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A Deep Learning Based Left Atrium Anatomy Segmentation and Scar Delineation in 3D Late Gadolinium Enhanced CMR Images

A Deep Learning Based Left Atrium Anatomy Segmentation and Scar Delineation in 3D Late Gadolinium Enhanced CMR Images

A Novel and Efficient No-tuning Inductive-coupling Q-damping Circuit for a Low-field Portable MRI System

Author:Zhi Hua Ren  Guang Yang  Pengde Wu  Sergei Obruchkov  Robin Dykstra  Shao Ying Huang  

Institution:Sichuan University  Singapore University of Technology and Design  Victoria University of Wellington  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:09:15  

Session Name:MRI Unplugged: Wireless, Portable & Flexible  

Program Number:1544  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 111  

A Reference-Free Convolutional Neural Network Model for Magnetic Resonance Imaging Reconstruction from Under-Sampled k-Space

Author:Yang Song  Yida Wang  Xu Yan  Minxiong Zhou  Bingwen Hu  Guang Yang  

Institution:East China Normal university  Shanghai University of Medicine & Health Sciences  Siemens Healthcare  Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: A New Frontier  

Program Number:4658  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 115  

A ROI Focused Multi-Scale Super-Resolution Method for the Diffusion Tensor Cardiac Magnetic Resonance

Author:Jin Zhu  Guang Yang  Pedro Ferreira  Andrew Scott  Sonia Nielles-Vallespin  Jennifer Keegan  Dudley Pennell  Pietro Lio  David Firmin  

Institution:Imperial College London  University of Cambridge  Royal Brompton Hospital  

Session Type:Power Pitch  

Session Date:Wednesday, 15 May 2019  

Session Time:13:30  

Session Name:Pitch: Myocardial Tissue Characterization  

Program Number:0778  

Presentation Time:13:30   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:

A ROI Focused Multi-Scale Super-Resolution Method for the Diffusion Tensor Cardiac Magnetic Resonance

Author:Jin Zhu  Guang Yang  Pedro Ferreira  Andrew Scott  Sonia Nielles-Vallespin  Jennifer Keegan  Dudley Pennell  Pietro Lio  David Firmin  

Institution:Imperial College London  University of Cambridge  Royal Brompton Hospital  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:14:30  

Session Name:Poster: Myocardial Tissue Characterization  

Program Number:0778  

Presentation Time:14:30   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:Plasma 3  

A Single-Image Super-Resolution Method for Late Gadolinium Enhancement CMR

Author:Jin Zhu  Guang Yang  Tom Wong  Raad Mohiaddin  David Firmin  Jennifer Keegan  Pietro Lio  

Institution:Imperial College London  University of Cambridge  Royal Brompton Hospital  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Tissue Characterization 2  

Program Number:2028  

Presentation Time:16:00   

Room Number:Exhibition Hall  

Computer Number:Computer 78  

A Two-Step Automated Liver MR Images Quality Assessment based on Convolutional Neural Network

BrainQuan: An integrated tool for automated and region-specific analysis of multi-parametric brain MRI data

Author:Xiang Feng  Meng Xiao Liu  Guang Yang  Xu Yan  

Institution:East China Normal university  Siemens Healthcare.  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Software & Tools  

Program Number:4820  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 102  

Classification of prostate cancer by radiomics

Author:jing zhang  Yu-dong Zhang  Yang Song  Xu Yan  Guang Yang  

Institution:East China Normal university  Jiangsu Province Hospital  MR Scientific Marketing, Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:13:45  

Session Name:Prostate MRI: Technical Developments  

Program Number:1631  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 23  

Differentiation of Sinonasal Mucosal Malignant Melanomas from Sinonasal Carcinomas Using Whole-tumour Histogram Analysis of Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion

Author:Zebin Xiao  Zuohua Tang  jing zhang  Guang Yang  Yang Song  Linying Guo  Zhongshuai Zhang  

Institution:East China Normal university  Eye & ENT Hospital of Fudan University  MR Scientific Marketing, Siemens Healthcare  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:08:15  

Session Name:Diffusion: Body Applications  

Program Number:3458  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 121  

FeAture Explorer (FAE): a Tool of Radiomics Feature Analysis and Exploration

Fully automated in-vivo DT-CMR analysis with deep learning

Author:Pedro Ferreira  Andrew Scott  Zohya Khalique  Guang Yang  Sonia Nielles-Vallespin  Dudley Pennell  David Firmin  

Institution:Royal Brompton Hospital  Imperial College  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Tissue Characterization 2  

Program Number:2036  

Presentation Time:16:00   

Room Number:Exhibition Hall  

Computer Number:Computer 86  

MRI-based radiomics nomogram in differentiating sinonasal mucosal melanoma from sinonasal lymphoma

Author:Linying Guo  Zuohua Tang  Yang Song  Guang Yang  jing zhang  Yucheng Pan  Zebin Xiao  Zhongshuai Zhang  

Institution:East China Normal university  EENT Hospital of Fudan University  SIEMENS Healthcare, Diagnostic Imaging  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:16:00  

Session Name:Head & Neck  

Program Number:1244  

Presentation Time:17:00   

Room Number:Room 518A-C  

Computer Number:

Whole-Tumor Histogram Analysis of Monoexponential and Advanced Diffusion-weighted Imaging for Sinonasal Malignant Tumors: Correlations with Histopathologic Features