Abstract: We propose a novel spatiotemporal fusion method based on deep convolutional neural networks (CNNs) under the application background of massive remote sensing data. In the training stage, we ...

Abstract: Semantic segmentation is one of the fundamental tasks in understanding high-resolution aerial images. Recently, convolutional neural network (CNN) and fully convolutional network (FCN) have ...

Rudolf Virchow fundamentally changed medicine when he formulated his cell theory of disease in the 19th century: Diseases do ...

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

AIIA Lab, Harbin Institute of Technology. This repository is the official PyTorch implementation of "Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution". If our work helps your ...

The Dell Pro Max 18 Plus wants to give you all the desktop-tier firepower in the world. In return, you must be ready to bear its sheer bulk and the cost burden. The Latest Tech News, Delivered to Your ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

For the Tulalip Tribes in Washington state, the wetlands nestled in the tribe’s forests and coasts are far from humble swamps and simple ponds. They’re vital for climate resilience and biodiversity — ...

This repository contains an implementation of SynthSR, a convolutional neural network that turns a clinical MRI scan (or even CT scan!) of any orientation, resolution and contrast into 1 mm isotropic ...

Background Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk ...

Deep learning maps biomolecular condensate morphology to functional outcomes and sheds light on markers of health.