Copertina

An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Mahmoud Mostapha, Gregor Koerzdoerfer, Esther Raithel, Nirmal Janardhanan, Mariappan S. Nadar, Yannik Leonhardt, Jan Vosshenrich, Mary Bruno, Jan Fritz
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

Scale-Cascaded Diffusion Models for Super-Resolution in Medical Imaging
di: Thaker, Darshan, et al.
Pubblicazione: (2026)

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images
di: Roy, Saikat, et al.
Pubblicazione: (2025)

Benchmarking 3D multi-coil NC-PDNet MRI reconstruction
di: Tanabene, Asma, et al.
Pubblicazione: (2024)

Three-dimensional end-to-end deep learning for brain MRI analysis
di: Juglan, Radhika, et al.
Pubblicazione: (2025)

SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction
di: Dong, Minghao, et al.
Pubblicazione: (2025)

End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
di: Yiasemis, George, et al.
Pubblicazione: (2024)

Implicit neural representations for end-to-end PET reconstruction
di: Moussaoui, Younès, et al.
Pubblicazione: (2025)

End-to-end event reconstruction for precision physics at future colliders
di: Garcia, Dolores, et al.
Pubblicazione: (2026)

Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
di: Yiasemis, George, et al.
Pubblicazione: (2024)

MigrateLib: a tool for end-to-end Python library migration
di: Islam, Mohayeminul, et al.
Pubblicazione: (2025)

Memory-efficient deep end-to-end posterior network (DEEPEN) for inverse problems
di: Chand, Jyothi Rikhab, et al.
Pubblicazione: (2024)

Integrated photonic deep neural network with end-to-end on-chip backpropagation training
di: Ashtiani, Farshid, et al.
Pubblicazione: (2025)

Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes
di: Frei, Johann, et al.
Pubblicazione: (2025)

Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction
di: Jing Cheng, et al.
Pubblicazione: (2024)

A representation theorem for end spaces of infinite graphs
di: Kurkofka, Jan, et al.
Pubblicazione: (2021)

Make Lemonade: How to Sweeten Your School's Climate for Reading.
di: Leonhardt, Mary
Pubblicazione: (1998)

Relativistic models of structure formation with stable end-state configuration
di: Ostrowski, Jan J.
Pubblicazione: (2025)

Efficient and provably convergent end-to-end training of deep neural networks with linear constraints
di: Yang, Zonglin, et al.
Pubblicazione: (2026)

CoLLM: AI engineering toolbox for end-to-end deep learning in collider analyses
di: Esmail, W., et al.
Pubblicazione: (2026)

The end into the beginning: Prolepsis and the reconstruction of the collective past
di: Brescó, Ignacio
Pubblicazione: (2017)

Miniaturized spectrometer enabled by end-to-end deep learning on large-scale radiative cavity array
di: Zhou, Xinyi, et al.
Pubblicazione: (2024)

On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach
di: Schwan, Roland, et al.
Pubblicazione: (2024)

CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method
di: Ponomarchuk, Alexander, et al.
Pubblicazione: (2024)

Experimental end-to-end demonstration of intersatellite absolute ranging for LISA
di: Yamamoto, Kohei, et al.
Pubblicazione: (2024)

RLCNet: An end-to-end deep learning framework for simultaneous online calibration of LiDAR, RADAR, and Camera
di: Cholakkal, Hafeez Husain, et al.
Pubblicazione: (2025)

SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis
di: Raj, Ritik, et al.
Pubblicazione: (2025)

Downcore distributions of end members of the 4-end-member model and the downcore XRF data of sediment core MD03-2607
di: Stuut, Jan-Berend W, et al.
Pubblicazione: (2025)

Particle size analysis and end-member modelling of sediment core GeoB6008-2
di: McGregor, Helen V, et al.
Pubblicazione: (2009)

Particle size analysis and end-member modelling of sediment core GeoB6008-1
di: McGregor, Helen V, et al.
Pubblicazione: (2009)

Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction
di: Comby, Pierre-Antoine, et al.
Pubblicazione: (2024)

PI2: End-to-end Interactive Visualization Interface Generation from Queries
di: Chen, Yiru, et al.
Pubblicazione: (2021)

End-to-end deep learning for superoscillatory subtraction imaging
di: Jin, Zhongwei, et al.
Pubblicazione: (2025)

The Paradox of Progress: Massification, Pedagogy, and the Consequence of Free Education in Ghana
di: Umang, Mostapha
Pubblicazione: (2026)

THUGEE AS COUNTER-NARRATIVE: RESISTANCE AND SUBVERSION IN P SACHIDANANDANS THE BOOK OF DESTRUCTION
di: Prathyaksh Janardhanan
Pubblicazione: (2025)

A smooth Gaussian-Kronecker diffeomorphism
di: Benhenda, Mostapha
Pubblicazione: (2025)

Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance
di: Benhenda, Mostapha
Pubblicazione: (2026)

YC Bench: a Live Benchmark for Forecasting Startup Outperformance in Y Combinator Batches
di: Benhenda, Mostapha
Pubblicazione: (2026)

Smooth Pseudo-Rotations Measure-Theoretically Isomorphic to Circle Rotations of Rationally Independent Angle
di: Benhenda, Mostapha
Pubblicazione: (2026)

Nondisjunction and chromosomal anomalies
di: Mostapha Ahmad
Pubblicazione: (2010)

FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents
di: Benhenda, Mostapha
Pubblicazione: (2025)