Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies-Reference-Cited by-同舟云学术

Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies

Published:2022-02 Issue:2 Volume:101 Page:288-298
ISSN:0085-2538
Container-title:Kidney International
language:en
Short-container-title:Kidney International

Author:

Yi Zhengzi,Salem Fadi^ORCID,Menon Madhav C.^ORCID,Keung Karen,Xi Caixia,Hultin Sebastian,Haroon Al Rasheed M. Rizwan,Li Li,Su Fei,Sun Zeguo,Wei Chengguo,Huang Weiqing,Fredericks Samuel,Lin Qisheng,Banu Khadija^ORCID,Wong Germaine,Rogers Natasha M.,Farouk Samira^ORCID,Cravedi Paolo,Shingde Meena,Smith R. Neal,Rosales Ivy A.,O’Connell Philip J.,Colvin Robert B.,Murphy Barbara,Zhang Weijia

Publisher

Elsevier BV

Subject

Nephrology

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4. Relationship between eGFR decline and hard outcomes after kidney transplants;Clayton;J Am Soc Nephrol,2016

5. CTOT-17 Consortium. Analysis of biomarkers within the initial 2 years posttransplant and 5-year kidney transplant outcomes: results from clinical trials in Organ Transplantation-17;Faddoul;Transplantation,2018

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