Generative AI for brain image computing and brain network computing: a review
Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to map** the structure and function of the brain …
offer a non-invasive approach to map** the structure and function of the brain …
The role of generative adversarial networks in brain MRI: a sco** review
The performance of artificial intelligence (AI) for brain MRI can improve if enough data are
made available. Generative adversarial networks (GANs) showed a lot of potential to …
made available. Generative adversarial networks (GANs) showed a lot of potential to …
High-resolution image reconstruction with latent diffusion models from human brain activity
Reconstructing visual experiences from human brain activity offers a unique way to
understand how the brain represents the world, and to interpret the connection between …
understand how the brain represents the world, and to interpret the connection between …
Natural scene reconstruction from fMRI signals using generative latent diffusion
In neural decoding research, one of the most intriguing topics is the reconstruction of
perceived natural images based on fMRI signals. Previous studies have succeeded in re …
perceived natural images based on fMRI signals. Previous studies have succeeded in re …
Mind reader: Reconstructing complex images from brain activities
Understanding how the brain encodes external stimuli and how these stimuli can be
decoded from the measured brain activities are long-standing and challenging questions in …
decoded from the measured brain activities are long-standing and challenging questions in …
Reconstruction of perceived images from fmri patterns and semantic brain exploration using instance-conditioned gans
Reconstructing perceived natural images from fMRI signals is one of the most engaging
topics of neural decoding research. Prior studies had success in reconstructing either the …
topics of neural decoding research. Prior studies had success in reconstructing either the …
Contrast, attend and diffuse to decode high-resolution images from brain activities
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance
Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and …
Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and …
[HTML][HTML] Self-supervised natural image reconstruction and large-scale semantic classification from brain activity
Reconstructing natural images and decoding their semantic category from fMRI brain
recordings is challenging. Acquiring sufficient pairs of images and their corresponding fMRI …
recordings is challenging. Acquiring sufficient pairs of images and their corresponding fMRI …
Unibrain: Unify image reconstruction and captioning all in one diffusion model from human brain activity
W Mai, Z Zhang - arxiv preprint arxiv:2308.07428, 2023 - arxiv.org
Image reconstruction and captioning from brain activity evoked by visual stimuli allow
researchers to further understand the connection between the human brain and the visual …
researchers to further understand the connection between the human brain and the visual …
Minddiffuser: Controlled image reconstruction from human brain activity with semantic and structural diffusion
Reconstructing visual stimuli from brain recordings has been a meaningful and challenging
task. Especially, the achievement of precise and controllable image reconstruction bears …
task. Especially, the achievement of precise and controllable image reconstruction bears …