Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...
University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...
This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...
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