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20242026
most citedNT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis

2 citations · 3 across the 4 of their papers we have counts for

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eess.IV2024★ 2 cited

NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis

Romeo Lanzino, Federico Fontana, Luigi Cinque +2

This paper introduces the Neural Transcoding Vision Transformer (\modelname), a generative model designed to estimate high-resolution functional Magnetic Resonance Imaging (fMRI) s…

cs.CV2024★ 1 cited

ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer

Hiroki Azuma, Yusuke Matsui, Atsuto Maki

Deep learning models achieve high accuracy in segmentation tasks among others, yet domain shift often degrades the models' performance, which can be critical in real-world scenario…