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Automatic Segmentation of Liver Metastases Based on a Deep Learning: Assessment of Tumor Treatment Response According to the RECIST 1.1 Criteria

Author:xiang liu  xiaoying wang  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:AI Application in Body Imaging II  

Program Number:1644  

Room Session:Exhibition Halls D/E  

Institution :peking university first hospital  

Improving Kidney Volume Measurement Reproducibility in ADPKD by Averaging Measurements on Multiple Sequences

MR-based Radiomics Models for Predicting Pathological Complete Response in Locally Advanced Rectal Cancer: A Two-Centre, Multi-Vendor Study

AI-based reconstruction of T2-weighted sequences in prostate MRI: clinical evaluation and impact on diagnostic confidence

Multiparametric MR-based Feature Fusion Radiomics Combined with ADC Maps-based Tumor Proliferative Burden in Distinguishing TNBC vs. non-TNBC

A Fully Automatic Data Processing Method for MRI T2* Relaxometry of Iron Loaded Liver

Author:Zifeng Lian  Qiqi Lu  Yanqiu Feng  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:AI Application in Body Imaging II  

Program Number:1651  

Room Session:Exhibition Halls D/E  

Institution :Southern Medical University  

Using convolutional neural network predicts microvascular invasion in hepatocellular carcinoma based on Gd-EOB-DTPA-enhanced MRI

Radiomics Nomogram Based on Multi-scale MRI for the Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma

Deep Learning Segmentation of Lung Parenchyma For UTE Proton MRI

An update of Graded prognostic assessment using molecular markers and Radiomics for estimating survival in NSCLC patients with brain metastases

Quantitative 3D tumor enhancement on contrast-enhanced MR imaging in patients with HCC after TACE: a consistency evaluation

The importance of multi-reader assessment for external validation of prostate lesion classification models using quantitative mpMRI.

Development and validation of combined Ki67 status prediction model for intrahepatic cholangiocarcinoma based on MRI radiomics

Reduction of acquisition time of diffusion-weighted liver imaging using deep learning image reconstruction

Self-supervised Denoising of Pulmonary Perfusion Imaging in Human Subjects and Swine

Author:Changyu Sun  Craig Emter  Darla Tharp  Talissa Altes  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:AI Application in Body Imaging II  

Program Number:1660  

Room Session:Exhibition Halls D/E  

Institution :University of Missouri Columbia  

Constructing different models to predict the degree of uterine prolapse based on high-resolution MRI radiomics

3D MR Elastography-based Prediction of the Histologic VETC Pattern Associated with Aggressive Hepatocellular Carcinoma