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Resources:

Recordings of Biweekly HCCR Workgroup Meetings

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Literature Library

Decoding global gene expression programs in liver cancer by noninvasive imaging

Imaging of hepatocellular carcinoma: diagnosis, staging and treatment monitoring

Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma

Prognosis of Recurrent Hepatocellular Carcinoma: A 10-Year Surgical Experience in Japan

Recurrence of Hepatocellular Carcinoma After Liver Transplantation: Patterns and Prognostic Factors Based on Clinical and Radiologic Features

Risk factors for hepatocellular carcinoma recurrence after liver transplantation

A Comparison of Five Methods for Signal Intensity Standardization in MRI

Image reconstruction by domain transform manifold learning

Standardization of brain MR images across machines and protocols: bridging the gap for MRI‑based radiomics

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation

 

CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multiinstitutional study

Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram

Radiogenomics and Radiomics in Liver Cancers 

Radiomics analysis enables recurrence prediction for hepatocellular carcinoma after liver transplantation

Radiomics based on artificial intelligence in liver diseases: where are we?

Radiomics and Deep Learning: Hepatic Applications

Radiomics in hepatocellular carcinoma: a quantitative review

LI-RADS v2017 for liver nodules: how we read and report