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Clinical evaluation of an AI-accelerated two-minute multi-shot EPI protocol for comprehensive high-quality brain imaging

Author:Bryan Clifford  John Conklin  Susie Huang  Thorsten Feiweier  Zahra Hosseini  Augusto Goncalves Filho  Azadeh Tabari  Serdest Demir  Wei-Ching Lo  Maria Longo  Michael Lev  Pam Schaefer  Otto Rapalino  Kawin Setsompop  Berkin Bilgic  Stephen Cauley  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0661  

Room Session:Concurrent 6  

Institution:A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School  Massachusetts General Hospital  Siemens Healthcare GmbH  Siemens Medical Solutions USA, Inc.  Stanford University  

A deep learning approach to estimate voxelwise cardiac-related brain pulsatility from BOLD MRI

Author:Nicholas Luciw  William Cameron  Andrew Robertson  Sarah Atwi  Bradley Macintosh  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0659  

Room Session:Concurrent 6  

Institution:Sunnybrook Research Institute  University of Toronto  University of Waterloo  

Deep learning based prediction of H3K27M mutation in midline gliomas on multimodal MRI

Author:Priyanka Tupe Waghmare  Piyush Malpure  Manali Jadhav  Abhilasha Indoria  Richa Singh Chauhan  Subhas Konar  Vani Santosh  Jitender Saini  Madhura Ingalhalikar  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0664  

Room Session:Concurrent 6  

Institution:National Institute of Mental Health & Neurosciences  National Institute of Mental Health and Neurosciences  Symbiosis Center for Medical Image Analysis  Symbiosis Center for Medical Image Analysis and Symbiosis Institute of Technology  Symbiosis Institute of Technology  

Deep Learning-based Automatic Detection and Segmentation of Brain Metastases Using Multi-Task Learning with 3D Black-Blood and GRE Imaging

Author:Yohan Jun*  Yae Won Park*  Yangho Lee  Kyunghwa Han  Chansik An  Seung-Koo Lee  Sung Soo Ahn**  Dosik Hwang**  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0662  

Room Session:Concurrent 6  

Institution:National Health Insurance Service Ilsan Hospital  Yonsei University  Yonsei University College of Medicine  

Machine Learning Evaluation of the Effects of Prematurity on Regional BOLD Resting-State Activity and Connectivity, and T1-w Brain Volumes.

Author:Antonio Chiarelli  Carlo Sestieri  Daniele Mascali  Richard Wise  Massimo Caulo  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0660  

Room Session:Concurrent 6  

Institution:University G. D'Annunzio of Chieti Pescara  

Radio-pathomic models trained with autopsy tissue samples aligned to MP-MRI predict histopathological features in brain cancer patients.

Author:Samuel Bobholz  Allison Lowman  Michael Brehler  Savannah Duenweg  Fitzgerald Kyereme  Elizabeth Cochran  Jennifer Connelly  Wade Mueller  Mohit Agarwal  Darren O'Neill  Anjishnu Banerjee  Peter LaViolette  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0663  

Room Session:Concurrent 6  

Institution:Medical College of Wisconsin