Age prediction from time-of-flight MR angiography using deep learning: Comparison of the predicted age among normal, MCI and AD.

Author:Hunjin Chung  Yoonho Nam  KoungMi Kang  Chul-Ho Sohn  KangHyun Ryu  Jinhee Jang  Dong-Hyun Kim  

Institution:Seoul National University Hospital  Seoul St. Mary’s Hospital  Yonsei University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2830  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 9  

Application of a Clinically Viable Deep-Learning-Based QSM Workflow on Stroke Cases

Author:Juan Liu  Kevin Koch  

Institution:Marquette University and Medical College of Wisconsin  Medical College of Wisconsin  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2829  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 8  

Applying Unsupervised Machine Learning Techniques to Resting-State BOLD Multicenter Neuroimaging of Pre-adolescent Complex Congenital Heart Disease Patients to Enhance Image Harmonization and Predict Motion Artifact Characteristics

Author:Jenna Schabdach  Vincent Schmithorst  Vince Lee  Rafael Ceschin  Ashok Panigrahy  

Institution:University of Pittsburgh  UPMC Children's Hospital of Pittsburgh  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2838  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 17  

Automated brain extraction of multi-sequence MRI using artificial neural networks

Automated Prediction of Stroke Lesion Outcome using Multiparametric Deep Neural Network

Automatic classification of early-onset neurodegenerative dementia patients using artificial neural networks

Automatic Dentate Nuclei Segmentation based on Quantitative Susceptibility Maps using a Convolutional Neural Network: Application to Healthy Controls and Cerebellar Ataxia Patients

Cohort Stratification by Clinical Symptoms through Unsupervised Learning Reveals Metabolic and Microstructural Brain Alterations in Former American Football Players

Combined Use of Gray Matter Volume and Quantitative Susceptibility Mapping to Predict Early Alzheimer’s Disease Using a Machine Learning-based Optimized Combination-Feature Set

Deep Learning for Characterizing Image Sequence Significance in Brain Tissue Segmentation

Author:IVAN CORONADO  REFAAT GABR  SUSHMITTA DATTA  SHEEBA SUJIT  FRED LUBLIN  JERRY WOLINSKY  PONNADA NARAYANA  

Institution:Icahn School of Medicine at Mount Sinai  University of Texas Health Science Center  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2846  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 25  

Deep Learning with Synthetic Diffusion-Weighted Images for Acute Ischemic Stroke Detection

Deep Learning-based Detection of DSC-Defined Penumbral Tissue on pCASL in Acute Ischemic Stroke

Author:Kai Wang  Qinyang Shou  Samantha Ma  David Liebeskind  Xin Qiao  Fabien Scalzo  Jeffrey Saver  Noriko Salamon  Danny Wang  

Institution:UCLA  University of Southern California  Shanghai Jiaotong University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2831  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 10  

Deep Neural Network based Feature Selection in rs-fMRI Brain Functional Connectivity

Author:Gengyan Zhao  Gyujoon Hwang  Cole Cook  Fang Liu  Mary Meyerand  Rasmus Birn  

Institution:University of Wisconsin - Madison  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2822  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 1  

Estimating the Age of Healthy Children Based on Myelination Pattern in Brain MRI using a Deep Learning Neural Network Method

Author:Yuya Saito  Akihiko Wada  Masaaki Hori  Koji Kamagata  Shigeki Aoki  

Institution:Graduate School of Human Health Sciences, Tokyo Metropolitan University  Juntendo University Graduate School of Medicine  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2837  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 16  

Exploiting Heterogeneous Data for Automatic Classification of Multiple Sclerosis Clinical Forms through Neural Networks

Machine Learning Approach Assisted MRI Characterization for Diagnosis of Neonatal Bilirubin Encephalopathy

Prediction of Chronological Age from Routine T2-weighted Spin-echo Brain Magnetic Resonance Images by Deep Convolutional Neural Network

Author:Inpyeong Hwang  Hyeonjin Kim  Ji-hoon Kim  

Institution:Seoul National University Hospital  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2843  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 22  

Quad-contrast imaging with deep learning-powered reconstruction: 2-minute neuro-evaluation

Author:Sooyeon Ji  Doohee Lee  Se-Hong Oh  Jongho Lee  

Institution:Hankuk University of Foreign Studies  Seoul National University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2827  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 6  

Radiomics and machine learning analysis of brain lesions in MOG-ab-positive and AQP4-ab-positive patients

Author:Liqin Yang  Wei Xia  Haiqing Li  Daoying Geng  Yuxin Li  

Institution:Fudan University  Huashan Hospital, Fudan University  Huashan Hospital, Fudan University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2832  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 11  

Segmentation of Diffuse White Matter Abnormality in Preterm Infants using Deep Learning

Standardization of MRI as Pre-Processing Method for Machine Learning Based Segmentation

Author:Robert Wujek  Kathleen Schmainda  

Institution:The Medical College of Wisconsin  Marquette University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2833  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 12  

Structural changes in auditory and language-processing cortices and thalamus are predictors of word recognition ability after cochlear implantation

Author:Zhe Sun  Ji Won Seo  Jee Yeon Lee  Min Young Kwak  Yehree Kim  Je Yeon Lee  Hong Ju Park  Hosung Kim  

Institution:Asan Medical Center  University of Souther California  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2845  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 24  

The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging

Ultrafast Brain Segmentation using a 3D Fully Convolutional Neural Network for Risk Stratification of Cognitive Impairment and Dementia

Author:Jian Wu  Alex Graff  Jason Deckman  Dmitry Tkach  Hyun-Kyung Chung  Natalie Schenker-Ahmed  David Karow  Christine Swisher  

Institution:Human Longevity, Inc.  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Artificial Intelligence Is Taking Over Your Brain 1  

Program Number:2824  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 3