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Meng-Yao Ji

Wuhan University - Department of Gastroenterology

China

SCHOLARLY PAPERS

2

DOWNLOADS

208

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

A Machine Learning Based Risk Stratification Model Could Predict Recurrence in Early-Stage Colon Carcinoma via Digital Pathology Images: A Double-Center Study

Number of pages: 44 Posted: 07 Jul 2019
Wuhan University - Department of Gastroenterology, Wuhan University - Key Laboratory of Hubei Province for Digestive System Disease, Wuhan University - Department of Information Center, Wuhan University - Department of Pathology, Wuhan University - Renmin Hospital, Wuhan University - Department of Gastroenterology, Wuhan University - Department of Gastroenterology, Huazhong University of Science and Technology - Central Hospital of Wuhan, Shaanxi Normal University and Wuhan University - Department of Gastroenterology
Downloads 158 (472,207)

Abstract:

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gland heterogeneity; quantitative histopathology images; colon adenocarcinoma; prognosis

2.

An End-to-End Integrated Clinical and CT Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multi-Site Retrospective Study

Number of pages: 28 Posted: 01 Jul 2021
Case Western Reserve University, Case Western Reserve University, Case Western Reserve University, Case Western Reserve University - University Hospitals Cleveland Medical Center, Case Western Reserve University, Case Western Reserve University - University Hospitals Cleveland Medical Center, Case Western Reserve University - University Hospitals Cleveland Medical Center, Case Western Reserve University - Harrington Heart and Vascular Institute, Wuhan University, Case Western Reserve University - Department of Population & Quantitative Health Sciences, Case Western Reserve University - Center for Computational Imaging and Personalized Diagnostics, Wuhan University - Department of Gastroenterology and Emory University - Wallace H Coulter Department of Biomedical Engineering
Downloads 50 (1,063,489)
Citation 1

Abstract:

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COVID-19, Radiomics, Nomograms, Prognosis, Ventilator