Finding correspondences is a fundamental and extensively researched problem in computer vision and graphics. In this work, we examine the underexplored task of estimating segmentation-to-segmentation ...

Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and struggle with ...

Multimodal large language models (MLLMs) demonstrate impressive capabilities in understanding and generating language, but often struggle with visual tasks requiring precise spatial localization, such ...

Abstract: We propose a novel pipeline for the generation of synthetic full spatial cine cardiac magnetic resonance (CMR) images via a latent Denoising Diffusion Implicit Models (DDIMs). These ...

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Accurate brain segmentation is critical for magnetic resonance imaging (MRI) analysis pipelines. Machine-learning-based brain MR image segmentation methods are among the state-of-the-art techniques ...

The White House COVID-19 response coordinator Dr. Ashish Jha supports the continued use of masks while indoors as cases continue to rise again. "I agree with Mayor Adams that when you're in indoor ...