New image sensor breaks optical limits

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...

Single-image method can accurately evaluate fibrous material porosity

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
IEEE

SDSL: Spectral Distance Scaling Loss Pretraining SwinUNETR for 3D Medical Image Segmentation

Abstract: Recent approaches utilizing self-supervised learning with masked image modeling (MIM) have demonstrated great performance. However, applying MIM naively to small datasets results in poor ...
IEEE

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package

Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...