The 2021 Stanford Knee MRI with Multi-Task Evaluation (SKM-TEA) dataset pairs raw quantitative MRI (qMRI) data, image data, and dense labels of tissues and pathology for end-to-end exploration and ...

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Time series analysis is an essential component of Data Science ...

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...

As computing systems are more frequently and more actively intervening to improve people’s work and daily lives, it is critical to correctly predict and understand the causal effects of these ...

Whether it's conducting groundbreaking research in state-of-the-art laboratories or engaging in hands-on labs that bridge theory with practice, students are empowered to explore the frontiers of ...

This tutorial combines prompt engineering techniques tailored for clinical use, covering methods like zero-shot, few-shot, chain-of-thought, and meta-prompting. We examine four critical dimensions ...

Deep learning–based clinical imaging analysis underlies diagnostic artificial intelligence (AI) models, which can match or even exceed the performance of clinical experts, having the potential to ...

The rapid growth of cloud computing and systems has introduced significant complexity in managing and optimizing configurations to meet diverse workload demands across a wide array of hardware.