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Found 5 papers, 2 papers with code
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
In the pursuit to understand the intricacies of human brain's visual processing, reconstructing dynamic visual experiences from brain activities emerges as a challenging yet fascinating endeavor.
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
The second phase tunes the feature learner to attend to neural activation patterns most informative for visual reconstruction with guidance from an image auto-encoder.
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Brain Visual Reconstruction from fMRI
on GOD
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
In this work, we present MinD-Vis: Sparse Masked Brain Modeling with Double-Conditioned Latent Diffusion Model for Human Vision Decoding.
A Wearable ECG Monitor for Deep Learning Based Real-Time Cardiovascular Disease Detection
Cardiovascular disease has become one of the most significant threats endangering human life and health.
Negative-ResNet: Noisy Ambulatory Electrocardiogram Signal Classification Scheme
With recently successful applications of deep learning in computer vision and general signal processing, deep learning has shown many unique advantages in medical signal processing.
