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A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2398  

Room Session:Concurrent 1  

Institution:COMSATS University  

Deep Laplacian Pyramid Networks for Fast MRI Reconstruction with Multiscale T1 Priors

Author:Xiaoxin Li  Xinjie Lou  Junwei Yang  Yong Chen  Dinggang Shen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1972  

Room Session:Concurrent 1  

Institution:Case Western Reserve University  ShanghaiTech University  University of Cambridge  Zhejiang University of Technology  Shanghai United Imaging Intelligence Co., Ltd.  

Deep Learner estimated isotropic volume fraction enables reliable single-shell NODDI reconstruction

Author:Abrar Faiyaz  Marvin Doyley  Giovanni Schifitto  Jianhui Zhong  Md Nasir Uddin  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Microstructure: Modelling Gray & White Matter Diffusion  

Session Name:Multicomponent Models of Diffusion, Perfusion & Relaxation  

Program Number:3427  

Room Session:Concurrent 4  

Institution:University of Rochester  

Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI

Author:Ying Zhao  Han Wen  Ailian Liu  Yu Yao  Tao Lin  Qingwei Song  Xin Li  Yan Guo  Tingfan Wu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2990  

Room Session:Concurrent 5  

Institution:Chengdu Institute of CoChinese Academy of Sciences  GE healthcare (China)  The First Affiliated Hospital of Dalian Medical University  University of Chinese Academy of Sciences  

Deep Learning Algorithms May Aid In The Evaluation Of Cine Images In Patients With Atrial Arrhythmia – A Case Series

Author:Ria Garg  Elizabeth Hillier  Andrew Coristine  Matthias Friedrich  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Real-Time Cardiac MRI  

Session Name:Towards Real-Time Cardiac MRI  

Program Number:2875  

Room Session:Concurrent 2  

Institution:McGill University Health Center  RI-McGill University Health Center  MR applications and workflow, GE Healthcare  University of Alberta, Edmonton  

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  

A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients

Author:Zhoubing Xu  Guillaume Chabin  Robert Grimm  Stephan Kannengiesser  Li Pan  Vibhas Deshpande  Gregor Thoermer  Sasa Grbic  Cara Morin  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Digestive, Diabetes & Pancreas  

Session Name:Diffuse Liver & Pancreatic Diseases  

Program Number:1871  

Room Session:Concurrent 5  

Institution:Siemens Healthineers  St. Jude Children's Research Hospital  

A deep learning approach to estimate voxelwise cardiac-related brain pulsatility from BOLD MRI

Author:Nicholas Luciw  William Cameron  Andrew Robertson  Sarah Atwi  Bradley Macintosh  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0659  

Room Session:Concurrent 6  

Institution:Sunnybrook Research Institute  University of Toronto  University of Waterloo  

A Deep Learning Approach to QSM Background Field Removal: Simulating Realistic Training Data Using a Reference Scan Ground Truth and Deformations

Author:Oriana Arsenov  Karin Shmueli  Anita Karsa  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Current Trends in MRI Contrast Mechanisms  

Session Name:Contrast Mechanisms: Miscellaneous  

Program Number:1839  

Room Session:Concurrent 3  

Institution:University College London  

Deep Learning Automation for Human Brain Masking of Multi-Band MR Elastography

Author:Aaron Anderson  Siddharth Muralidaran  Alexander Cerjanic  Bradley Sutton  Mark Anastasio  Frank Brooks  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Elastography  

Session Name:Elastography: Methods  

Program Number:1024  

Room Session:Concurrent 4  

Institution:University of Illinois at Urbana-Champaign  Carle Foundation Hospital  

Deep learning based acceleration of multi-contrast MRI examinations by acquiring contrast and sharing inter-contrast structure information

Author:Sudhanya Chatterjee  Suresh Joel  Sajith Rajamani  Shaik Ahmed  Uday Patil  Ramesh Venkatesan  Dattesh Shanbhag  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:Novel & Multicontrast Approaches  

Session Name:Novel & Multicontrast Approaches  

Program Number:0090  

Room Session:Concurrent 4  

Institution:GE Healthcare  

Deep Learning based Automatic Multi-Regional Segmentation of the Aorta form 4D Flow MRI

Author:Haben Berhane  Michael Scott  Justin Baraboo  Cynthia Rigsby  Joshua Robinson  Bradley Allen  Chris Malaisrie  Patrick McCarthy  Ryan Avery  Michael Markl  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2647  

Room Session:Concurrent 2  

Institution:Lurie Childrens Hospital of Chicago  Northwestern Radiology  Northwestern University  

Deep learning based denoising for high b-value high resolution diffusion imaging

Author:Seema S Bhat  Pavan Poojar  Hanumantharaju M C  Sairam Geethanath  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding, Estimation & Machine Learning  

Program Number:2440  

Room Session:Concurrent 3  

Institution:BMS Institute of Technology and Management  Columbia University in the City of New York  Dayananda sagar college of engineering  

Deep Learning Based ESPIRiT Reconstruction for Highly Accelerated 2D Phase Contrast MRI

Author:Julio Oscanoa  Matthew Middione  Christopher Sandino  Shreyas Vasanawala  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2645  

Room Session:Concurrent 2  

Institution:Stanford University  

Deep learning based fully automatic analysis of gastric motility from contrasty-enhanced MRI

Author:Xiaokai Wang  Jiayue Cao  Minkyu Choi  Zhongming Liu  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Digestive, Diabetes & Pancreas  

Session Name:Digestive, Diabetes & Pancreas  

Program Number:0252  

Room Session:Concurrent 5  

Institution:University of Michigan  

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 Based Joint MR Image Reconstruction and Under-sampling Pattern Optimization

Author:Vihang Agarwal  Yue Cao  James Balter  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1763  

Room Session:Concurrent 1  

Institution:University of Michigan  

Deep learning based kidney segmentation for high temporal resolution tracking renal size changes during sequential gas challenges

Author:Kaixuan Zhao  Joao dos Santos Periquito  Thomas Gladytz  Kathleen Cantow  Luis Hummel  Jason Millward  Sonia Waiczies  Erdmann Seeliger  Yanqiu Feng  Thoralf Niendorf  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:Even More (Artificial) Intelligence in the Body  

Program Number:2995  

Room Session:Concurrent 5  

Institution:Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbruck Center for Molecular Medicine in the Helmholtz Association  Charité - Universitätsmedizin Berlin  Southern Medical University  Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association  

Deep Learning Based MRS Metabolite Quantification: CNN and ResNet versus Non Linear Least Square Fitting

Author:Federico Turco  Irena Zubak  Johannes Slotboom  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2018  

Room Session:Concurrent 2  

Institution:Institute of Diagnostic and Interventional Neuroradiology / SCAN, University Hospital Bern and Inselspital, University Bern  Neurosurgery, University Hospital Bern and Inselspital, University Bern  

Deep learning based prediction of H3K27M mutation in midline gliomas on multimodal MRI

Author:Priyanka Tupe Waghmare  Piyush Malpure  Manali Jadhav  Abhilasha Indoria  Richa Singh Chauhan  Subhas Konar  Vani Santosh  Jitender Saini  Madhura Ingalhalikar  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging  

Program Number:0664  

Room Session:Concurrent 6  

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

Deep learning based quantitative susceptibility mapping (QSM) in the presence of fat by using synthetically generated multi-echo phase data

Author:Jannis Hanspach  Aurel Jolla  Michael Uder  Bernhard Hensel  Steffen Bollmann  Frederik Laun  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Improving Susceptibility Mapping: Greater Speed, Information & Accuracy  

Session Name:Susceptibility: Models & Mapping  

Program Number:3975  

Room Session:Concurrent 2  

Institution:Center for Medical Physics and Engineering  School of Information Technology and Electrical Engineering  University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)  

Deep learning based radial de-streaking for free breathing time resolved volumetric DCE MRI

Author:Sagar Mandava  Xinzeng Wang  Ty Cashen  Tetsuya Wakayama  Ersin Bayram  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:(Artificial) Intelligence in the Body  

Session Name:(Artificial) Intelligence in the Body  

Program Number:0529  

Room Session:Concurrent 5  

Institution:GE Healthcare  

Deep Learning Based Segmentation and Fat Fraction Assessment of the Calf in Diabetic Subjects and Non-Diabetic Controls

Author:Jill Shah  Katherine Medina  Haresh Rajamohan  Justin Ho  Cem Deniz  Ryan Brown  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Digestive, Diabetes & Pancreas  

Session Name:Digestive, Diabetes & Pancreas  

Program Number:0258  

Room Session:Concurrent 5  

Institution:New York University Grossman School of Medicine  New York University  

Deep Learning based spine labeling with three-plane 2D localizers without vertebrae segmentation

Author:Dattesh Shanbhag  Arathi Sreekumari  Soumya Ghose  Chitresh Bhushan  Uday Patil  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Making MRI More Accessible: Speed, Cost & New Developments  

Session Name:Making MRI More Accessible  

Program Number:3812  

Room Session:Concurrent 3  

Institution:GE Global Research  GE Healthcare  General Electric Company  

Deep Learning Based Super-resolution of Diffusion MRI Data

Author:Zifei Liang  Jiangyang Zhang  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion Acquisition & Post-Processing  

Session Name:Diffusion Acquisition & Post-Processing  

Program Number:1348  

Room Session:Concurrent 6  

Institution:New York University School of Medicine  

Deep learning based synthetic CT skull for transcranial MRgFUS interventions using 3D V-net–Transfer learning implications

Author:Pan Su  Sijia Guo  Steven Roys  Florian Maier  Thomas Benkert  Himanshu Bhat  Elias Melhem  Dheeraj Gandhi  Rao Gullapalli  Jiachen Zhuo  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Interventional, Multimodal & Auxiliary Engineering  

Session Name:MR-Guided Interventions: Methods  

Program Number:4258  

Room Session:Concurrent 3  

Institution:Siemens Healthcare GmbH  Siemens Medical Solutions USA, Inc.  University of Maryland, School of Medicine  University of Maryland Medical Center  

Deep Learning Denoising to Accelerate Diffusion-Weighted Imaging of Rectal Cancer

Author:Mohaddese Mohammadi  Elena Kayee  Youngwook Kee  Jennifer Golia Pernicka  Iva Petkovska  Ricardo Otazo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Cancer in the Body  

Session Name:GI & Pancreas Cancers  

Program Number:2332  

Room Session:Concurrent 5  

Institution:Memorial Sloan Kettering Cancer Center  

Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance – A Prospective, Multicenter Trial

Author:Suzie Bash  Long Wang  Chris Airriess  Sara Dupont  Greg Zaharchuk  Enhao Gong  Tao Zhang  Ajit Shankaranarayanan  Lawrence Tanenbaum  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Quantitative Neuroimaging  

Session Name:Quantitative Neuro: Technical Advances  

Program Number:1275  

Room Session:Concurrent 5  

Institution:Cortechs.ai  RadNet  Stanford University  Subtle Medical  

Deep Learning Enables A Half Z-spectrum Sampling-based B0 Inhomogeneity Correction for CEST MRI

Author:Yiran Li  Danfeng Xie  Dushyant Kumar  Abigail Cember  Ravi Prakash Reddy Nanga  Hari Hariharan  John A. Detre  Ravinder Reddy  Ze Wang  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:CEST, MT & T1?  

Session Name:CEST, MT & T1?  

Program Number:0148  

Room Session:Concurrent 4  

Institution:University of Maryland School of Medicine  University of Pennsylvania Perelman School of Medicine  

Deep Learning Enhanced T1 Mapping and Reconstruction Framework with Spatial-temporal and Physical Constraint

Author:Yuze Li  Huijun Chen  Haikun Qi  Zhangxuan Hu  Zhensen Chen  Runyu Yang  Huiyu Qiao  Jie Sun  Tao Wang  Xihai Zhao  Hua Guo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2175  

Room Session:Concurrent 1  

Institution:GE Healthcare  King’s College London  Peking University Third Hospital  Tsinghua University  University of Washington, Seattle  

Deep Learning for Automated Segmentation of Brain Nuclei on Quantitative Susceptibility Mapping

Author:Yida Wang  Naying He  Yan Li  Yi Duan  Ewart Mark Haacke  Fuhua Yan  Guang Yang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2403  

Room Session:Concurrent 1  

Institution:East China Normal University, Shanghai Key Laboratory of Magnetic Resonance  Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine  Department of Biomedical Engineering, Wayne State University  

Deep learning for fast 3D low field MRI

Author:Reina Ayde  Tobias Senft  Najat Salameh  Mathieu Sarracanie  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2192  

Room Session:Concurrent 1  

Institution:University of Basel  

Deep Learning for MR Vessel Wall Imaging: Automated Detection of arterial vessel wall and plaque

Author:Wenjing Xu  Xiong Yang  Yikang Li  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:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2642  

Room Session:Concurrent 2  

Institution:CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  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.  Faculty of Information Technology, Beijing University of Technology  Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Deep learning for synthesizing apparent diffusion coefficient maps of the prostate: A tentative study based on generative adversarial networks

Author:lei hu  jungong Zhao  Caixia Fu  Thomas Benkert  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4124  

Room Session:Concurrent 5  

Institution:Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt  MR Application Development, Siemens Shenzhen magnetic Resonance Ltd  MR Application Predevelopment, Siemens Healthcare, Erlangen, Gernmany  

Deep learning for synthesizing high-b-value DWI of the prostate: A tentative study based on generative adversarial networks

Author:lei hu  jungong Zhao  Caixia Fu  Thomas Benkert  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion Acquisition & Post-Processing  

Session Name:Diffusion Acquisition & Post-Processing  

Program Number:1336  

Room Session:Concurrent 6  

Institution:Department of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixt  MR Application Development, Siemens Shenzhen magnetic Resonance Ltd  MR Application Predevelopment, Siemens Healthcare, Erlangen, Gernmany  

Deep Learning for the Ovarian Lesion Localization and Discrimination Between Borderline Tumors and Cancers in MR Imaging

Author:Yida Wang  YinQiao Yi  Haijie Wang  Changan Chen  Yingfang Wang  Guofu Zhang  He Zhang  Guang Yang  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Gynecologic & Prostate Cancers  

Session Name:Gynecologic & Prostate Cancers  

Program Number:0762  

Room Session:Concurrent 5  

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

Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Artificial Functional MRI Data

Author:Nanyan Zhu  Chen Liu  Sabrina Gjerswold-Selleck  Xinyang Feng  Dipika Sikka  Scott Small  Jia Guo  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Emerging Applications of AI in Neuroimaging  

Session Name:Emerging Applications of AI in Neuroimaging for CES I  

Program Number:3487  

Room Session:Concurrent 6  

Institution:Columbia University  

Deep Learning Image Reconstruction from Incomplete Fast Spin Echo MR Data

Author:Linfang Xiao  Yilong Liu  Yujiao Zhao  Zheyuan Yi  Vick Lau  Alex T.L. Leong  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1963  

Room Session:Concurrent 1  

Institution:Department of Electrical and Electronic Engineering, Southern University of Science and Technology  Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

Deep Learning Improves Detection of Anterior Cruciate Ligament- and Meniscus Tear Detection in Knee MRI

Author:Firas Khader  Gustav Müller-Franzes  Johannes Stegmaier  Martin Pixberg  Jonas Müller-Hübenthal  Christiane Kuhl  Sven Nebelung  Daniel Truhn  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4057  

Room Session:Concurrent 4  

Institution:Aachen University Hospital  Düsseldorf University Hospital  Praxis im Köln Triangle  RWTH Aachen University  

Deep learning improves retrospective free-breathing 4D-ZTE thoracic imaging: Initial experience

Author:Dorottya Papp  Jose Castillo T.  Piotr Wielopolski  Pierluigi Ciet  Gyula Kotek  Jifke Veenland  Juan Hernandez-Tamames  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Lung  

Session Name:Lung: Methods  

Program Number:3225  

Room Session:Concurrent 5  

Institution:Erasmus Medical Center  

Deep Learning in ML

Author:Roger Tam  

Session Type:Weekend Course  

Session Date:Saturday, 15 May 2021  

Topic:Machine Learning: Everything You Wanted to Know but Were Afraid to Ask  

Session Name:Machine Learning: Everything You Wanted to Know but Were Afraid to Ask  

Program Number:

Room Session:Concurrent 4  

Institution:University of British Columbia  

    A Deep Learning Method for Connectome Reconstruction Using Clinical MRI Protocols

    Author:Rui Zeng  Jinglei Lv  He Wang  Luping Zhou  Michael Barnett  Fernando Calamante  Chenyu Wang  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Diffusion in the Brain  

    Session Name:New Advances in Diffusion for the Brain  

    Program Number:1719  

    Room Session:Concurrent 5  

    Institution:Fudan University  The University of Sydney  

    Deep Learning of ADC Maps from Under-sampled Diffusion-Weighted Radially Sampled MRI

    Author:Yuemeng Li  Hee Kwon Song  Miguel Joaquim  Stephen Pickup  Rong Zhou  Yong Fan  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Contrast Agents & Preclinical Studies  

    Session Name:Contrast Agents & Preclinical Studies II  

    Program Number:1221  

    Room Session:Concurrent 2  

    Institution:University of Pennsylvania  

    Deep Learning Pathology Detection from Extremely Sparse K-Space Data

    Author:Linfang Xiao  Yilong Liu  Zheyuan Yi  Yujiao Zhao  Peiheng Zeng  Alex T.L. Leong  Ed Wu  

    Session Type:Digital Poster  

    Session Date:Tuesday, 18 May 2021  

    Topic:Machine Learning for Image Analysis  

    Session Name:Machine Learning for Image Analysis  

    Program Number:2410  

    Room Session:Concurrent 1  

    Institution:Department of Electrical and Electronic Engineering, Southern University of Science and Technology  Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

    Deep learning prediction for clear cell renal carcinoma cancer compared with human and radiomics analysis

    Author:Junyu Guo  Lauren Hinojosa  Yin Xi  Keith Husley  Ivan Pedrosa  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Cancer: Contrast Agents & MRS  

    Session Name:Cancer: Clinical  

    Program Number:0945  

    Room Session:Concurrent 2  

    Institution:UT Southwestern Medical Center  

    Deep learning prediction of retrieved stroke thrombus RBC content using quantitative, multiparametric MRI

    Author:Spencer Christiansen  Junmin Liu  Maria Bres Bullrich  Manas Sharma  Sachin Pandey  Mel Boulton  Luciano Sposato  Maria Drangova  

    Session Type:Digital Poster  

    Session Date:Wednesday, 19 May 2021  

    Topic:Emerging Applications of AI in Neuroimaging  

    Session Name:Emerging Applications of AI in Neuroimaging for CES II  

    Program Number:3506  

    Room Session:Concurrent 6  

    Institution:London Health Sciences Centre  Robarts Research Institute  Western University  

    Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

    Author:Patricia Johnson  Angela Tong  Paul Smereka  Awani Donthireddy  Robert Petrocelli  Hersh Chandarana  Florian Knoll  

    Session Type:Digital Poster  

    Session Date:Thursday, 20 May 2021  

    Topic:Prostate  

    Session Name:Prostate: Deep Learning  

    Program Number:4122  

    Room Session:Concurrent 5  

    Institution:New York University School of Medicine  

    Deep Learning Reconstruction for DWI with b Values < 5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer

    Author:Takahiro Ueda  Yoshiharu Ohno  Kaori Yamamoto  Kazuhiro Murayama  Masato Ikedo  Masao Yui  Akiyoshi Iwase  Takashi Fukuba  Satomu Hanamatsu  Yuki Obama  Hirotaka Ikeda  Hiroshi Toyama  

    Session Type:Digital Poster  

    Session Date:Wednesday, 19 May 2021  

    Topic:(Artificial) Intelligence in the Body  

    Session Name:Even More (Artificial) Intelligence in the Body  

    Program Number:2999  

    Room Session:Concurrent 5  

    Institution:Canon Medical Systems Corporation  Fujita Health University Hospital  Fujita Health University School of Medicine  

    Deep learning reconstruction including de-streaking capability for motion-robust T1-weighted breast imaging

    Author:Ping Wang  Sagar Mandava  Xinzeng Wang  Ty Cashen  Frederick Felcz  James Holmes  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Breast MRI as a Problem-Solving Tool  

    Session Name:Breast: Breast Cancer Diagnosis, Characterization & Treatment Response  

    Program Number:1442  

    Room Session:Concurrent 3  

    Institution:GE Healthcare  University of Wisconsin-Madison  

    Deep Learning Reconstruction of 3D Zero Echo Time Magnetic Resonance Images for the Creation of 3D Printed Anatomic Models

    Author:Nicole Wake  Stephanie Shamir  Beverly Thornhill  Nogah Haramati  Graeme McKinnon  Mathias Engstrom  Florian Wiesinger  Michael Carl  Fraser Robb  Maggie Fung  

    Session Type:Digital Poster  

    Session Date:Thursday, 20 May 2021  

    Topic:Artificial Intelligence Applied to MSK MRI  

    Session Name:Artificial Intelligence  

    Program Number:4061  

    Room Session:Concurrent 4  

    Institution:GE Healthcare  Montefiore Medical Center  NYU Langone Health