TransUNET-DDPM: A transformer-enhanced diffusion model for subject-specific brain network generation and classification

Generative AI for image synthesis has significantly progressed with the advent of advanced diffusion models. These models have set new benchmarks in creating high-quality and meaningful visual information. In this paper, we introduce TransUNET-DDPM, a novel framework that fuses transformer-based arc...

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Vydáno v:	Computers in biology and medicine Ročník 197; číslo Pt A; s. 110996
Hlavní autoři:	Ajith, Meenu, Calhoun, Vince D.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.10.2025
Témata:	Adult Brain - diagnostic imaging Brain - physiology Data augmentation Diffusion models Female Humans Image Processing, Computer-Assisted - methods Internal Medicine Intrinsic connectivity networks Magnetic Resonance Imaging - methods Male Models, Neurological Models, Statistical Nerve Net - diagnostic imaging Other Schizophrenia classification Transformer architectures Intrinsic connectivity networks Diffusion models Data augmentation Transformer architectures Schizophrenia classification
ISSN:	0010-4825, 1879-0534
On-line přístup:	Získat plný text
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