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Displaying 1 - 13 of 13

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Application of machine learning for MRI case studies

Author:Nagesh Adluru Cole Korponay Robin Goldman Andrew Alexander Richard Davidson

Author Institution:University of Wisconsin Madison

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2739

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Classification of Different Episodic Memory Tasks by Time Points using a Deep Neural Network

Author:Zhengshi Yang Xiaowei Zhuang Karthik Sreenivasan Virendra Mishra Christopher Bird Tim Curran Sarah Banks Dietmar Cordes

Author Institution:Cleveland Clinic Lou Ruvo Center for Brain Health University of Colorado

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2745

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Deep learning based MR image diagnostic quality deduction to reduce patient recall

Author:Arathi Sreekumari Ileana Hancu Dirk Beque Keith Park Uday Patil Desmond Teck Beng Yeo Thomas Foo Dattesh Shanbhag

Author Institution:GE Global Research

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2747

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Deep Recurrent Neural Network Based Learning for Determining Structural Changes in Brain MRE: Towards Early Detection of Alzheimer’s

Author:Raghuprasad M S

Author Institution:GE Healthcare

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2740

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Early Prediction of Total Knee Replacement using Structural MRI and 3D Deep Convolutional Neural Networks

Author:Kevin Leung Gregory Chang Kyunghyun Cho Cem Deniz

Author Institution:New York University New York University Langone Medical Center

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2744

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Is it possible to estimate recanalization effect for acute ischemic stroke patients using a single deep learning model?

Author:Anne Nielsen Mikkel Hansen Kim Mouridsen

Author Institution:Aarhus University

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2741

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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MRI-based radiomics signature for head and neck squamous cell carcinoma patients

Author:Ling Dong Ying Yuan Xiaofeng Tao Di Dong Zhenyu Liu Yali Zang Jie Tian

Author Institution:CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing P.R. China; University of Chinese Academy of Sciences, Beijing P.R. China. Shanghai Ninth People’s Hospital University of Electronic Science and Technology of China

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2748

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Optimization of Asymmetric Spin Echo MRI for Oxygen Extraction Fraction Mapping in the Brain and Initial Experience with Moya-Moya Patients

Author:Dharmesh Tailor John Lee Hongyu An Colin Derdeyn

Author Institution:Florida Hospital & University of Central Florida School of Medicine University of Iowa School of Medicine Washington University School of Medicine

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2743

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Prognostic-value of imaging markers for the prediction of the clinical evolution in Alzheimer’s disease

Author:Cécilia Damon Guillaume Magnien Urielle Thoprakarn Bruno Vegreville Jinpeng Li Jean-Baptiste Martini Clarisse Longo dos Santos

Author Institution:École Polytechnique Fédérale de Lausanne Qynapse

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2742

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Radiomics based strategy for identifying poorly differentiated HCC by using precontrast MRI

Author:Jingjun Wu Ailian Liu Jingjing Cui Lizhi Xie

Author Institution:GE Healthcare, MR Research Huiying Medical Technology Co., Ltd. The First Affiliated Hospital of Dalian Medical University

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2749

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Radiomics using multi parametric MRI for pre-treatment prediction of complete response to neo-adjuvant treatment in locally advanced rectal cancer

Author:Stefano Trebeschi Joost van Griethuysen Doenja Lambregts Max Lahaye Frans Bakers Roy Vliegen Emile Voest Regina Beets-Tan Hugo Aerts

Author Institution:Dana Farber Cancer Institute Maastricht University Medical Center Netherlands Cancer Institute Zuyderland Medical Center Heerlen

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2751

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Resting-state Brain Networks using Spectral Clustering Analysis

Author:Jason Barrett Haomiao Meng Song Chen Li Zhao David Alsop Xingye Qiao Weiying Dai

Author Institution:Beth Israel Deaconess Medical Center and Harvard Medical School State University of New York at Binghamton

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2746

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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STAGE Imaging at 1.5T: A Rapid Brain Protocol Providing More Images As Well As Quantitative Data

Author:Yu Wang Feng Huang Wei Xu Tiecheng Li Hongyu Guo Yongsheng Chen Ewart Haccke

Author Institution:Neusoft Medical System The MRI Institute for Biomedical Research

Session Type:Traditional Poster

Session Date:Thursday, 21 June 2018

Session Time:08:00

Session:Classification & Prediction for Function & Disease

Program Number:2750

Presentation Time:

Room Number:Exhibition Hall 2739-2751

Computer Number:

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Displaying 1 - 13 of 13

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Application of machine learning for MRI case studies

Classification of Different Episodic Memory Tasks by Time Points using a Deep Neural Network

Deep learning based MR image diagnostic quality deduction to reduce patient recall

Deep Recurrent Neural Network Based Learning for Determining Structural Changes in Brain MRE: Towards Early Detection of Alzheimer’s

Early Prediction of Total Knee Replacement using Structural MRI and 3D Deep Convolutional Neural Networks

Is it possible to estimate recanalization effect for acute ischemic stroke patients using a single deep learning model?

MRI-based radiomics signature for head and neck squamous cell carcinoma patients

Optimization of Asymmetric Spin Echo MRI for Oxygen Extraction Fraction Mapping in the Brain and Initial Experience with Moya-Moya Patients

Prognostic-value of imaging markers for the prediction of the clinical evolution in Alzheimer’s disease

Radiomics based strategy for identifying poorly differentiated HCC by using precontrast MRI

Radiomics using multi parametric MRI for pre-treatment prediction of complete response to neo-adjuvant treatment in locally advanced rectal cancer

Resting-state Brain Networks using Spectral Clustering Analysis

STAGE Imaging at 1.5T: A Rapid Brain Protocol Providing More Images As Well As Quantitative Data