Xiaoyin Xu Harvard Medical School

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Xiaoyin Xu - Associate Professor - Department of …

https://www.linkedin.com/in/xiaoyin-xu-632a4674

Xiaoyin Xu Associate Professor, Harvard Medical School, Brigham and Women's Hospital Boston, Massachusetts, United States 74 followers 74 connections Join to connect …

Xiaoyin Xu | Harvard Catalyst Profiles | Harvard Catalyst

https://connects.catalyst.harvard.edu/Profiles/profile/1232715

R01LM011415 (XU, XIAOYIN) Sep 28, 2014 - Sep 27, 2020 NIH A novel informatics approach to understanding complex muscle fiber phenotypes Role: Principal Investigator …

Xiaoyin Xu | IEEE Xplore Author Details

https://ieeexplore.ieee.org/author/37068431900

Xiaoyin Xu received the Ph.D. degree. He is currently an Associate Professor with the Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School. His …

Dana–Farber/Harvard Cancer Center

https://dfhcc.harvard.edu/insider/member-detail/member/xiaoyin-xu-phd/

Dana–Farber/Harvard Cancer Center

Deep‐Learning Detection of Cancer Metastases to the …

https://onlinelibrary.wiley.com/doi/abs/10.1002/jmri.27129

[email protected]

Xiaoyin Xu's research works | Harvard Medical School, …

https://www.researchgate.net/scientific-contributions/Xiaoyin-Xu-2156659598

Xiaoyin Xu's 4 research works with 20 citations and 77 reads, including: Quantitative assessment of pulmonary function in lymphangioleiomyomatosis patients using high …

Xiaoyin Xu's research works | Harvard Medical School, …

https://www.researchgate.net/scientific-contributions/Xiaoyin-Xu-2131278218

Xiaoyin Xu Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the...

Loop | Xiaoyin Xu

https://loop.frontiersin.org/people/1345473/publications

Xiaoyin Xu Doctorate Associate Professor Brigham and Women's Hospital, Harvard Medical School Boston, United States Xiaoyin Xu Overview Bio Network 1 Publications …

Deep-Learning Detection of Cancer Metastases to the …

https://pubmed.ncbi.nlm.nih.gov/32167652/

From the 48 outputs of Faster R-CNN, 212 lesions in 46 scans of 18 patients were used for training the RUSBoost algorithm (MatLab) and 276 lesions in 45 scans of 30 patients for …