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Amide Proton Transfer (APT) Mapping from Undersampled Z-spectra in the Brain Using Deep Learning

Author:Karandeep Cheema  Pei Han  Hui Han  Yibin Xie  Anthony Christodoulou  Debiao Li  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2524  

Room Session:Exhibition Hall:S8 & S9  

Institution:Cedars Sinai Medical Center  University of California, Los Angeles (UCLA)  

DCE-DRONE: Perfusion MRI Parameter Estimation using a DRONE Neural Network

Author:Soudabeh Kargar  Ouri Cohen  Ricardo Otazo  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2529  

Room Session:Exhibition Hall:S8 & S9  

Institution:MSKCC  

Deep learning framework for accelerating revised-NODDI parameter estimation with tensor-valued diffusion encoding

Author:Michele Guerreri  Hojjat Azadbakht  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2527  

Room Session:Exhibition Hall:S8 & S9  

Institution:AINOSTICS  University College London  

Fast and High-Resolution T2* weighted and susceptibility-based MRI using 3D-EPI with Deep Learning Reconstruction

Author:Brice Fernandez  R. Marc Lebel  Xinzeng Wang  Arnaud Guidon  Suchandrima Banerjee  Stefan Skare  Tim Sprenger  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2522  

Room Session:Exhibition Hall:S8 & S9  

Institution:GE Healthcare  Karolinska University Hospital  Karolinska Institutet  

Fully Connected Deep Neural Network combined with Segmented Least Square Fitting for improved extraction of IVIM Parameters

Author:Alfonso Mastropietro  Elisa Scalco  Daniele Procissi  Nicola Bertolino  Giovanna Rizzo  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2525  

Room Session:Exhibition Hall:S8 & S9  

Institution:Consiglio Nazionale delle Ricerche  Northwestern University  

Improved detection of multiple kidney pH compartments by deep learning in MRS and MRSI with hyperpolarized 13C-labelled zymonic acid

Author:Martin Grashei  Wai-Yan Ryana Fok  Jason Skinner  Bjoern Menze  Franz Schilling  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2526  

Room Session:Exhibition Hall:S8 & S9  

Institution:Technical University of Munich  TUM School of Medicine, Klinikum Rechts der Isar, Technical University of Munich  

Investigating complex-valued neural networks applied to phase-cycled bSSFP for multi-parametric quantitative tissue characterization

Author:Florian Birk  Julius Steiglechner  Klaus Scheffler  Rahel Heule  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2532  

Room Session:Exhibition Hall:S8 & S9  

Institution:Max Planck Institute for Biological Cybernetics  University of Tübingen  

Predicting PDFF and R2* from Magnitude-Only Two-Point Dixon MRI Using Generative Adversarial Networks

Author:Nicolas Basty  Marjola Thanaj  Madeleine Cule  Elena Sorokin  E. Thomas  Jimmy Bell  Brandon Whitcher  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2521  

Room Session:Exhibition Hall:S8 & S9  

Institution:Calico Life Sciences LLC  University of Westminster  

Prior-knowledge MRS Metabolite Quantification using Deep Learning Frameworks: A proof-of-concept

Author:Federico Turco  Johannes Slotboom  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2523  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Diagnostic and Interventional Neuroradiology  

Quantitative MRI parameter estimation with supervised deep learning: MLE-derived labels outperform groundtruth labels

Author:Sean Epstein  Timothy Bray  Margaret Hall-Craggs  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2530  

Room Session:Exhibition Hall:S8 & S9  

Institution:University College London  

Revised-NODDI with conventional dMRI data enabled by deep learning

Author:Michele Guerreri  Hojjat Azadbakht  Hui Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2528  

Room Session:Exhibition Hall:S8 & S9  

Institution:AINOSTICS  University College London  

SUPER-IVIM-DC, A supervised deep-learning with data consistency approach for IVIM model parameter estimation from Diffusion-Weighted MRI data

Author:Elad Rotman  Onur Afacan  Sila Kurugol  Simon Warfield  Moti Freiman  

Session Type:Digital Poster  

Session Date:Thursday, 12 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quantitative Imaging I  

Program Number:2531  

Room Session:Exhibition Hall:S8 & S9  

Institution:Harvard Medical School  Technion-IIT