Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Abstract: Currently, deep learning-based joint source channel coding (JSCC) methods have achieved significant progress in enabling semantic communication. However, existing methods of this type often ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

New research from FIU shows that some visual-language AI models have become particularly susceptible to image-based hacks.

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...