Filter

Partial Search: Partial searches may be entered manually by pressing enter in the filter input field.
Author Filter: Selecting one or more Authors from the Author drop down list will filter results by Author last name(s) only.

Displaying 1 - 4 of 4

Page:
1

Automated Adipose Tissue Segmentation using 3D Attention-Based Competitive Dense Networks and Volumetric Multi-Contrast MRI

Author:Sevgi Kafali Shu-Fu Shih Xinzhou Li Shilpy Chowdhury Spencer Loong Samuel Barnes Zhaoping Li Holden Wu

Session Type:Oral

Session Date:Wednesday, 11 May 2022

Topic:Module 5: Machine Learning/Artificial Intelligence

Session Name:Deep/Machine Learning-Based Image Analysis

Program Number:0553

Room Session:N11 (Breakout B)

Institution:Loma Linda University Medical Center Loma Linda University School of Mental Health University of California, Los Angeles

View Submission

Quantifying Infant Lean Body Mass using Free-Breathing 3D Stack-of-Radial MRI

Author:Hannah Parish Shu-Fu Shih Shahnaz Ghahremani Sevgi Kafali Kara Calkins Holden Wu

Session Type:Online Gather.town Pitches

Session Date:Tuesday, 10 May 2022

Topic:Module 28: Pediatrics, Normal Development & Aging

Session Name:Pediatrics: Miscellaneous

Program Number:4022

Room Session:4

Institution:University of California Los Angeles

View Submission

Self-Navigated Radial Free-Breathing Magnetic Resonance Elastography of the Liver withRapid Motion Encodingin Children at 3T

Author:Sevgi Kafali Bradley Bolster Jr. Shu-Fu Shih Grace Kim Joanna Yeh Robert Venick Shahnaz Ghahremani Kara Calkins Holden Wu

Session Type:Oral

Session Date:Monday, 09 May 2022

Topic:Module 23: MR Contrasts

Session Name:MR Elastography

Program Number:0121

Room Session:ICC Capital Suite 14-16

Institution:Siemens Medical Solutions, Inc. University of California, Los Angeles

View Submission

Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R₂* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI

Author:Shu-Fu Shih Sevgi Kafali Kara Calkins Holden Wu

Session Type:Oral

Session Date:Wednesday, 11 May 2022

Topic:Module 21: Machine Learning and Artificial Intelligence

Session Name:Deep/Machine Learning-Based Quantitative Imaging & Modeling

Program Number:0433

Room Session:N11 (Breakout A)

Institution:University of California Los Angeles

View Submission

Displaying 1 - 4 of 4

Page:
1

Current Filters

TITLE

Author:

Filter

Automated Adipose Tissue Segmentation using 3D Attention-Based Competitive Dense Networks and Volumetric Multi-Contrast MRI

Quantifying Infant Lean Body Mass using Free-Breathing 3D Stack-of-Radial MRI

Self-Navigated Radial Free-Breathing Magnetic Resonance Elastography of the Liver withRapid Motion Encodingin Children at 3T

Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R₂* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI

Current Filters

TITLE

Author:

Filter

Automated Adipose Tissue Segmentation using 3D Attention-Based Competitive Dense Networks and Volumetric Multi-Contrast MRI

Quantifying Infant Lean Body Mass using Free-Breathing 3D Stack-of-Radial MRI

Self-Navigated Radial Free-Breathing Magnetic Resonance Elastography of the Liver withRapid Motion Encodingin Children at 3T

Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R2* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI

Uncertainty-Aware Physics-Driven Deep Learning Network for Fat and R₂* Quantification in Self-Gated Free-Breathing Stack-of-Radial MRI