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Yingnan Ju

As seen in: Nature, BioRxiv
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Articles

CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care

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By Yuetan Chu, Jianpeng Wang, Peiyao Luo, Hui Chen, Zhongheng Zhang, Jiannan Zhang, Yilan Zhang, Yingnan Ju, Yaxin Xiong, Xiqing Luo, Hongyu Shi, Mingbo Zhao, Yiqi Wang, Quankuan Gu, Qiuyue Yang, Yi Zhang, Yaoyu Gu, Changsong Wang, Kai Kang, Zhaowen Qiu, Xin Ge, Gongning Luo, Xin Gao, Mingyan Zhao, Xianglin Meng, Jiuyue Sun, Tinghui Qiu, Ping Hang, Jiaman Guan, Renpei Lu, Ci Han, Kaijiang Yu
| Nature Verified
Abstract Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality exceeding 40%. Its diagnosis and management depend on multi-step procedures, invasive arterial blood gas analysis, and subjective CT interpretation, often leading to inconsistency, delayed intervention, and increased procedural burden.
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Segmentation of human functional tissue units in support of a Human Reference Atlas - Communications Biology

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By Yashvardhan Jain, Leah L. Godwin, Yingnan Ju, Ellen Quardokus, Andreas Bueckle, Yiing Lin, John Hickey Verified, Michael Snyder, Nathan Heath Patterson, Jeffrey M. Spraggins
| Nature Verified
Data preparation For the “HuBMAP – Hacking the Kidney” Kaggle competition, a dataset was compiled comprising 30 Periodic acid-Schiff (PAS) stain whole slide images (WSIs) with 7102 segmented renal glomeruli (see Supplementary Table 3 and “Methods”). To determine if algorithms generalize to other FTU types, a second dataset was compiled comprising seven colon hematoxylin and eosin (H&E) stain WSIs with 395 segmented colonic crypts (see Supplementary Table 4 and “Methods”).
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3D reconstruction of skin and spatial mapping of immune cell density, vascular distance and effects of sun exposure and aging - Communications Biology

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By Yingnan Ju, Elizabeth Zephyrine McDonough, Katy Börner
| Nature Verified
Abstract Mapping the human body at single cell resolution in three dimensions (3D) is important for understanding cellular interactions in context of tissue and organ organization. 2D spatial cell analysis in a single tissue section may be limited by cell numbers and histology. Here we show a workflow for 3D reconstruction of multiplexed sequential tissue sections: MATRICS-A (Multiplexed Image Three-D Reconstruction and Integrated Cell Spatial - Analysis).
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