Bowei Chen, et al.
Pubblicazione: (2025)

Automated Segmentation of Brain Gliomas in Multimodal MRI Data
di: Changxiong Xie, et al.
Pubblicazione: (2024)

Unsupervised anomaly detection using Bayesian flow networks: application to brain FDG PET in the context of Alzheimer's disease
di: Roy, Hugues, et al.
Pubblicazione: (2025)

Predicting Hypoxia in Brain Tumors from Multiparametric MRI
di: Perlo, Daniele, et al.
Pubblicazione: (2024)

Contribution of MRI for the Early Diagnosis of Parkinsonism in Patients with Diagnostic Uncertainty
di: Lydia Chougar, et al.
Pubblicazione: (2024)

Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)
di: Liu, Hengjie, et al.
Pubblicazione: (2026)

Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
di: Galati, Francesco, et al.
Pubblicazione: (2025)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
di: Vajiram, Jayanthi, et al.
Pubblicazione: (2024)

Saturation‐Transfer‐Based MRI of the Brain in Multiple Sclerosis Patients at 3T
di: Ziyan Wang, et al.
Pubblicazione: (2026)

Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM)
di: Zeng, Qi, et al.
Pubblicazione: (2026)

GiriNeoMRI Brain™
di: Gupta, Girish
Pubblicazione: (2026)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation
di: Daniali, Maryam, et al.
Pubblicazione: (2025)

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
di: Pandey, Sumit, et al.
Pubblicazione: (2024)

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
di: d'Ascoli, Stéphane, et al.
Pubblicazione: (2025)

An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
di: Bagheri, Mahdi, et al.
Pubblicazione: (2025)

Editorial for “Saturation‐Transfer‐Based MRI of the Brain in Multiple Sclerosis Patients at 3 T ”
di: Grace McIlvain, et al.
Pubblicazione: (2025)

Mitigating the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection
di: Senellart, Agathe, et al.
Pubblicazione: (2026)

O conceito de política posto à prova pela mundialização
di: Catherine Colliot-Thélène
Pubblicazione: (1999)

Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis
di: Chen, Chacha, et al.
Pubblicazione: (2025)

Evaluating the Quality of Brain MRI Generators
di: Wu, Jiaqi, et al.
Pubblicazione: (2024)

Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI
di: Yu, Tian, et al.
Pubblicazione: (2024)

Validation of daily 0.35 T diffusion‐weighted MRI for MRI‐guided glioblastoma radiotherapy
di: Natalia Lutsik, et al.
Pubblicazione: (2024)

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
di: Christodoulou, Evangelia, et al.
Pubblicazione: (2024)

Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI
di: Kim, Jonghun, et al.
Pubblicazione: (2024)

BVI-Artefact: An Artefact Detection Benchmark Dataset for Streamed Videos
di: Feng, Chen, et al.
Pubblicazione: (2023)

A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
di: Pham, William, et al.
Pubblicazione: (2024)

Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
di: Cicimen, Alp G., et al.
Pubblicazione: (2024)

Brain Tumor Classification from MRI Scans via Transfer Learning and Enhanced Feature Representation
di: Emran, Ahta-Shamul Hoque, et al.
Pubblicazione: (2025)

AutoRG-Brain: Grounded Report Generation for Brain MRI
di: Lei, Jiayu, et al.
Pubblicazione: (2024)

MOCCA: A Fast Algorithm for Parallel MRI Reconstruction Using Model Based Coil Calibration
di: Plonka, Gerlind, et al.
Pubblicazione: (2024)

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
di: Yavari, Sara, et al.
Pubblicazione: (2025)

MRI Brain Tumor Detection with Computer Vision
di: Krolik, Jack, et al.
Pubblicazione: (2025)

Towards Generalisable Foundation Models for Brain MRI
di: Mazher, Moona, et al.
Pubblicazione: (2025)

A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation
di: Galati, Francesco, et al.
Pubblicazione: (2023)

Tissue humidity and pH as important species traits regulating tree methane emissions in floodplain wetland forests
di: Marie‐Ange Moisan, et al.
Pubblicazione: (2025)