Cover Image

Real-time MRI-based fetal femur length measurement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barcsay, Johannes, Silva, Sara Neves, Verdera, Jordina Aviles, Bradshaw, Charline, Rutherford, Mary, Schulz-Heise, Susanne, Hutter, Jana
Format:	Preprint
Published:	2025
Subjects:	Medical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Real-time fetAl brain and placental T2* mapping at 0.55T low-field MRI (RAT)
by: Verdera, Jordina Aviles, et al.
Published: (2024)

Fully automated planning for anatomical fetal brain MRI on 0.55T
by: Silva, Sara Neves, et al.
Published: (2024)

Scanner-based real-time automated volumetry reporting of the fetus, amniotic fluid, placenta and umbilical cord for fetal MRI at 0.55T
by: Silva, Sara Neves, et al.
Published: (2025)

AutOmatic floW planning for fetaL MRI (OWL)
by: Silva, Sara Neves, et al.
Published: (2024)

Real‐time fetal brain and placental T2* mapping at 0.55T MRI
by: Jordina Aviles Verdera, et al.
Published: (2025)

T2* relaxometry of fetal brain structures using low‐field (0.55T) MRI
by: Kelly Payette, et al.
Published: (2024)

Characterizing T1 in the fetal brain and placenta over gestational age at 0.55T
by: Jordina Aviles Verdera, et al.
Published: (2024)

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
by: Fajardo-Rojas, Diego, et al.
Published: (2025)

Scanner‐based real‐time automated volumetry reporting of the fetus, amniotic fluid, placenta, and umbilical cord for fetal MRI at 0.55T
by: Sara Neves Silva, et al.
Published: (2025)

Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data
by: Zalevskyi, Vladyslav, et al.
Published: (2024)

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg
by: Shang, Ziyao, et al.
Published: (2025)

T2*‐Relaxometry MRI to Assess Third Trimester Placental and Fetal Brain Oxygenation and Placental Characteristics in Healthy Fetuses and Fetuses With Congenital Heart Disease
by: Daniel Cromb, et al.
Published: (2024)

Real-time, inline quantitative MRI enabled by scanner-integrated machine learning: a proof of principle with NODDI
by: Rot, Samuel, et al.
Published: (2025)

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

Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
by: Arttu Ruohola, et al.
Published: (2025)

Fast MRI of bones in the knee -- An AI-driven reconstruction approach for adiabatic inversion recovery prepared ultra-short echo time sequences
by: Nunn, Philipp Hans, et al.
Published: (2025)

SIREM: Speech-Informed MRI Reconstruction with Learned Sampling
by: Hasan, Md, et al.
Published: (2026)

Machine‐learning‐based prediction of respiratory flow and lung volume from real‐time cardiac MRI using MR‐compatible spirometry
by: Halima Malik, et al.
Published: (2025)

TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy
by: Wang, Yiling, et al.
Published: (2025)

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

Model‐based perfusion reconstruction with time separation technique in cone‐beam CT dynamic liver perfusion imaging
by: Hana Haseljić, et al.
Published: (2025)

Harmonic‐mapping‐based design of gradient coils on irregular MRI surfaces
by: Zhengrong Liu, et al.
Published: (2026)

Diffeomorphic transformer‐based abdomen MRI‐CT deformable image registration
by: Yang Lei, et al.
Published: (2024)

An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI
by: Mahmoud Mostapha, et al.
Published: (2025)

High-resolution ultra-low-field MRI with SNRAware denoising
by: Guallart-Naval, Teresa, et al.
Published: (2026)

On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
by: Waddington, David E. J., et al.
Published: (2022)

Singular value decomposition based under‐sampling pattern optimization for MRI reconstruction
by: Xinglong Liang, et al.
Published: (2025)

Personalized modeling for in vivo multimodal thermal therapy planning based on preoperative MRI
by: Qizheng Dai, et al.
Published: (2025)

Transformer‐ and joint learning‐based dual‐domain networks for undersampled MRI segmentation
by: Jizhong Duan, et al.
Published: (2024)

Prediction of VMAT gamma passing rates using 3D CNNs based on leaf position analysis and gradient class activation mapping for plan complexity evaluation
by: Johannes Berchtold, et al.
Published: (2026)

Response to the ASHM 2023 statement on the use of doxy‐PEP in Australia: considerations and recommendations
by: Sara F E Bell, et al.
Published: (2024)

Measuring the time-scale-dependent information flow between maternal and fetal heartbeats during the third trimester
by: Garnier, Nicolas B., et al.
Published: (2025)

Real‐time Cherenkov imaging will make radiation therapy safer
by: Brian W. Pogue, et al.
Published: (2026)

Deep learning‐based severity grading of Meniere's disease using 2D MRI
by: Zheng Wang, et al.
Published: (2026)

Interplay between MRI-based axon diameter and myelination estimates in macaque and human brain
by: Gong, Ting, et al.
Published: (2024)

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

Understanding time–activity curve and time‐integrated activity variations in radiopharmaceutical therapy challenge: Experience and results
by: Oleksandra V. Ivashchenko, et al.
Published: (2025)

Diffusion MRI with double diffusion encoding and variable mixing times disentangles water exchange from intrinsic kurtosis
by: Chakwizira, Arthur, et al.
Published: (2023)

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

PSMA PET/MRI‐based Swin Transformer architecture for Gleason Score prediction in prostate cancer
by: Tianshuo Yang, et al.
Published: (2026)