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Dat Q. Tran

Researcher at Linköping University

Publications -  149
Citations -  8957

Dat Q. Tran is an academic researcher from Linköping University. The author has contributed to research in topics: FOXP3 & Lactobacillus reuteri. The author has an hindex of 37, co-authored 137 publications receiving 7706 citations. Previous affiliations of Dat Q. Tran include University of Southern California & University of California, Berkeley.

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Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

TL;DR: In this article, a multi-label classification framework based on deep convolutional neural networks (CNNs) was proposed for diagnosing the presence of 14 common thoracic diseases and observations.
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Mechanisms of polyethylene glycol 400 permeability of perfused rat intestine

TL;DR: It is demonstrated that PEG 400 is absorbed by both passive diffusion and by solvent drag, with the latter accounting for a greater fraction of the absorptive drive under normal conditions.
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Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.

TL;DR: The Endoscopy Computer Vision Challenge (EndoCV) as discussed by the authors is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy systems and suggest a pathway for clinical translation of technologies.
Posted Content

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

TL;DR: In this paper, the authors describe a dataset of more than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam and release 18,000 images that were manually annotated by a total of 17 experienced radiologists with 22 local labels of rectangles surrounding abnormalities and 6 global labels of suspected diseases.
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The inhibition of estrogen receptor-mediated responses by chloro-S-triazine-derived compounds is dependent on estradiol concentration in yeast

TL;DR: The results suggest that the ability of the triazines to inhibit estrogen receptor-mediated responses in yeast occur through their interaction with hER and is dependent on the concentration of estradiol.