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Diffusion MRI data analysis using brain segmentation from anatomical images synthesized from diffusion data by deep learning(DeepAnat)

Author:Ziyu Li  Qiuyun Fan  Berkin Bilgic  Guangzhi Wang  Jonathan Polimeni  Susie Huang  Qiyuan Tian  

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:0437  

Room Session:N11 (Breakout A)  

Institution:Massachusetts General Hospital  Tsinghua University  University of Oxford  Harvard Medical School  

Direct parameter estimation of white matter model from DKI maps using recurrent neural network

Author:Yujian Diao  Ileana Jelescu  

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:0438  

Room Session:N11 (Breakout A)  

Institution:CIBM Center for Biomedical Imaging  Ecole Polytechnique Fédérale de Lausanne  Lausanne University Hospital  

Improving oxygenation quantification from streamlined qBOLD data using amortized variational inference

Author:Ivor Simpson  Ashley McManamon  Alan Stone  Nicholas Blockley  Alessandro Colasanti  Mara Cercignani  

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:0434  

Room Session:N11 (Breakout A)  

Institution:Brighton and Sussex Medical School  Cardiff University  St. Vincent's University Hospital  University of Nottingham  University of Sussex  

Rapid Quantitative Imaging Using Wave-Encoded Model-Based Deep Learning for Joint Reconstruction

Author:Jaejin Cho  Borjan Gagoski  Tae Hyung Kim  Qiyuan Tian  Robert Frost  Itthi Chatnuntawech  Berkin Bilgic  

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:0435  

Room Session:N11 (Breakout A)  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital  National Nanotechnology Center  Harvard Medical School  Harvard/MIT Health Sciences and Technology  

Retrospective Pharmacokinetic Quantification of Clinical Abdominal DCE-MRI using Deep Learning

Author:Chaowei Wu  Nan Wang  Srinivas Gaddam  Hui Han  Stephen Pandol  Anthony Christodoulou  Yibin Xie  Debiao Li  

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:0436  

Room Session:N11 (Breakout A)  

Institution:Cedars-Sinai Medical Center  Stanford University  University of California, Los Angeles  

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