3D Convolutional Networks to predict Total Knee Replacement using Structural MRI

Analyzing multi-exponential T2 decay data using a neural network

Author:Hanwen Liu  Roger Tam  John Kramer  Cornelia Laule  

Institution:University of British Columbia  International Collaboration on Repair Discoveries  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4886  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 168  

Automatic detection of age- and sex-related differences in human brain morphology

Characterizing MRI Biomarkers for Conversion Prediction of Preclinical Mild Cognitive Impairment

Deep Learning with a Novel Surface Feature for Fully Automatic Quantification of Lesion Hyperintensities in Multiple Sclerosis

Author:Peter Adany  In-Young Choi  Scott Belliston  Jong Chul Ye  Sharon Lynch  Phil Lee  

Institution:Korea Advanced Institute of Science & Technology  University of Kansas Medical Center  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4892  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 174  

Deep neural network processing of original DCE-MRI data for survival prediction

Author:Junyu Guo  Wilburn Reddick  

Institution:St Jude Children's Research Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4877  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 159  

Deep Predictive Modeling of Dynamic Contrast-Enhanced MRI Data

Author:Jiacheng Jason He  Christopher Sandino  Shreyas Vasanawala  Joseph Cheng  

Institution:Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4874  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 156  

DeepSPIO: A SPIO particles quantification method using Deep Learning

Detection of White Matter Hyperintensities using Ensemble 3D Deep Learning Networks

Author:Lavanya Umapathy  Gloria Guzman  Jose Rosado-Toro  Gokhan Kuyumcu  Maria Altbach  Blair Winegar  Craig Weinkauf  Ali Bilgin  

Institution:university of arizona  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4879  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 161  

Diagnosis of Multiple Sclerosis Subtype through Machine Learning Analysis of Frontal Cortex Metabolite Profiles

Differentiation of Osteosarcoma and Ewing Sarcoma Using Radiomic AnalysisBased on T2 and CET1 MRI

Author:Yi Dai  Nan Hong  Guanxun Cheng  

Institution:Peking University People's Hospital  Peking University Shenzhen Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4872  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 154  

Enhance One-minute EPIMix Brain MRI Exams with Unsupervised Cycle-Consistent Generative Adversarial Network

Author:Jiang Liu  Enhao Gong  Stefan Skare  Greg Zaharchuk  

Institution:Karolinska Institutet  Stanford University  Tsinghua University  Tsinghua University  Subtle Medical Inc.  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4885  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 167  

Feature Reduction and Selection: a Study on their Importance in the Context of Radiomics

Author:Annika Liebgott  Janik Steyer-Ege  Tobias Hepp  Thomas Küstner  Konstantin Nikolaou  Bin Yang  Sergios Gatidis  

Institution:King's College London/St Thomas' Hospital  University Hospital of Tuebingen  University of Stuttgart  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4869  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 151  

Fully Automated 3D Body Composition Using Fully Convolutional Neural Networks and DIXON Imaging

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

Institution:Human Longevity, Inc  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4889  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 171  

Generated data can boost the recognition performance for Intervertebral disc herniation

Author:Fei Gao  Shui Liu  Xiaodong Zhang  Jue Zhang  Xiaoying Wang  

Institution:Peking University  Peking University  Peking University First Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4873  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 155  

Harmonization of Longitudinal MRI Scans in the Presence of Scanner Changes

Author:Blake Dewey  Can Zhao  Aaron Carass  Jiwon Oh  Peter Calabresi  Peter van Zijl  Jerry Prince  

Institution:Johns Hopkins University  Johns Hopkins University  Kennedy Krieger Institute   Kennedy Krieger Institute  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4891  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 173  

Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics model based on T2-weighted and diffusion-weighted MRI

Author:Tao Wang  Tingting Gao  Liyu Huang  Ming Zhang  

Institution:First Affiliated Hospital of Xi’an Jiaotong University  Shaanxi Provincial People's Hospital  Xidian University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4870  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 152  

Proving b1000 DWI has performance advantage to classify low and high risk Gleason groups by using Neural Network classifier

Author:Hongtao Zhang  Bo Wang  Zeyu Hu  Zhenjie Wu  Jiamu Xiao  Gang Wang  Shulong Wang  Huiyi Ye  

Institution:Chinese PLA General Hospital  Tsinghua University  Tsinghua University  Xidian University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4890  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 172  

Structural- and Functional-Connectivity Convolution Neural Networks (SCFCnn) for Integrated Brain-Behavior Prediction in the HCP dataset

Survival prediction from DCE-MRI kinetic parameters in patients with osteosarcoma using deep learning

Author:Junyu Guo  Wilburn Reddick  

Institution:St Jude Children's Research Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4876  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 158  

To evaluate the role of machine learning for characterization of breast lesion using multi-parametric MRI.

Tools for assessing and mitigating confounding effects in Machine-Learning based studies of MRI data

Author:Elisa Ferrari  Giovanna Spera  Letizia Palumbo  Alessandra Retico  

Institution:INFN, sez. Pisa  Scuola Normale Superiore  University of Pisa  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4893  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 175  

Whole-Brain R1 mapping predicts occupational Mn air exposure: a support vector machine approach

Author:David Edmondson  Sébastien Hélie  Ulrike Dydak  

Institution:Purdue University  Indiana University School of Medicine  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4881  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 163  

Will a Convolutional Neural Network Trained for Non-contrast Water-Fat Separation Generalize to Post-Contrast Acquisitions?

Author:James Goldfarb  Jie Cao  

Institution:St Francis Hospital  St. Francis Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4888  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 170