Pro, a simple and efficient contrastive self-supervised learning framework, which can be adapted to various protein surface ...

Wani, OA, Mahdi, SS, Yeasin, M, Kumar, SS, Gagnon, A, Danish, F, Al-Ansari, N, El-Hendawy, S and Mattar, MA (2024) Predicting ...

In a recent article, researchers explored the integration of endoscopic optical coherence tomography (OCT) with deep learning ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...