Deep learning-based image quality and spatial resolution improvement in Turbo Spin Echo Diffusion Weighted Imaging for prostate

Quantitative Analysis and Scan Time Impact of DL Recon Applied to Single-Shot Diffusion of the Prostate

Deep learning-based high-resolution T2-weighted imaging elevated clarity of prostatic calcification and diagnostic efficacy

Motion artifact assessment for magnetic resonance imaging using a learned combination of deep learning model predictions.

Implicit Temporal-compensated Adversarial Network for 4D-MRI Enhancement

Author:Yinghui Wang  Tian Li  Haonan Xiao  Jing Cai  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

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

Program Number:4737  

Room Session:Exhibition Halls D/E  

Institution :The Hong Kong Polytechnic University  

Deep learning tools to aid the evaluation of isthmic spondylolysis

A Fat-suppression, Image-subtraction Method Using Deep Learning for the Detection of Knee Abnormalities on MRI

Accelerating DCE-MRI Analysis for Prostate Cancer Diagnosis with Deep Neural Networks

Author:Kai Zhao  Haoxin Zheng  Kyunghyun Sung  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

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

Program Number:4740  

Room Session:Exhibition Halls D/E  

Institution :University of California, Los Angeles  

Distinction of True-Progression from Pseudo-progression in Glioblastomas using ML Model based on Quantitative mpMRI and Molecular Signatures

Anatomy and Image Contrast Metadata Verification using Self-supervised Pretraining

Author:Ben Duffy  Ryan Chamberlain  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

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

Program Number:4742  

Room Session:Exhibition Halls D/E  

Institution :Subtle Medical Inc.  

A neural network to estimate the hip center of rotation for a fully-automated range of motion analysis in femoroacetabular impingement.

Can machine learning resolve model degeneracy in tissue microstructure estimation?

A Deep Learning Nomogram Based on Gd-EOB-DTPA MRI for Predicting Early Recurrence in Hepatocellular Carcinoma after Hepatectomy

Improving Across-Dataset Schizophrenia Classification with Structural Brain MRI Using Multi-scale Transformer

Author:Ye Tian  Junhao Zhang  Vish Rao  Jia Guo  

Session Type:Digital Poster  

Session Date:Thursday, 08 June 2023  

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

Program Number:4746  

Room Session:Exhibition Halls D/E  

Institution :Columbia University  

Using machine learning to evaluate values of six diffusion models to predict the efficacy of neoadjuvant chemotherapy for esophageal cancer

Multi-parametric MRI Radiomics Combined with Clinical Factors to Predict the Response to Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma

Multi-parametric MRI-based Radiomics integrated with Clinical Features for Predicting the Ki-67 Labeling Index in Nasopharyngeal Carcinoma

Multi-branch deep learning model integrated with multi-modal MRI for differential diagnosis of autism spectrum disorders