Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning
Fuente:
arXiv
Saved in:
| Main Authors: | Megahed, Youssef, Ducharme, Robin, Lee, Inok, Willner, Inbal, Chan, Adrian D. C., Walker, Mark, Hawken, Steven |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
by: Megahed, Youssef, et al.
Published: (2026)
by: Megahed, Youssef, et al.
Published: (2026)
Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
Label-free segmentation from cardiac ultrasound using self-supervised learning
by: Ferreira, Danielle L., et al.
Published: (2022)
by: Ferreira, Danielle L., et al.
Published: (2022)
Semise: Semi-supervised learning for severity representation in medical image
by: Tran, Dung T., et al.
Published: (2025)
by: Tran, Dung T., et al.
Published: (2025)
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations
by: Wang, Ting, et al.
Published: (2024)
by: Wang, Ting, et al.
Published: (2024)
Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease
by: Megahed, Youssef, et al.
Published: (2024)
by: Megahed, Youssef, et al.
Published: (2024)
Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)
by: Wang, Shanshan, et al.
Published: (2024)
A generalizable 3D framework and model for self-supervised learning in medical imaging
by: Xu, Tony, et al.
Published: (2025)
by: Xu, Tony, et al.
Published: (2025)
Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains
by: Trombetta, Robin, et al.
Published: (2024)
by: Trombetta, Robin, et al.
Published: (2024)
Efficient onboard multi-task AI architecture based on self-supervised learning
by: Inzerillo, Gabriele, et al.
Published: (2024)
by: Inzerillo, Gabriele, et al.
Published: (2024)
NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines
by: Ahonen, Jukka I., et al.
Published: (2024)
by: Ahonen, Jukka I., et al.
Published: (2024)
A self-supervised CNN for image watermark removal
by: Tian, Chunwei, et al.
Published: (2024)
by: Tian, Chunwei, et al.
Published: (2024)
Self-supervised feature learning for cardiac Cine MR image reconstruction
by: Xu, Siying, et al.
Published: (2025)
by: Xu, Siying, et al.
Published: (2025)
Resolving quantitative MRI model degeneracy in self-supervised machine learning
by: Minore, Giulio V., et al.
Published: (2025)
by: Minore, Giulio V., et al.
Published: (2025)
An OpenMind for 3D medical vision self-supervised learning
by: Wald, Tassilo, et al.
Published: (2024)
by: Wald, Tassilo, et al.
Published: (2024)
Enhancing image quality prediction with self-supervised visual masking
by: Çoğalan, Uğur, et al.
Published: (2023)
by: Çoğalan, Uğur, et al.
Published: (2023)
A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
by: Cerri, Stefano, et al.
Published: (2025)
by: Cerri, Stefano, et al.
Published: (2025)
Perinatal outcomes of resolved fetal cystic hygromas
by: Emma E. H. Peek, et al.
Published: (2025)
by: Emma E. H. Peek, et al.
Published: (2025)
Single-image reflection removal via self-supervised diffusion models
by: Lu, Zhengyang, et al.
Published: (2024)
by: Lu, Zhengyang, et al.
Published: (2024)
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation
by: Lin, Emily, et al.
Published: (2021)
by: Lin, Emily, et al.
Published: (2021)
End-to-end optimization of sparse ultrasound linear probes
by: Urrea, Sergio, et al.
Published: (2026)
by: Urrea, Sergio, et al.
Published: (2026)
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices
by: Zeng, Hongye, et al.
Published: (2024)
by: Zeng, Hongye, et al.
Published: (2024)
Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits
by: Kang, Iksung, et al.
Published: (2023)
by: Kang, Iksung, et al.
Published: (2023)
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
by: Li, Peichao, et al.
Published: (2024)
by: Li, Peichao, et al.
Published: (2024)
Navigated hepatic tumor resection using intraoperative ultrasound imaging
by: Olthof, Karin, et al.
Published: (2025)
by: Olthof, Karin, et al.
Published: (2025)
Investigation of unsupervised and supervised hyperspectral anomaly detection
by: Hossain, Mazharul, et al.
Published: (2024)
by: Hossain, Mazharul, et al.
Published: (2024)
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasounds
by: Cheng, Li-Hsin, et al.
Published: (2021)
by: Cheng, Li-Hsin, et al.
Published: (2021)
An unsupervised learning-based shear wave tracking method for ultrasound elastography
by: Delaunay, Remi, et al.
Published: (2024)
by: Delaunay, Remi, et al.
Published: (2024)
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
by: Huang, Hejun, et al.
Published: (2024)
by: Huang, Hejun, et al.
Published: (2024)
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
by: Jiang, Jue, et al.
Published: (2024)
by: Jiang, Jue, et al.
Published: (2024)
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images
by: D'Amato, Marina, et al.
Published: (2025)
by: D'Amato, Marina, et al.
Published: (2025)
Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
by: Yousefirizi, Fereshteh, et al.
Published: (2022)
by: Yousefirizi, Fereshteh, et al.
Published: (2022)
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs
by: Muzeau, Max, et al.
Published: (2024)
by: Muzeau, Max, et al.
Published: (2024)
A multi-stage semi-supervised learning for ankle fracture classification on CT images
by: Liu, Hongzhi, et al.
Published: (2024)
by: Liu, Hongzhi, et al.
Published: (2024)
Rician likelihood loss for quantitative MRI using self-supervised deep learning
by: Parker, Christopher S., et al.
Published: (2023)
by: Parker, Christopher S., et al.
Published: (2023)
Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
by: Szűcs, Ádám István, et al.
Published: (2024)
by: Szűcs, Ádám István, et al.
Published: (2024)
Similar Items
-
Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification
by: Megahed, Youssef, et al.
Published: (2026) -
Self-Supervised Ultrasound Representation Learning for Renal Anomaly Prediction in Prenatal Imaging
by: Megahed, Youssef, et al.
Published: (2025) -
USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
by: Megahed, Youssef, et al.
Published: (2025) -
Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning
by: Megahed, Youssef, et al.
Published: (2025) -
Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
by: Megahed, Youssef, et al.
Published: (2025)