Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection-Reference-Cited by-同舟云学术

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Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection

Published:2024-12 Issue: Volume:24 Page:571-582
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Fayzullin Alexey,Ivanova Elena,Grinin Victor,Ermilov Dmitry,Solovyeva Svetlana,Balyasin Maxim,Bakulina Alesia,Nikitin Pavel,Valieva Yana,Kalinichenko Alina,Arutyunyan Alexander,Lychagin Aleksey,Timashev Peter

Funder

Russian Science Foundation

Publisher

Elsevier BV

Reference25 articles.

1. Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant;Wolfe;N Engl J Med,1999

2. Die Geschichte der Nierentransplantation [The history of kidney transplantation];Hatzinger;Urologe,2016

3. US Renal Data System 2018 annual data report: epidemiology of kidney disease in the United States;Saran;Am J Kidney Dis,2019

4. Diagnosis of renal transplant rejection: Banff classification and beyond;Jeong;Kidney Res Clin Pr,2020

5. OPTN/SRTR 2019 annual data report: kidney;Hart;Am J Transpl,2021

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