Zhao H

Automated Interpretation of Systolic and Diastolic Function on the Echocardiogram: A Multicohort Study

Heart failure is a significant public health problem worldwide. Early diagnosis and treatment can prevent disease progression and reduce the burden on health-care systems. Echocardiography is the most commonly used cardiac imaging modality and is generally considered the primary method for assessing cardiac structure and function in the diagnosis of heart failure.

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A chemical biology approach reveals a dependency of glioblastoma on biotin distribution

Glioblastoma (GBM) is a uniformly lethal disease driven by glioma stem cells (GSCs). Here, we use a chemical biology approach to unveil previously unknown GBM dependencies. By studying sulconazole (SN) with anti-GSC properties, we find that SN disrupts biotin distribution to the carboxylases and histones. Transcriptomic and metabolomic analyses of SN-treated GSCs reveal metabo

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Supervised Segmentation of Un-annotated Retinal Fundus Images by Synthesis

We focus on the practical challenge of segmenting new retinal fundus images that are dissimilar to existing well-annotated datasets. It is addressed in this paper by a supervised learning pipeline, with its core being the construction of a synthetic fundus image dataset using the proposed R-sGAN technique.

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Synthesizing retinal and neuronal images with generative adversarial nets

This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from an unseen tubular structured annotation that contains the binary vessel (or neuronal) morphology. The generated phantoms are expected to preserve the same tubular structure, and resemble the visual appearance of the training images.

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