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   Articles with "denoising diffusion" as a keyword



Self‐supervised denoising diffusion probabilistic models for abdominal DW‐MRI

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recommendations! Published in 2025 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.30536

Abstract: To improve the quality of abdominal diffusion‐weighted MR images (DW‐MRI) when acquired using single‐repetition (NEX = 1) protocols, and thereby increase apparent diffusion coefficient (ADC) map accuracy and lesion conspicuity at high b‐values. We aim… read more here.

Keywords: probabilistic models; self supervised; diffusion probabilistic; supervised denoising ... See more keywords

Deep Generative Replay With Denoising Diffusion Probabilistic Models for Continual Learning in Audio Classification

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3459954

Abstract: Accurate classification of audio data is essential in various fields such as speech recognition, safety management, healthcare, security, and surveillance. However, existing deep learning classifiers typically require extensive pre-collected data and struggle to adapt to… read more here.

Keywords: continual learning; probabilistic models; diffusion probabilistic; denoising diffusion ... See more keywords

D-DDPM: Deep Denoising Diffusion Probabilistic Models for Lesion Segmentation and Data Generation in Ultrasound Imaging

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3548128

Abstract: The Denoising Diffusion Probabilistic Model (DDPM) has gained significant attention for its powerful image generation and segmentation capabilities, particularly in biomedical applications where accuracy is critical. In breast cancer detection, ultrasound imaging is widely used… read more here.

Keywords: segmentation; ddpm; diffusion probabilistic; denoising diffusion ... See more keywords

A Denoising Diffusion Probabilistic Model-Based Digital Twinning of ISAC MIMO Channel

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3495212

Abstract: Deep learning (DL) techniques have been extensively utilized to tackle challenges in the field of wireless communication, overcoming the limitations of traditional methods. However, training DL algorithms often requires large amounts of data, which is… read more here.

Keywords: diffusion probabilistic; probabilistic model; based digital; mimo channel ... See more keywords

SAR Despeckling Using a Denoising Diffusion Probabilistic Model

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2023.3270799

Abstract: Speckle is a type of multiplicative noise that affects all coherent imaging modalities including synthetic aperture radar (SAR) images. The presence of speckle degrades the image quality and can adversely affect the performance of SAR… read more here.

Keywords: noise; diffusion probabilistic; denoising diffusion; probabilistic model ... See more keywords

Enhancing MIMO Channel Estimation: A Denoising Diffusion Approach

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recommendations! Published in 2025 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2025.3590800

Abstract: As accurate channel state information (CSI) is essential for unlocking the full potential of Multiple-Input Multiple-Output (MIMO) architectures, which are foundational to modern wireless communication systems, channel estimation (CE) becomes an important task. While traditional… read more here.

Keywords: enhancing mimo; mimo channel; estimation; denoising diffusion ... See more keywords

Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks

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recommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"

DOI: 10.1109/tccn.2025.3529879

Abstract: The increasing demand for high-speed and reliable wireless networks has driven advancements in technologies such as millimeter-wave and 5G radios, which requires efficient planning and timely deployment of wireless access points. A critical tool in… read more here.

Keywords: diffusion probabilistic; radio map; radio; wireless networks ... See more keywords

DDFSRM: Denoising Diffusion Fusion Model for Line-Scanning Super-Resolution

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recommendations! Published in 2024 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2024.3458468

Abstract: Line-scanning super-resolution (LSSR) provides a new way to improve the spatial resolution of images. To further improve its super-resolution (SR) performance boosted by deep learning, a new denoising diffusion fusion super-resolution model (DDFSRM) is proposed… read more here.

Keywords: fusion; resolution; model; denoising diffusion ... See more keywords

Self-Calibration Flow Guided Denoising Diffusion Model for Human Pose Transfer

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recommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3382948

Abstract: The human pose transfer task aims to generate synthetic person images that preserve the style of reference images while accurately aligning them with the desired target pose. However, existing methods based on generative adversarial networks… read more here.

Keywords: human pose; pose transfer; self calibration; denoising diffusion ... See more keywords

A Robust Defect Detection Method for Catenary Components Based on Structure-Guided Denoising Diffusion Model

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3545883

Abstract: Ensuring the safety of railway operation requires accurate inspection of catenary components. Due to the lack of sufficient defective samples in practice, image reconstruction error-based methods have been developed for catenary inspection. However, these methods… read more here.

Keywords: detection; image; diffusion model; catenary components ... See more keywords

TAMHA-DDPM: A Time-Aware Multi-Head Attention Denoising Diffusion Probability Model for Fuzzy Data Optimization in Intelligent Transportation Systems

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recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2024.3516761

Abstract: In the planning and decision making of transport systems, data relationships are complex and the eigenvalues of data samples may contain errors, resulting in traffic fuzzy data. Traffic fuzzy data has seriously affected the model… read more here.

Keywords: time aware; attention; denoising diffusion; model ... See more keywords