Accelerated Synthetic MRI with Deep Learning–Based Reconstruction for Breast Imaging

Advanced Deep Learning Denoising for Accelerated 0.55T Prostate MRI

Deep learning model based on multiparametric MRI for prediction of synchronous liver metastasis from rectal cancer: a two-center study.

Deep learning-based super-resolution imaging for routine clinical T1- and T2-weighted breast MRI at 1.5T

Diffusion MRI of the Abdomen with Motion-robust Diffusion Encoding, Multi-shot Readout, and Optimized Slice-specific Shimming

Disease Classification of 129Xe Ventilation MRI using Artificial Intelligence

Enhancing Liver Cyst Segmentation for ADPKD Patients Through Deep Learning Assistance

Free-breathing T2 mapping of the abdomen in half the scan time using RADTSE with deep learning reconstruction

Image quality assessment and longitudinal quality monitoring of clinically-applied AI-based reconstructions in MRI of rectal cancer

Image Quality Assessment using an Orientation Recognition Network for Fetal MRI

Author:Mingxuan Liu  Haoxiang Li  Zihan Li  Hongjia Yang  Jialan Zheng  Xiao Zhang  Qiyuan Tian  

Session Type:Power Pitch  

Session Date:Tuesday, 07 May 2024  

Session Name:Pitch: Progress in Body Applications  

Program Number:0726  

Room Session:Power Pitch Theatre 2  

Institution:Tsinghua University  

Motion-robust distortion-free breast diffusion-weighted MRI using DW-PROPELLER with deep learning reconstruction

Multiparametric radiomics-based machine learning predicts consensus molecular subtype 4 of colorectal cancer: a multi-center study

Multi-region Radiomics-based Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Multi-sequence MRI

Predicting tumor recurrence of locally advanced rectal cancer after neoadjuvant chemoradiotherapy based on multi-task deep-learning model

Radio-pathomic maps of complex histo-morphometric features trained with whole mount prostate histology differentiate prostate cancer on MPMRI

Utilizing Synthetic MRI and Deep Learning Reconstruction of DWI to Distinguish Benign from Malignant Breast Lesions