Cover Image

FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alasmawi, Hussain, Bricker, Leanne, Yaqub, Mohammad
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
by: Benjamin, Joseph Geo, et al.
Published: (2024)

FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound
by: Alasmawi, Hussain, et al.
Published: (2025)

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
by: Maani, Fadillah, et al.
Published: (2025)

Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III
by: Alasmawi, Hussain
Published: (2026)

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
by: Cengiz, Sevim, et al.
Published: (2025)

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
by: He, Dongli, et al.
Published: (2025)

DARK: Diagonal-Anchored Repulsive Knowledge Distillation for Vision-Language Models under Extreme Compression
by: Saeed, Numan, et al.
Published: (2026)

SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast
by: Saeed, Numan, et al.
Published: (2024)

Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning
by: Megahed, Youssef, et al.
Published: (2025)

TPA: Temporal Prompt Alignment for Fetal Congenital Heart Defect Classification
by: Taratynova, Darya, et al.
Published: (2025)

Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos
by: Bai, Jieyun, et al.
Published: (2026)

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
by: Huang, Lijie, et al.
Published: (2025)

Deep Learning-Based Automated Segmentation of Uterine Myomas
by: Saleem, Tausifa Jan, et al.
Published: (2025)

SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
by: Maani, Fadillah, et al.
Published: (2023)

DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation
by: Rahman, Umaima, et al.
Published: (2025)

Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
by: Hashmi, Anees Ur Rehman, et al.
Published: (2024)

Deep Learning for Semantic Segmentation of 3D Ultrasound Data
by: Liu, Chenyu, et al.
Published: (2026)

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
by: Prochii, Rinat, et al.
Published: (2025)

PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking
by: Lv, Meng, et al.
Published: (2026)

Self Supervised Deep Learning for Robot Grasping
by: Saqib, Danyal, et al.
Published: (2024)

Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos
by: Qian, Rui, et al.
Published: (2023)

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models
by: Monon, Mashrafi, et al.
Published: (2026)

AquaCluster: Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation
by: Iakovidis, Ioannis, et al.
Published: (2025)

Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
by: Men, Qianhui, et al.
Published: (2024)

Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness
by: Hamoud, Idris, et al.
Published: (2024)

MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
by: Guo, Xiaoqing, et al.
Published: (2024)

MMRINet: Efficient Mamba-Based Segmentation with Dual-Path Refinement for Low-Resource MRI Analysis
by: Elsayed, Abdelrahman, et al.
Published: (2025)

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
by: Imam, Raza, et al.
Published: (2025)

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
by: Wang, Chengyao, et al.
Published: (2024)

USFetal: Tools for Fetal Brain Ultrasound Compounding
by: Khateri, Mohammad, et al.
Published: (2026)

Towards Objective Obstetric Ultrasound Assessment: Contrastive Representation Learning for Fetal Movement Detection
by: Ilyas, Talha, et al.
Published: (2025)

Determining Fetal Orientations From Blind Sweep Ultrasound Video
by: Wiśniewski, Jakub Maciej, et al.
Published: (2025)

Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning
by: Pan, Tan, et al.
Published: (2025)

Image Retrieval with Intra-Sweep Representation Learning for Neck Ultrasound Scanning Guidance
by: Chen, Wanwen, et al.
Published: (2024)

SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
by: Zohaib, Mohammad, et al.
Published: (2024)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
by: Sivasubramanian, Arrun, et al.
Published: (2024)

Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal
by: Zeng, Ziqi, et al.
Published: (2024)

Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
by: Zha, Yixin, et al.
Published: (2025)

StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection
by: Mamun, Abdullah Al, et al.
Published: (2025)

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images
by: Qazi, Mohammad Areeb, et al.
Published: (2024)