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Chih-Ying Deng

Researcher at Harvard University

Publications -  10
Citations -  1024

Chih-Ying Deng is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Topic model. The author has an hindex of 6, co-authored 9 publications receiving 412 citations. Previous affiliations of Chih-Ying Deng include Memorial Hospital of South Bend & Chang Gung University.

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MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

TL;DR: A large dataset of 227,835 imaging studies for 65,379 patients presenting to the Beth Israel Deaconess Medical Center Emergency Department between 2011–2016 is described, making freely available to facilitate and encourage a wide range of research in computer vision, natural language processing, and clinical data mining.
Posted Content

MIMIC-CXR: A large publicly available database of labeled chest radiographs

TL;DR: MIMic-CXR-JPG is derived entirely from the MIMIC-C XR database, and aims to provide a convenient processed version of MIMICS CXR, as well as to provided a standard reference for data splits and image labels.
Journal ArticleDOI

Progressive Sarcopenia in Patients With Colorectal Cancer Predicts Survival

TL;DR: Progressive sarcopenia after diagnosis of colorectal cancer has a significant negative prognostic association with overall and progression-free survival and Kaplan-Meier analysis showed significant differences in overall and progressiveness based on sex-specific quartiles of muscle quantity and quality.
Posted Content

Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation

TL;DR: A new text representation Clinical XLNet is developed for clinical notes which also leverages the temporal information of the sequence of the notes and outperforms the best baselines consistently.
Journal ArticleDOI

Quantitative analysis of enhanced malignant and benign lesions on contrast-enhanced spectral mammography.

TL;DR: This is the first study evaluating the feasibility of quantifying lesion enhancement on CESM and the quantities of enhancement were informative for assessing breast lesions in which the malignancies had stronger enhancement and more relative depressed enhancement than the benign lesions.