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Contrast-enhanced MRI radiomics for predicting therapeutic response to transcatheter arterial chemoembolization in HCC

Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI

Dynamic contrast enhanced imaging (DCE-MRI) combined with T1 and T2 mapping for differentiation between HCC and HM

Intravoxel incoherent motion diffusion-weighted MR imaging forpreoperatively identifying CK19-positive hepatocellular carcinoma

Susceptibility weighted imaging forquantitatively evaluation ofdual-phenotype hepatocellular carcinoma

A Two-Stage Deep Learning Model for Accurate Vessel Segmentation and Reconstruction in the MRI of Live

Using deep domain adaptation method to improve liver segmentation performance in Limited MRI images

The value of intratumoral susceptibility signal intensitiesin quantitatively and automaticallydifferentiating ICC from HCC

The value of IVIM and enhanced T2 star weighted angiography(ESWAN) forprediction of microvascular invasion inhepatocellular carcinoma

The value of radiomics-based model on contrast-enhanced MRI for predicting microvascular invasion in HCC before Partial Hepatectomy

Valueof intratumoral susceptibility signal intensitiesin quantitatively and automatically evaluatinghistological grade of HCC using ESWAN