Automatic localization of metal artifacts regions on MRI scout images

Do deep learning-based qMRI parameter estimators improve clinical task performance?

Author:Sean Epstein  Timothy Bray  Margaret Hall-Craggs  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for General Image Analysis & Post-Processing II  

Program Number:4908  

Room Session:Exhibition Halls D/E  

Institution :UCL  UCLH  

Quantitative Assessment of the Whole Spine in T2 MRI Using Deep Learning

Classification of Plaque Composition in Peripheral Arterial Disease with Multi-Contrast Histology using 7 Tesla and a Variational AutoEncoder

Deep Learning Based Real-time Quality Assessment of Pilot Tone Respiratory Signals

Automated Motion Artifact Detection in Early Pediatric Diffusion MRI Using a Convolutional Neural Network

Multimodal MRI radiomics for identifying true tumor recurrence and treatment-related effects in postoperative glioma patients

An unsupervised deep learning-based method for in vivo high resolution Kidney MRI motion correction

Trading Streamlines in Tractography using Autoencoders (TINTA)

Region of Interest Prediction by Intra-stack Attention Neural Network

Author:Ke Lei  Ali Syed  Xucheng Zhu  John Pauly  Shreyas Vasanawala  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for General Image Analysis & Post-Processing II  

Program Number:4917  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  Stanford University  

Free water imaging parameter estimation by combination of synthetic q-space learning and conventional fitting: a hybrid approach

Deep learning based estimation of patient anthropometric data for intelligent scan planning in MR

Author:Subham Kumar  Harikrishna Rai  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for General Image Analysis & Post-Processing II  

Program Number:4920  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  

Image Quality and Quantitative Analysis of abbreviated IVIM Brain MRI With Deep LearningBased Reconstruction

Author:Qiongge Li  Yayan Yin  Jie Lu  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

Session Name:ML/AI for General Image Analysis & Post-Processing II  

Program Number:4921  

Room Session:Exhibition Halls D/E  

Institution :Xuanwu Hospital Capital Medical University  

Predicting Double Expression Status in Primary Central Nervous System Lymphoma Using Multiparametric MRI Based Machine Learning

Deep learning-based pipeline to improve sharpness in knee imaging at both 1.5T and 3T: a clinical evaluation

High Resolution Image Quality Improvement of T2 FLAIR Coronal Hippocampal Imaging by Deep Learning Reconstruction

Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body MRI population phenotyping approach

Convolutional Neural Network based Stack-of-Star Imaging with Noise and Artifacts Removal