Application value of Radiomics Methods Based on DKI Sequence MK Map for Differentiating squamous Cell carcinoma from cervix Adenocarcinoma

Automated Image Prescription for Liver MRI using Deep Learning

Automatic Detection of Small Hepatocellular Carcinoma (=2 cm) in Cirrhotic Liver based on Pattern Matching and Deep Learning

Automatic segmentation of uterine endometrial cancer on MRI with convolutional neural network

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

Deep learning based radial de-streaking for free breathing time resolved volumetric DCE MRI

Author:Sagar Mandava  Xinzeng Wang  Ty Cashen  Tetsuya Wakayama  Ersin Bayram  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:(Artificial) Intelligence in the Body  

Program Number:0529  

Room Session:Concurrent 5  

Institution:GE Healthcare  

Deep Learning Reconstruction for DWI with b Values < 5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer

Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI

Discriminative feature learning and adaptive fusion for the grading of hepatocelluar carcinoma with Contrast-enhanced MR

Evaluation of Data Augmentation Methods for Autonomous Segmentation of Placental Volume for Detecting Viral Complications

FAST 3D vs. Compressed Sensing vs. Parallel Imaging: Image Quality Improvement on MRCP with and without Deep Learning Reconstruction

Few-shot deep learning for kidney segmentation

Author:Junyu Guo  Ivan Pedrosa  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2994  

Room Session:Concurrent 5  

Institution:UT Southwestern Medical Center  

Fully Automated Pelvic Bones Segmentation in Multiparameter MRI Using a 3D Convolutional Neural Network

Author:Xiang Liu  Chao Han  Xiaoying Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2997  

Room Session:Concurrent 5  

Institution:Peking University First Hospital  

Is it Feasible? IVIM-DWI and T2WI-based Texture Analysis Predicting Histological Types of Cervical Carcinoma Before Operation

Model-based Deep Learning Reconstruction using Folded Image Training Strategy (FITS-MoDL) for Liver MRI Reconstruction

Motion Analysis in Fetal MRI using Deep Pose Estimator

Motion Robust High-Resolution Pelvic Imaging using PROPELLER and Deep Learning Reconstruction

The nomogram of MRI-based radiomics with complementary visual features by machine learning improves stratification of glioblastoma patients

Quantifying Efficiency and Variability of Clinical MRI Exams with Advanced Analytics Tools

Radiomics Based on MR Imaging of Rectal Mucinous Adenocarcinoma: Assess Treatment Response to Neoadjuvant Chemoradiotherapy

T2-weighted Pelvic MR Imaging Using PROPELLER with Deep Learning Reconstruction for Improved Motion Robustness

T2WI liver MRI with deep learning-based reconstruction: a clinical feasibility study in comparison to conventional T2WI liver MRI

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

The value of Radiomics combined with Machine Learning in the staging of liver Fibrosis

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