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4D flow MRI hemodynamic quantification of pediatric patients with multi-site, multi-vender, and multi-channel machine learning segmentation

Author:Takashi Fujiwara  Haben Berhane  Michael Scott  Zachary King  Michal Schafer  Brian Fonseca  Joshua Robinson  Cynthia Rigsby  Lorna Browne  Michael Markl  Alex Barker  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3267  

Room Session:Concurrent 6  

Institution:Children's Hospital Colorado, University of Colorado Anschutz Medical Campus  Lurie Children's Hospital of Chicago  Northwestern University  University of Colorado Anschutz Medical Campus  

Automatic Prediction of MGMT and IDH Genotype for Gliomas from MR Images via Multi-task Deep Learning Network

Author:Xiaoyuan Hou  Hui Zhang  Yan Tan  Zhenchao Tang  Jie Tian  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3284  

Room Session:Concurrent 6  

Institution:Beijing Advanced Innovation Center for Big Data-Based Precision Medicine(BDBPM) ,Beihang University,100083  Department of Radiology, First Clinical Medical College, Shanxi Medical University,030001  Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences,100190  

Automatic segmentation of arterial vessel wall on undersampled MR image using deep learning

Author:Shuai Shen  Xiong Yang  Jin Fang  Guihua Jiang  Shuheng Zhang  Yanqun Teng  Xiaomin Ren  Lele Zhao  Jiayu Zhu  Qiang He  Hairong Zheng  Xin Liu  Na Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3269  

Room Session:Concurrent 6  

Institution:Department of Radiology, Guangdong Second Provincial General Hospital  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Shanghai United Imaging Healthcare Co., Ltd.  College of Software, Xinjiang University  Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Automatic Vascular Function Estimation using Deep Learning for Dynamic Contrast-enhanced Magnetic Resonance Imaging

Author:Wallace Souza Loos  Roberto Souza  Linda Andersen  R. Marc Lebel  Richard Frayne  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3270  

Room Session:Concurrent 6  

Institution:Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary  Seaman Family MR Research Centre, Foothills Medical Centre  Electrical and Computer Engineering, Hotchkiss Brain Institute, University of Calgary  General Electric Healthcare  

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  

Classification of Pediatric Posterior Fossa Tumors using Convolutional Neural Network and Tabular Data

Author:Moran Artzi  Erez Redmard  Oron Tzemach  Jonathan Zeltser  Omri Gropper  Jonathan Roth  Ben Shofty  Danil A. Kozyrev  Shlomi Constantini  Liat Ben-Sira  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0602  

Room Session:Concurrent 6  

Institution:Tel Aviv Sourasky Medical Center  Tel Aviv University  

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)  

CT-to-MR image synthesis: A generative adversarial network-based method for detecting hypoattenuating lesions in acute ischemic stroke

Author:Na Hu  Tianwei Zhang  Yifan Wu  Biqiu Tang  Minlong Li  Qiyong Gong  Shi Gu  Su Lui  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0599  

Room Session:Concurrent 6  

Institution:University of Electronic Science and Technology of China  University of Pennsylvania  West China Hospital of Sichuan University  

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 Segmentation of Lenticulostriate Arteries Using 3T and 7T 3D Black-Blood MRI

Author:Samantha Ma  Mona Sharifi Sarabi  Kai Wang  Wenli Tan  Huiting Wu  Lei Hao  Yulan Dong  Hong Zhou  Lirong Yan  Yonggang Shi  Danny Wang  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0603  

Room Session:Concurrent 6  

Institution:Siemens Medical Solutions USA, Inc.  The First Affiliated Hospital of University of South China  University of Southern California  

Deep learning super-resolution for sub-50-micron MRI of genetically engineered mouse embryos

Author:Zihao Chen  Yuhua Chen  Ankur Saini  William Devine  Yibin Xie  Cecilia Lo  Debiao Li  Yijen Wu  Anthony Christodoulou  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0601  

Room Session:Concurrent 6  

Institution:Cedars-Sinai Medical Center  University of Pittsburgh  UCLA  

Deep Learning-based high-resolution pseudo-CT to detect cranial bone abnormalities for pediatric patients using MRI

Author:Parna Eshraghi Boroojeni  Yasheng Chen  Paul Commean  Cihat Eldeniz  Udayabhanu Jammalamadaka  Gary Skolnick  Kamlesh Patel  Hongyu An  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0607  

Room Session:Concurrent 6  

Institution:Washington University in St. Louis  

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  

Delineating parkinsonian disorders using T1-weighted MRI based radiomics

Author:Priyanka Tupe Waghmare  Archith Rajan  Shweta Prasad  Jitender Saini  Pramod Kumar Pal  Madhura Ingalhalikar  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3268  

Room Session:Concurrent 6  

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

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  

Disability Prediction in Multiple Sclerosis using Ensemble of Machine Learning Models and DTI Brain Connectivity

Author:Berardino Barile  Aldo Marzullo  Claudio Stamile  Françoise Durand-Dubief  Dominique Sappey-Marinier  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0604  

Room Session:Concurrent 6  

Institution:CGnal  Hospices Civils de Lyon  Université Claude Bernard Lyon 1  University of Calabria  CERMEP - Imagerie du Vivant  

Distribution indices of QSM values in M1 enable to classify ALS patients and healthy controls

Author:Mauro Costagli  Graziella Donatelli  Paolo Cecchi  Gabriele Siciliano  Mirco Cosottini  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3266  

Room Session:Concurrent 6  

Institution:Azienda Ospedaliero Universitaria Pisana  IMAGO 7 Research Foundation  University of Genova  University of Pisa  IRCCS Stella Maris  

Early prediction of progression free survival and overall survival of patients with glioblastoma using machine learning and multiparametric MRI

Author:Nate Tran  Tracy Luks  Devika Nair  Angela Jakary  Yan Li  Janine Lupo  Javier Villanueva-Meyer  Nicholas Butowski  Jennifer Clarke  Susan Chang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3273  

Room Session:Concurrent 6  

Institution:University of California, San Francisco  UCSF/UC Berkeley Graduate Program in Bioengineering  

EVALUATION OF A CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATED SEGMENTATION OF LOW-GRADE GLIOMAS

Author:Margaux Verdier  Justine Belko  Jeremy Deverdun  Nicolas Menjot de Champfleur  Thomas Troalen  Bénédicte Maréchal  Emmanuelle Le Bars  Till Huelnhagen  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3282  

Room Session:Concurrent 6  

Institution:Advanced Clinical Imaging Technology, Siemens Healthcare AG  I2FH , Neuroradiology, CHU Montpellier, Montpellier University, France  Siemens Healthcare  Laboratoire Charles Coulomb, University of Montpellier, France  LTS5, Ecole Polytechnique Fédérale de Lausanne  Radiology Department, Lausanne University Hospital and University of Lausanne, Switzerland  

Exploring Brain Regions Involved in Working Memory using Interpretable Deep Learning

Author:Mario Serrano-Sosa  Jared Van Snellenberg  Chuan Huang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3274  

Room Session:Concurrent 6  

Institution:Renaissance School of Medicine at Stony Brook University  Stony Brook University  

The feasibility of an optimized Faster R-CNN in detection and differentiation HT from PTMC Using high b-value DWI with RESOLVE

Author:ChengLong Deng  BingChao Wu  QingJun Wang  Qinglei Shi  Bei Guan  DaCheng Qu  YongJi Wang*  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0605  

Room Session:Concurrent 6  

Institution:Collaborative Innovation Center, Institute of Software, Chinese Academy of Sciences  Department of Radiology, PLA 6th medical center  MR Scientific Marketing, Siemens Healthcare  School of Computer Science and Technology, Beijing Institute of Technology  State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences  University of Chinese Academy of Sciences  

Identification of diffusion-based micro-structural measures most sensitive to multiple sclerosis focal damage using GAMER-MRI

Author:Po-Jui Lu  Muhamed Barakovic  Matthias Weigel  Reza Rahmanzadeh  Riccardo Galbusera  Simona Schiavi  Alessandro Daducci  Francesco La Rosa  Meritxell Bach Cuadra  Robin Sandkühler  Jens Kuhle  Ludwig Kappos  Philippe Cattin  Cristina Granziera  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0606  

Room Session:Concurrent 6  

Institution:Ecole Polytechnique Fédérale de Lausanne  University Hospital Basel and University of Basel  University of Basel  University of Verona  University of Lausanne  Lausanne University Hospital and University of Lausanne  University Hospital Basel  

Identifying Diffuse Intrinsic Pontine Glioma (DIPG) Subtypes via Radiomic Approaches

Author:Silu Zhang  Zoltan Patay  Bogdan Mitrea  Angela Edwards  Lydia Makepeace  Matthew Scoggins  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0600  

Room Session:Concurrent 6  

Institution:Activ Surgical  St. Jude Children's Research Hospital  

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  

Improved Outcome prediction in mild Traumatic Brain Injury using Latent Feature Extraction from Volumetric MRI

Author:Sanjay Purushotham  Ashwathy Sureshkumar  Li Jiang  Shiyu Tang  Steven Roys  Chandler Rhodes  Rao Gullapalli  Jiachen Zhuo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3276  

Room Session:Concurrent 6  

Institution:University of Maryland School of Medicine  University of Maryland, Baltimore County  Walter Reed National Military Medical Center  

IMPROVING THE CONTRAST OF CEREBRAL MICROBLEEDS ON T2*-WEIGHTED IMAGES USING DEEP LEARNING

Author:Ozan Genc  Sivakami Avadiappan  Yicheng Chen  Christopher Hess  Janine Lupo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3283  

Room Session:Concurrent 6  

Institution:Facebook Inc.  University of California San Francisco  

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  

MRI-ASL Perfusion patterns may predict deep brain stimulation outcome in de novo Parkinson's Disease

Author:Hanyu Wei  Le He  Rongsong Zhou  Shuo Chen  Miaoqi Zhang  Wenwen Chen  Xuesong Li  Yu Ma  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3278  

Room Session:Concurrent 6  

Institution:School of Computer Science and Technology, Beijing Institute of Technology  Tsinghua University  Tsinghua University Yuquan Hospital  

Multi-layer backpropagation of classification information with Grad-CAM to enhance the interpretation of deep learning models

Author:Daphne Hong  Yunyan Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3275  

Room Session:Concurrent 6  

Institution:University of Calgary  

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  

A Nomogram Strategy for Identifying the Subclassification of IDH1 Mutation and ATRX Expression Loss in in Low-Grade Gliomas

Author:Shiman Wu  Xi Zhang  Zhenwei Yao  YONG ZHANG  Tianming Qiu  Yan Ren  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3272  

Room Session:Concurrent 6  

Institution:Fourth Military Medical University  GE Healthcare  Huashan Hospital, Fudan University  

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  

Pattern-based features extraction algorithm in the diagnosis of neurodegenerative diseases from diffusion MRI

Author:Sung-han Lin  Chih-Chien Tsai  Yi-Chun Chen  Jiun-Jie Wang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3271  

Room Session:Concurrent 6  

Institution:Chang Gung Memorial Hospital Linkou Medical Center  Chang-Gung University  Chang Gung University  

Prediction of iron rim lesions in multiple sclerosis using convolutional neural networks and multi-contrast 7T MRI data

Author:René Schranzer  Steffen Bollmann  Simon Hametner  Christian Menard  Siegfried Trattnig  Fritz Leutmezer  Paulus Stefan Rommer  Thomas Berger  Assunta Dal-Bianco  Günther Grabner  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3277  

Room Session:Concurrent 6  

Institution:Carinthia University of Applied Sciences  High Field Magnetic Resonance Centre  Medical University of Vienna  The University of Queensland  

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  

Stacked hybrid learning U-NET for segmentation of multiple articulators in speech MRI

Author:SUBIN ERATTAKULANGARA  KARTHIKA KELAT  Junjie Liu  Sajan Lingala  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3280  

Room Session:Concurrent 6  

Institution:Government Engineering College Kozhikode  University of Iowa  

Stratifying ischaemic stroke patients across 3 treatment windows using T2 relaxation times, ordinal regression and cumulative probabilities

Author:Bryony McGarry  Elizabeth Hunter  Robin Damion  Michael Knight  Philip Clatworthy  George Harston  Keith Muir  Risto Kauppinen  John Kelleher  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3265  

Room Session:Concurrent 6  

Institution:North Bristol NHS Trust  Technological University Dublin  University of Bristol  University of Glasgow  University of Oxford  

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  

A unsupervised machine learning approach for classification of white matter hyperintensity patterns applied to Systemic Lupus Erythematosus.

Author:Theodor Rumetshofer  Francesca Inglese  Jeroen de Bresser  Peter Mannfolk  Olof Strandberg  Markus Nilsson  Itamar Ronen  Andreas Jönsen  Linda Knutsson  Tom Huizinga  Gerda Steup-Beekman  Pia Sundgren  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

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

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

Program Number:0608  

Room Session:Concurrent 6  

Institution:Leiden University Medical Center  Lund University  Lund University, Skåne University Hospital  Skåne University Hospital  Johns Hopkins University School of Medicine  

Use scout models for effective dimension reduction and feature selection in radiomics study

Author:Yibo Dan  Hongyue Tao  Yida Wang  Chengxiu Zhang  Chenglong Wang  Shuang Chen  Guang Yang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3281  

Room Session:Concurrent 6  

Institution:Department of Radiology, Huashan Hospital, Fudan University  Shanghai Key Laboratory of Magnetic Resonance, East China Normal University  

Using MRI and Radiomics to Predict Pain in a Cohort of Trigeminal Neuralgia Patients Treated With Radiosurgery

Author:Kellen Mulford  Sean Moen  Andrew Grande  Donald Nixdorf  Pierre-Francois Van de Moortele  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

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

Session Name:Explorations of AI in Neuroimaging  

Program Number:3279  

Room Session:Concurrent 6  

Institution:University of Minnesota  

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