Browse All

Current Filters

CLEAR FILTER x

TITLE

Author:

Deep learning based T1-enhanced selection of linear attenuation coefficients for PET/MR attenuation correction: accuracy and repeatability

Neuro-inflammation is associated with WMH burden at baseline and predicts longitudinal cognitive decline in cerebral small vessel disease

Phase2Phase: Reconstruction of free-breathing MRI into multiple respiratory phases using deep learning without a ground truth

Author:Cihat Eldeniz  Weijie Gan  Sihao Chen  Jiaming Liu  Ulugbek Kamilov  Hongyu An  

Institution:Washington University in St. Louis  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Machine Learning in Body MRI  

Program Number:0807  

Room Live Q&A Session:Wednesday Parallel 3  

Quantitative Assessment MR-Assisted PET Respiratory Motion Correction in Colorectal Liver Metastases using PET/MR

Author:Sihao Chen  Cihat Eldeniz  Yasheng Chen  Hongyu An  

Institution:Washington University in St. Louis  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Mitigating motion, artifacts and imperfections  

Session Name:Motion Correction: Non-Brain  

Program Number:3349  

Room Live Q&A Session:

RED-N2N: Image reconstruction for MRI using deep CNN priors trained without ground truth

Author:Jiaming Liu  Cihat Eldeniz  Yu Sun  Weijie Gan  Sihao Chen  Hongyu An  Ulugbek Kamilov  

Institution:Washington University in St. Louis  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0993  

Room Live Q&A Session:Wednesday Parallel 5  

Replacing CT with high-resolution MRI for 3D pediatric cranial bone imaging