Image de couverture de livre

Semi‐supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound

Fuente: Wiley Open Access

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zachary Szentimrey, Abdullah Al‐Hayali, Sandrine de Ribaupierre, Aaron Fenster, Eranga Ukwatta
Format:	Artículo Open Access
Publié:	Wiley 2024
Sujets:	Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A novel federated learning framework for medical imaging: Resource‐efficient approach combining PCA with early stopping
par: Negin Piran Nanekaran, et autres
Publié: (2025)

Three‐dimensional complementary breast ultrasound (3D CBUS): Improving 3D spatial resolution uniformity with orthogonal images
par: Claire Keun Sun Park, et autres
Publié: (2025)

Semi‐supervised abdominal multi‐organ segmentation by object‐redrawing
par: Min Jeong Cho, et autres
Publié: (2024)

Unsupervised shape‐and‐texture‐based generative adversarial tuning of pre‐trained networks for carotid segmentation from 3D ultrasound images
par: Zhaozheng Chen, et autres
Publié: (2024)

A segment anything model‐guided and match‐based semi‐supervised segmentation framework for medical imaging
par: Guoping Xu, et autres
Publié: (2025)

Semi-supervised learning towards automated segmentation of PET images with limited annotations: Application to lymphoma patients
par: Yousefirizi, Fereshteh, et autres
Publié: (2022)

Personalized echocardiographic segmentation via bidirectional encoder representations from transformers Y‐shaped network with patient attributes
par: Jiahui Dong, et autres
Publié: (2025)

Semi‐supervised cine cardiac MRI segmentation via joint registration and temporal attention perceiver
par: Yingqi Qin, et autres
Publié: (2025)

Correction to “Cross‐scan fusion network: A registration‐based framework for annotation‐efficient 3D ultrasound segmentation in low back pain assessment”
Publié: (2026)

Semi‐supervised medical image segmentation based on dual swap data mixing and cross EMA strategies
par: Licheng Zheng, et autres
Publié: (2025)

Triple collaborative consistency with Mamba for semi‐supervised 3D medical image segmentation
par: Yufei Gao, et autres
Publié: (2026)

Enhanced IDOL segmentation framework using personalized hyperspace learning IDOL
par: Byong Su Choi, et autres
Publié: (2024)

Self‐supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
par: Jue Jiang, et autres
Publié: (2024)

Learning anatomy from unlabelled CT volumes: A self‐supervised framework for improving prostate radiotherapy segmentation
par: Diyana Afrina Hizam, et autres
Publié: (2026)

ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities
par: Saha, Puja, et autres
Publié: (2026)

SpineMAE: A bone‐window self‐supervised and structure‐aware framework for 3D cervical vertebra segmentation and fracture classification
par: Qing Liang, et autres
Publié: (2026)

Dual branch segment anything model‐transformer fusion network for accurate breast ultrasound image segmentation
par: Yu Li, et autres
Publié: (2025)

Optimization of array encoding for ultrasound imaging
par: Spainhour, Jacob, et autres
Publié: (2024)

Advancing cardiac MRI multi‐structure segmentation: A semi‐supervised multidimensional consistency constraint learning network
par: Hongzhen Cui, et autres
Publié: (2025)

An attention mechanism‐based lightweight UNet for musculoskeletal ultrasound image segmentation
par: Yan Zhang, et autres
Publié: (2024)

Topology‐preserving segmentation of abdominal muscle layers from ultrasound images
par: Feiyang Liao, et autres
Publié: (2024)

Performance benchmarking of deep learning models for real‐time median nerve segmentation and cross‐sectional area measurement in ultrasound imaging
par: Vaddadi Venkatesh, et autres
Publié: (2026)

EBC‐Net: 3D semi‐supervised segmentation of pancreas based on edge‐biased consistency regularization in dual perturbation space
par: Zheng Li, et autres
Publié: (2024)

Prototype bank‐driven test‐time adaptation for medical ultrasound image segmentation
par: Wenhan Wang, et autres
Publié: (2026)

Hybrid receptive field U‐Net for lesion segmentation in breast ultrasound images
par: Zhengbo Xue, et autres
Publié: (2026)

Multilevel perception boundary‐guided network for breast lesion segmentation in ultrasound images
par: Xing Yang, et autres
Publié: (2025)

High‐level feature‐guided attention optimized neural network for neonatal lateral ventricular dilatation prediction
par: Yulin Peng, et autres
Publié: (2024)

Enhanced multi‐scale selective attention U‐net for breast ultrasound image segmentation
par: Peng Wang, et autres
Publié: (2025)

Automatic calculation method for stenosis ratio based on dialysis access ultrasound image segmentation
par: Fengxin Shi, et autres
Publié: (2024)

CBCT projection domain metal segmentation for metal artifact reduction using hessian‐inspired dual‐encoding network with guidance from segment anything model
par: Chen Jiang, et autres
Publié: (2025)

Multi‐scale consistent self‐training network for semi‐supervised orbital tumor segmentation
par: Keyi Wang, et autres
Publié: (2024)

Impact of wavefront shape on nonlinear ultrasound imaging of monodisperse microbubbles
par: Matalliotakis, Agisilaos, et autres
Publié: (2024)

Improving realism in abdominal ultrasound simulation combining a segmentation‐guided loss and polar coordinates training
par: Santiago Vitale, et autres
Publié: (2025)

Masked pre‐training and pseudo‐vessel enhancement‐based semi‐supervised cerebral vascular segmentation
par: Shuai Wang, et autres
Publié: (2026)

Co‐training semi‐supervised medical image segmentation based on pseudo‐label weight balancing
par: Jiashi Zhao, et autres
Publié: (2025)

Uncertainty‐guided multitask semi‐supervised network for the multi‐organ segmentation of breast cancer CBCT
par: Zi‐Yi Wang, et autres
Publié: (2025)

Dual‐branch Transformer for semi‐supervised medical image segmentation
par: Xiaojie Huang, et autres
Publié: (2024)

A preliminary study of a hybrid transformer with enhanced local feature fusion for nuchal translucency ultrasound image segmentation
par: Shuang Wang, et autres
Publié: (2026)

Inference‐specific learning for improved medical image segmentation
par: Yizheng Chen, et autres
Publié: (2025)

Deep learning models for separate segmentations of intracerebral and intraventricular hemorrhage on head CT and segmentation quality assessment
par: Yifan Li, et autres
Publié: (2024)