Multimodality imaging is a comprehensive strategy to investigate left ventricular hypertrophy (LVH), providing morphologic, functional, and often clinical information to clinicians. Hypertrophic ...
Sites of teaching and learning have long been a concern in the study of multimodality because of the impact education has on the production of future social subjects and the individual and collective ...
Abstract: The diagnosis of mild cognitive impairment (MCI), which is an early stage of Alzheimer’s disease (AD), has great clinical significance. Medical imaging and gene sequencing technologies have ...
Gemini 3 brings deeper reasoning and multimodal AI to healthcare, helping CIOs improve care quality, cut delays, and boost ...
Disturbance has long been recognized as a critical driver of species diversity in community ecology. Recently, it has been found that the well-known intermediate disturbance hypothesis, which predicts ...
A few days ago I was reading a Stripe report on the current state of the mobility sector and the impact on society of the concept of Mobility as a Service (MaaS) as a dynamic element in this sector.
Abstract: Unsupervised Domain Adaptation Vehicle Re-Identification (UDA vehicle re-ID) aims to enable the model trained in the source domain dataset to adapt to the target domain data and obtain ...
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