Unsupervised Machine Learning of MRI Radiomics Features Identifies Two Distinct Subgroups with Different Liver Function Reserve and Risks of Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma
Qiang Wang(Artificial Intelligence in Medicine (Canada)), Kuansheng Ma(Army Medical University), Torkel B. Brismar(Karolinska University Hospital), Leida Zhang(Southwest Hospital), Geng Chen(Chinese Academy of Sciences), Zhiyu Chen(Sichuan University), Kai Feng(Army Medical University), Changfeng Li(Shanxi Medical University), Ping Cai(Army Medical University), Ernesto Sparrelid(Karolinska University Hospital)
Cited by 10
Related Papers
The Genomes of Oryza sativa: A History of Duplications
|PLoS Biology|2005|1k
Camrelizumab in Combination with Apatinib in Patients with Advanced Hepatocellular Carcinoma (RESCUE): A Nonrandomized, Open-label, Phase II Trial
|Clinical Cancer Research|2020|576
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
|Radiology Artificial Intelligence|2024|406
PINK1 and PARK2 Suppress Pancreatic Tumorigenesis through Control of Mitochondrial Iron-Mediated Immunometabolism
|Developmental Cell|2018|257
A guideline on the molecular ecosystem regulating ferroptosis
|Nature Cell Biology|2024|251