Development and validation of a deep learning model trained on MRI for the prediction of hepatocellular carcinoma survival

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Deep learning model based on contrast-enhanced MRI for predicting post-surgical survival in patients with hepatocellular carcinoma2024 · 2 citations
2. 2Deep Learning Model based on multi-parametric MRI for Accurate Prediction of D-TACE Efficacy in Hepatocellular Carcinoma2025
3. 3Multi-Task Deep Learning on MRI for Tumor Segmentation and Treatment Response Prediction in an Experimental Model of Hepatocellular Carcinoma2025
4. 4Using convolutional neural network predicts microvascular invasion in hepatocellular carcinoma based on Gd-EOB-DTPA-enhanced MRI2024
5. 5Survival Prediction and Treatment Decisions in Hepatocellular Carcinoma: A Deep Learning-Based Radiomics Approach2026