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Deep learning based image reconstruction for improved multiparameter mapping and synthetic MRI

Deep learning based image reconstruction for T2-weighted rectal cancer imaging

Deep Learning Reconstruction Method for Improved Visualization of Hippocampal Anatomical Structures

Author:Patrick Quarterman  Angela Lignelli  Marc Lebel  Sachin Jambawalikar  

Institution:Columbia University  GE Healthcare  

Session Type:Oral - Power Pitch  

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

Topic:Neurodegeneration 2  

Session Name:Epilepsy  

Program Number:0930  

Room Live Q&A Session:Wednesday Parallel 2  

Deep-Learning Reconstruction Method for Improved High-Resolution Imaging of the Lateral Rectus-Superior Rectus Band in a Clinical Setting

Author:Patrick Quarterman  Gul Moonis  Marc Lebel  

Institution:Columbia University  GE Healthcare  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1897  

Room Live Q&A Session:

Diffusion Weighted Imaging using PROPELLER Acquisition and a Deep Learning based Reconstruction

Feasibility of a quasi-volumetric synthetic MRI of the brain using 2D slice-interleaved MDME acquisition with deep learned reconstruction

Author:Ho-Joon Lee  Yeonah Kang  Marc Lebel  Min Soo Park  Joonsung Lee  

Institution:GE Healthcare  GE Healthcare Korea  Haeundae Paik Hospital  

Session Type:Digital Poster  

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

Topic:Neuro Acquisition and Processing  

Session Name:Neuroimaging: Acquisition 2  

Program Number:1775  

Room Live Q&A Session:

Feasibility of deep learned reconstruction for dual-echo fast spin echo based T2 mapping of the hippocampus and hippocampal subfield

Author:Ho-Joon Lee  Yeonah Kang  Marc Lebel  Min Soo Park  Joonsung Lee  

Institution:GE Healthcare  GE Healthcare Korea  Haeundae Paik Hospital  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1889  

Room Live Q&A Session:

Feasibility of magnetic resonance based electrical properties tomography with deep learned reconstruction based denoising

Feasibility of myelin water fraction mapping with denoised 2D multi-echo GRE images based on deep learned reconstruction

Author:Ho-Joon Lee  Yeonah Kang  Marc Lebel  Jae Eun Song  Sung-Min Gho  

Institution:GE Healthcare  Haeundae Paik Hospital  Yonsei University  

Session Type:Digital Poster  

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

Topic:Multiple Sclerosis and Myelin  

Session Name:Myelin Imaging: Acquisition to Application  

Program Number:1426  

Room Live Q&A Session:

High Resolution Prostate T2-weighted MRI with Deep Learning and without an Endorectal Coil

Author:Xinzeng Wang  Jong Bum Son  Priya Bhosale  Aliya Qayyum  Juan Ibarra-Rovira  Ken-Ping Hwang  Jason Stafford  Mark Pagel  Marc Lebel  Ersin Bayram  Jingfei Ma  Janio Szklaruk  

Institution:GE Healthcare  MD Anderson Cancer Center  

Session Type:Digital Poster  

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

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2395  

Room Live Q&A Session:

High Resolution T2W imaging using Deep Learning Reconstruction and Reduced Field-of-View PROPELLER

New Predict Parameter of Prognosis on Hyperacute Cerebral Infarction Evaluated by Multi-delay pCASL Imaging

Author:Masafumi Harada  Takashi Abe  Moriaki YAMANAKA  Tomoki MATSUSHITA  Yasushi Takagi  Yuishin IZUMI  Marc Lebel  Mitsuharu Miyoshi  

Institution:GE Healthcare  Tokushima University  

Session Type:Digital Poster  

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

Topic:Neurovascular  

Session Name:Neurovascular: MRA, Reactivity & Flow 2  

Program Number:1654  

Room Live Q&A Session: