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References from Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection. Local targets link to admitted publications; unresolved targets remain external evidence.
Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant
10.1056/nejm199912023412303 · 1999 · External reference
Die Geschichte der Nierentransplantation [The history of kidney transplantation]
10.1007/s00120-016-0205-3 · 2016 · External reference
US Renal Data System 2018 annual data report: epidemiology of kidney disease in the United States
10.1053/j.ajkd.2019.01.001 · 2019 · External reference
Diagnosis of renal transplant rejection: Banff classification and beyond
10.23876/j.krcp.20.003 · 2020 · External reference
OPTN/SRTR 2019 annual data report: kidney
10.1111/ajt.16502 · 2021 · External reference
10.1097/tp.0000000000002366
10.1097/tp.0000000000002366 · External reference
Thirty years of the International Banff Classification for Allograft Pathology: the past, present, and future of kidney transplant diagnostics
10.1016/j.kint.2021.11.028 · 2022 · External reference
Renal medullary and cortical correlates in fibrosis, epithelial mass, microvascularity, and microanatomy using whole slide image analysis morphometry
10.1371/journal.pone.0161019 · 2016 · External reference
A neural network for glomerulus classification based on histological images of kidney biopsy
10.1186/s12911-021-01650-3 · 2021 · External reference
Computerized histomorphometric assessment of protocol renal transplant biopsy specimens for surrogate markers of chronic rejection
10.1097/00007890-199907270-00013 · 1999 · External reference
Development of CD3 cell quantitation algorithms for renal allograft biopsy rejection assessment utilizing open source image analysis software
10.1007/s00428-017-2260-6 · 2018 · External reference
Deep learning-based histopathologic assessment of kidney tissue
10.1681/asn.2019020144 · 2019 · External reference
Unresolved reference
External reference
Deep learning-based segmentation and quantification in experimental kidney histopathology
10.1681/asn.2020050597 · 2021 · External reference
Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study
10.1016/s2589-7500(21)00211-9 · 2022 · External reference
Banff fibrosis study: multicenter visual assessment and computerized analysis of interstitial fibrosis in kidney biopsies
10.1111/ajt.12641 · 2014 · External reference
A fully automated system using a convolutional neural network to predict renal allograft rejection: extra-validation with giga-pixel immunostained slides
10.1038/s41598-019-41479-5 · 2019 · External reference
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
10.1038/s41374-021-00601-w · 2021 · External reference
Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies
10.1016/j.kint.2021.09.028 · 2022 · External reference
Evaluation of the classification accuracy of the kidney biopsy direct immunofluorescence through convolutional neural networks
10.2215/cjn.03210320 · 2020 · External reference
10.1038/s41592-022-01650-9
10.1038/s41592-022-01650-9 · External reference
Generative adversarial networks for facilitating stain-independent supervised and unsupervised segmentation: a study on kidney histology
10.1109/tmi.2019.2899364 · 2019 · External reference
10.1016/j.media.2022.102580
10.1016/j.media.2022.102580 · External reference
Next-generation morphometry for pathomics-data mining in histopathology
10.1038/s41467-023-36173-0 · 2023 · External reference
Empowering renal cancer management with AI and digital pathology: pathology, diagnostics and prognosis
10.3390/biomedicines11112875 · 2023 · External reference