Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed

With US restrictions limiting its access to advanced tech, SenseTime is doubling down on open source with a new model ...
IEEE

IRBFusion: Diffusion-Based Blind Image Super Resolution Using Unsupervised Learning and Bank of Restoration Networks

Abstract: Image super resolution focuses on increasing the spatial resolution of low-quality images and enhancing their visual quality. Since the image degradation process is unknown in real-life ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
ahajournals.org

Abstract 4364895: Automated External White Adipose Tissue Segmentation Using Routine Magnetic Resonance Imaging and Artificial Intelligence

Introduction: Quantifying adiposity, a key biomarker of metabolic health, typically requires imaging that involves radiation, high costs, and manual effort. We developed an AI framework to segment ...
Scientific Research Publishing

Greenwald, N.F., Miller, G., Moen, E., Kong, A., Kagel, A., Dougherty, T., et al. (2022) Whole-cell Segmentation of Tissue Images with Human-Level Performance Using Large-Scale ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...
IEEE

CiSeg: Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation via Causal Intervention

Abstract: Unsupervised domain adaptation (UDA) addresses the domain shift problem by transferring knowledge from labeled source domain data (e.g. CT) to unlabeled target domain data (e.g. MRI). While ...