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Accelerating High b-Value DWI Acquisition Using a Convolutional Recurrent Neural Network

Author:Zheng Zhong  Kanghyun Ryu  Jae Eun Song  Janhavi Singhal  Guangyu Dan  Kaibao Sun  Shreyas Vasanawala  Xiaohong Zhou  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:New Deep/Machine Learning Techniques  

Program Number:0683  

Room Session:S11 (Breakout A)  

Institution:Homestead High School  Stanford University  University of Illinois at Chicago  

BladeNet: Rapid PROPELLER Acquisition and Reconstruction for High spatio-temporal Resolution Abdominal MRI

Author:Efrat Shimron  Alfredo De Goyeneche  Ke Wang  Alma Halgren  Ali Syed  Shreyas Vasanawala  Michael Lustig  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:New Deep/Machine Learning Techniques  

Program Number:0684  

Room Session:S11 (Breakout A)  

Institution:Stanford  UC Berkeley  

ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization

Author:Stenzel CACKOWSKI  Emmanuel Barbier  Michel Dojat  Thomas Christen  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:New Deep/Machine Learning Techniques  

Program Number:0681  

Room Session:S11 (Breakout A)  

Institution:Grenoble Institut of Neurosciences  

Simulated fMRI responses using human Vascular Anatomical Network models with varying architecture and dynamics

Author:Grant Hartung  Joerg Pfannmoeller  Avery Berman  Jonathan Polimeni  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:New Deep/Machine Learning Techniques  

Program Number:0682  

Room Session:S11 (Breakout A)  

Institution:Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital  Department of Radiology, Harvard Medical School  Division of Health Sciences and Technology, Massachusetts Institute of Technology  

Uncertainty estimation via ensembling for deep learning-based MR image reconstruction

Author:Tobias Hepp  Sergios Gatidis  Kerstin Hammernik  Thomas Küstner  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 21: Machine Learning and Artificial Intelligence  

Session Name:New Deep/Machine Learning Techniques  

Program Number:0685  

Room Session:S11 (Breakout A)  

Institution:Technical University of Munich  University Hospital of Tuebingen  Imperial College London  Max Planck Institute for Intelligent Systems