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Yin Zhou on Muck Rack

Yin Zhou

As seen in: Nature, Wiley Online Library, BMJ Open, Elsevier, MDPI, Royal Society of Chemistry, BioRxiv, Cell Reports Physical Science, Journal of Public Health, The Lancet and
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Articles

Non-invasive endometriosis staging prediction using integrated radiomics and spatiotemporal transformer model based on dynamic contrast-enhanced MRI

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By Huan Xie, Caijiao Peng, Liu Hui, Yin Zhou, Lanjuan Zeng
| Nature Verified
Abstract Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost entirely on laparoscopic visualization—an invasive procedure marked by considerable inter-observer disagreement and diagnostic delays.
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Optimal Calibration Sizes for Predicting Soil Properties Using Vis-NIR Spectra Across Scales

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By Yin Zhou, Yechen Jin, Lingju Dai
| Wiley Online Library Verified
Y., Y.Jin, L.Dai, et al. 2026. “Optimal Calibration Sizes for Predicting Soil Properties Using Vis-NIR Spectra Across Scales.” European Journal of Soil Science77, no. 2: e70316. Zhou, https://doi.org/10.1111/ejss.70316. Data Availability Statement The data that support the findings of this study are openly available in LUCAS 2009 TOPSOIL data at https://esdac.jrc.ec.europa.eu/content/lucas-2009-topsoil-data. References , , , et al. 2019.
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Defining recurrent urinary tract infections and quantifying bladder cancer risk in primary care in England: a nationwide case–control study

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By Fiona Walter, Yin Zhou
| The Lancet Verified
Introduction Bladder cancer is among the ten most common cancers in England, with 18 000 new diagnoses each year and more than 150 000 people living with the disease.1 Early diagnosis is associated with improved survival and patient-reported outcomes;2 however, timely detection of bladder cancer can be challenging as urinary symptoms are common and can be caused by other benign conditions, such as urinary tract infections (UTIs) and benign prostatic disease.
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