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Brain tissues have single-voxel signatures in multi-spectral MRI

Author:Alexander German  Angelika Mennecke  Jan Martin  Jannis Hanspach  Andrzej Liebert  Jürgen Herrler  Tristan Anselm Kuder  Manuel Schmidt  Armin Nagel  Michael Uder  Arnd Dörfler  Jürgen Winkler  Moritz Zaiss  Frederik Laun  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3248  

Room Session:Concurrent 6  

Institution:German Cancer Research Center  Lund University  University Hospital Erlangen  Max Planck Institute for Biological Cybernetics  

Classification Between Epilepsy Patients and Healthy Controls Using Multi-Modal Structure-Function Brain Network

Author:Yael Jacob  Gaurav Verma  Lara Marcuse  Madeline Fields  Priti Balchandani  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3245  

Room Session:Concurrent 6  

Institution:Icahn School of Medicine at Mount Sinai  

A comparative study between multi-view 2D CNN and multi-view 3D anisotropic CNN for brain tumor segmentation

Author:Ritu Lahoti  Lakshay Agarwal  Neelam Sinha  Vinod Reddy  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3261  

Room Session:Concurrent 6  

Institution:International Institute of Information Technology Bangalore (IIITB)  

Deep Image Synthesis for Extraction of Vascular and Gray Matter Metrics

Author:Farnaz Orooji  Xinyang Wang  Mohammed Ayoub Alaoui Mhamdi  Russell Butler  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3253  

Room Session:Concurrent 6  

Institution:Bishop's University  

Deep Learning Approach for Lumbosacral Plexus Segmentation from Magnetic Resonance Neurography: Initial Study

Author:Jian Wang  Guohui Ruan  Yingjie Mei  Yanjun Chen  Jialing Chen  Yanqiu Feng  Xiaodong Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3249  

Room Session:Concurrent 6  

Institution:Philips Healthcare  Southern Medical University  The Third Affiliated Hospital of Southern Medical University  

Deep learning based high resolution IVIM parameter mappingin lacunar infarction patients

Author:Hui Zhang  Junqi Xu  Xutong Kuang  Shuai Xu  Xuchen Yu  Weibo Chen  Chengyan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3255  

Room Session:Concurrent 6  

Institution:Fudan University  Philips Healthcare  

Deep-learning-based noise reduction incorporating inhomogeneous spatial distribution of noise in parallel MRI imaging

Author:Atsuro Suzuki  Chizue Ishihara  Yukio Kaneko  Tomoki Amemiya  Yoshitaka Bito  Toru Shirai  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3264  

Room Session:Concurrent 6  

Institution:Hitachi, Ltd.  

Defacing and Refacing Brain MRI Using a Cycle Generative Adversarial Network

Author:Zuojun Wang  Peng Xia  Wenming Cao  Kui Kai, Gary Lau  Henry Ka Fung Mak  Peng Cao  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3252  

Room Session:Concurrent 6  

Institution:Department of Diagnostic Radiology, HKU  

Diagnosis of Parkinson's disease using a radiomics approach based on STrategically Acquired Gradient Echo (STAGE)

Author:Yi Duan  Yida Wang  Naying He  Yan Li  Zenghui Cheng  Yu Liu  Zhijia Jin  Pei Huang  Shengdi Chen  Ewart Mark Haacke  Fuhua Yan  Guang Yang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3258  

Room Session:Concurrent 6  

Institution:East China Normal University, Shanghai Key Laboratory of Magnetic Resonance  Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine  Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine  Department of Biomedical Engineering, Wayne State University  

Differentiating hemorrhage and vasculature ITSS in SWI-magnitude images in intracranial Glioma: machine-learning and radiomic based approach

Author:Rupsa Bhattacharjee  Rakesh Kumar Gupta  Suhail Parvaze  Rana Patir  Sandeep Vaishya  Sunita Ahlawat  Anup Singh  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3250  

Room Session:Concurrent 6  

Institution:Fortis Memorial Research Institute  Indian Institute of Technology (IIT) Delhi  Philips Innovation Campus  SRL Diagnostics  All India Institute of Medical Sciences  Philips India Limited  

Importance of Clinical MRI Features in Predicting Epilepsy Drug Treatment Outcome for Pediatric Tuberous Sclerosis Complex

Author:Jun Yang  Cailei Zhao  Shi Su  Zhanqi Hu  Jianxiang Liao  Dong Liang  Haifeng Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3247  

Room Session:Concurrent 6  

Institution:Shenzhen Children’s Hospital  Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences  University of Chinese Academy of Sciences  

Machine Learning Automatic Segmentation of Spinal Cord Lesions in Multiple Sclerosis Patients

Author:Peter Hsu  Sindhuja Govindarajan  Nikhil Chettipally  Lev Bangiyev  Robert Peyster  Giuseppe Cruciata  Patricia Coyle  Haifang Li  Hasan Saffiudin  Ryan Merritt  Eric Wei  Almighty Ironnah  Kwan Chen  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3262  

Room Session:Concurrent 6  

Institution:Stony Brook University  Stony Brook University Hospital  

Neural Network for Autonomous Segmentation and Volumetric Assessment of Clot and Edema in Intracerebral Hemorrhages

Author:Thomas Lilieholm  Matt Henningsen  Azam Ahmed  Alan McMillan  Walter Block  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3260  

Room Session:Concurrent 6  

Institution:University of Wisconsin at Madison  

No-Reference Quality Assessment of MRIs for Clinical Application

Author:Ke Lei  Shreyas Vasanawala  John Pauly  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3246  

Room Session:Concurrent 6  

Institution:Stanford University  

Outcome prediction in Mild Traumatic Brain Injury patients using conventional and diffusion MRI via Support Vector Machine: A CENTER-TBI study

Author:Maira Siqueira Pinto  Stefan Winzeck  Marta Correia  Evgenios Kornaropoulos  David Menon  Ben Glocker  Arnold J. den Dekker  Jan Sijbers  Pieter-Jan Guns  Pieter Van Dyck  Virginia Newcombe  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3256  

Room Session:Concurrent 6  

Institution:Imperial College London  University of Antwerp  University of Cambridge  UZA - Antwerp University Hospital  Lund University  

Prognostic value of MR imaging features derived from automatic segmentation in glioblastoma

Author:Quan Dou  Xue Feng  Sohil Patel  Craig Meyer  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3259  

Room Session:Concurrent 6  

Institution:University of Virginia  

Reduction of J-difference Edited Magnetic Resonance Spectroscopy Acquisition Times Using Deep Learning

Author:Roberto Souza  Jordan McEwen  Carissa Chung  Ashley Harris  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3251  

Room Session:Concurrent 6  

Institution:University of Calgary  Hotchkiss Brain Institute  

Substantia Nigra Abnormalities in Early Parkinson's Disease Patients using Convolutional Neural Networks in Neuromelanin MRI

Author:Rahul Gaurav  Romain Valabregue  Nadya Pyatigorskaya  Lydia Yahia-Cherif  Emma Biondetti  Graziella Mangone  R. Matthew Hutchison  Jean-Christophe Corvol  Marie Vidailhet  Stephane Lehericy  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3254  

Room Session:Concurrent 6  

Institution:APHP, Pitié-Salpêtrière Hospital  Biogen Inc.  ICM Paris  INSERM, Clinical Investigation Center for Neurosciences, Pitié-Salpêtrière Hospital  Paris Brain Institute (ICM), Sorbonne University, UPMC Univ Paris 06, Inserm U1127, CNRS UMR 7225  ICM Team “Movement Investigations and Therapeutics” (MOV’IT)  Pitié-Salpêtrière Hospital, AP-HP  

Synthesize Quantitative Susceptibility Mapping from Susceptibility Weighting Imaging Using a Cycle Generative Adversarial Network

Author:Zuojun Wang  Peng Xia  Henry Ka Fung Mak  Peng Cao  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3257  

Room Session:Concurrent 6  

Institution:Department of Diagnostic Radiology, HKU  

What we can learn from adults: Usability of two AI algorithms for Brain and tumor segmentation in a pediatric population.

Author:Maxime DRAI  Gilles Brun  Nadine Girard  Benoit TESTUD  Jan-Patrick Stellmann  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:New Frontiers of AI in Neuroimaging  

Program Number:3263  

Room Session:Concurrent 6  

Institution:APHM  Aix-Marseille Université