Search Results for author:
Found 5 papers, 1 papers with code
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Data augmentation is an intuitive way to solve this problem.
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
We evaluate our setup by classifying different spatiotemporal-decorrelating patterns hidden beneath a 5mm tissue-like phantom made with rapidly decorrelating dynamic scattering media.
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity.
Imaging dynamics beneath turbid media via parallelized single-photon detection
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task.
Mesoscopic photogrammetry with an unstabilized phone camera
We present a feature-free photogrammetric technique that enables quantitative 3D mesoscopic (mm-scale height variation) imaging with tens-of-micron accuracy from sequences of images acquired by a smartphone at close range (several cm) under freehand motion without additional hardware.
