Cover Image

Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Asgariandehkordi, Hojat, Goudarzi, Sobhan, Sharifzadeh, Mostafa, Basarab, Adrian, Rivaz, Hassan
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lightweight Physics-Aware Zero-Shot Ultrasound Plane-Wave Denoising
by: Asgariandehkordi, Hojat, et al.
Published: (2025)

Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach
by: Sharifzadeh, Mostafa, et al.
Published: (2023)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
by: Jiang, Hongxu, et al.
Published: (2024)

Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution
by: Sui, Jialu, et al.
Published: (2024)

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
by: Salari, Soorena, et al.
Published: (2024)

Comparative Analysis of Diffusion Generative Models in Computational Pathology
by: Thakkar, Denisha, et al.
Published: (2024)

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)

CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
by: Salari, Soorena, et al.
Published: (2024)

Denoising Diffusion Models for Anomaly Localization in Medical Images
by: Bercea, Cosmin I., et al.
Published: (2024)

Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
by: Tehrani, Ali K. Z., et al.
Published: (2020)

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
by: Yu, Ruiguo, et al.
Published: (2024)

Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models
by: Bradbury, Rowan, et al.
Published: (2024)

Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
by: Garber, Tomer, et al.
Published: (2023)

Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting
by: Mayo, Perla, et al.
Published: (2024)

Compact Implicit Neural Representations for Plane Wave Images
by: Monvoisin, Mathilde, et al.
Published: (2024)

DenOiS: Dual-Domain Denoising of Observation and Solution in Ultrasound Image Reconstruction
by: Bezek, Can Deniz, et al.
Published: (2026)

Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model
by: Pan, Shaoyan, et al.
Published: (2023)

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

Emulating Clinical Quality Muscle B-mode Ultrasound Images from Plane Wave Images Using a Two-Stage Machine Learning Model
by: Chen, Reed, et al.
Published: (2024)

Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning
by: Qiu, Zirui, et al.
Published: (2024)

Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and Denoising
by: Lyu, Xianqiang, et al.
Published: (2023)

Image Denoising Using Green Channel Prior
by: Kong, Zhaoming, et al.
Published: (2024)

Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models
by: Chen, Tingxiu, et al.
Published: (2025)

Diffusion as Sound Propagation: Physics-inspired Model for Ultrasound Image Generation
by: Domínguez, Marina, et al.
Published: (2024)

Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
by: Wu, Yuli, et al.
Published: (2023)

A Unified Framework for Multimodal Image Reconstruction and Synthesis using Denoising Diffusion Models
by: Gan, Weijie, et al.
Published: (2026)

Denoising Diffusion Post-Processing for Low-Light Image Enhancement
by: Panagiotou, Savvas, et al.
Published: (2023)

Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference
by: Özkan, Aytaç, et al.
Published: (2024)

Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
by: Rasaee, Hamza, et al.
Published: (2021)

Color Image Denoising Using The Green Channel Prior
by: Kong, Zhaoming, et al.
Published: (2024)

Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising
by: Lu, Liying, et al.
Published: (2025)

Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
by: Durrer, Alicia, et al.
Published: (2024)

Efficient Image Denoising Using Global and Local Circulant Representation
by: Kong, Zhaoming, et al.
Published: (2025)

Denoising Low-dose Images Using Deep Learning of Time Series Images
by: Shao, Yang, et al.
Published: (2024)

Longitudinal Lesion Inpainting in Brain MRI via 3D Region Aware Diffusion
by: Karimaghaloo, Zahra, et al.
Published: (2026)

SAR Despeckling via Regional Denoising Diffusion Probabilistic Model
by: Hu, Xuran, et al.
Published: (2024)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
by: Demir, Basar, et al.
Published: (2025)

Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
by: Yilmaz, Rüveyda, et al.
Published: (2024)

FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
by: Duan, Yaofei, et al.
Published: (2025)

Fast Inference in Denoising Diffusion Models via MMD Finetuning
by: Aiello, Emanuele, et al.
Published: (2023)