Harvard Medical School

Medical AI Models Need More Context To Prepare for the Clinic

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

Medical AI models need more context to prepare for the clinic: Challenges and potential solutions

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...
IEEE

Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model

Abstract: In practice, domain shifts are likely to occur between training and test data, necessitating domain adaptation (DA) to adjust the pre-trained source model to the target domain. Recently, ...
IEEE

CDME: Convolutional Dictionary Iterative Model for Pansharpening With Mixture of Experts

Abstract: In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique ...