Self‐supervised denoising diffusion probabilistic models for abdominal DW‐MRI
Sign Up to like & getrecommendations! 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
Diffusion probabilistic model for Tibetan painted sketch extraction
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-07638-7
Abstract: During the process of Tibetan painting, the same sketch can be used to create different types of artwork. However, for each type, the artist must meticulously redraw an identical sketch. Crafting a complex sketch demands… read more here.
Keywords: tibetan; sketch extraction; diffusion probabilistic; tibetan painting ... See more keywords
Deep Generative Replay With Denoising Diffusion Probabilistic Models for Continual Learning in Audio Classification
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
4DPM: Deepfake Detection With a Denoising Diffusion Probabilistic Mask
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3378127
Abstract: In the face of increasingly realistic fake human faces, research on enhancing the differences between real and fake images is valuable for improving the generalization capabilities of fake face detection models. In this letter, we… read more here.
Keywords: detection; probabilistic mask; diffusion probabilistic; face ... See more keywords
Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks
Sign Up to like & getrecommendations! 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