Browse All

Current Filters

CLEAR FILTER x

TITLE

Deep Learning Based Needle Localization on Real-Time MR Images of Patients Acquired During MR-guided Percutaneous Interventions

Author:Jonathan Weine  Elodie Breton  Julien Garnon  Afshin Gangi  Florian Maier  

Institution:ICube UMR7357, University of Strasbourg, CNRS, FMTS  Imagerie Interventionnelle, Hôpitaux Universitaires de Strasbourg  Siemens Healthcare  Siemens Healthcare  TU Dortmund  

Session Type:Oral  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:MR-Guided Intervention  

Program Number:0973  

Presentation Time:17:09   

Room Number:Room 513D-F  

Computer Number:

Deep Learning based Velocity Aliasing Correction for 4D Flow MRI

Author:Haben Berhane  Hassan Haji-Valizadeh  Joshua Robinson  Michael Markl  Cynthia Rigsby  

Institution:Lurie Childrens Hospital of Chicago  Northwestern University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4860  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 142  

Deep learning brain conductivity mapping using a patch-based 3D U-net

Author:Nils Hampe  Ulrich Katscher  Cornelius van den Berg  Khin Tha  Stefano Mandija  

Institution:Hokkaido University Hospital  Philips Research Laboratories  University Medical Center Utrecht  University of Lubeck  Utrecht University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:14:45  

Session Name:Electromagnetic Tissue Mapping  

Program Number:5045  

Presentation Time:14:45   

Room Number:Exhibition Hall  

Computer Number:Computer 152  

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 for DSI parameter map generation without image pre-processing

Author:Eric Gibbons  Kyler Hodgson  Ganesh Adluru  Edward DiBella  

Institution:University of Utah  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:08:15  

Session Name:Diffusion MRI: Image Reconstruction  

Program Number:3359  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 21  

Deep Learning for Identification of Active Lesions in Multiple Sclerosis Without Administration of Gadolinium Based Contrast Agent

Author:PONNADA NARAYANA  IVAN CORONADO  Sushmita Datta  SHEEBA SUJIT  FRED LUBLIN  JERRY WOLINSKY  REFAAT GABR  

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

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0024  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Deep Learning for Identification of Active Lesions in Multiple Sclerosis Without Administration of Gadolinium Based Contrast Agent

Deep Learning for Magnetic Resonance Fingerprinting: Data Augmentation with Phase Encoding and SVD Preprocessing for Accurate Parameter Reconstruction of FISP Data.

Deep Learning for Magnetic Resonance Fingerprinting: Data Augmentation with Phase Encoding and SVD Preprocessing for Accurate Parameter Reconstruction of FISP Data.

Deep Learning for Medical Imaging / MRI

Author:Jayashree Kalpathy-Cramer  

Institution:MGH/Harvard Medical School  

Session Type:Member-Initiated Symposium  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:Deep Learning for Mapping of Electromagnetic Tissue Properties  

Program Number:

Presentation Time:15:45   

Room Number:Room 513A-C  

Computer Number:

    Deep learning for prognosis in Degenerative cervical myelopathy

    Author:Lucas Rouhier  Matthieu Parizet  Muhammad Akbar  Michael Weber  Michael Fehlings  Julien Cohen-Adad  

    Institution:McGill University  Polytechnique Montreal  University of Toronto  Université de Montréal  

    Session Type:Digital Poster  

    Session Date:Tuesday, 14 May 2019  

    Session Time:15:45  

    Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

    Program Number:3086  

    Presentation Time:15:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 95  

    Deep Learning for Radial SMS Myocardial Perfusion Reconstruction

    Author:Johnathan Le  Ye Tian  Jason Mendes  Brent Wilson  Edward DiBella  Ganesh Adluru  

    Institution:University of Utah  

    Session Type:Digital Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:17:00  

    Session Name:Cardiovascular Image Processing & Reconstruction  

    Program Number:2147  

    Presentation Time:17:00   

    Room Number:Exhibition Hall  

    Computer Number:Computer 23  

    Deep Learning for solving ill-posed problems in Quantitative Susceptibility Mapping – What can possibly go wrong?

    Author:Pia Høy  Kristine Sørensen  Lasse Østergaard  Kieran O'Brien  Markus Barth  Steffen Bollmann  

    Institution:Aalborg University  The University of Queensland  Siemens  

    Session Type:Oral  

    Session Date:Monday, 13 May 2019  

    Session Time:16:00  

    Session Name:QSM & ETM  

    Program Number:0321  

    Presentation Time:16:48   

    Room Number:Room 710B  

    Computer Number:

    A deep learning framework with redundancy removal and its diagnostic performance of Parkinson's disease

    A deep learning framework with redundancy removal and its diagnostic performance of Parkinson's disease

    Deep Learning Infrastructure for Fast Magnetic Resonance Imaging Annotation of Hepatocellular Carcinoma

    Author:Brett Marinelli  Trevor Ellison  Kaustubh Kulkarni  Dudley Charles  Bachir Taouli  Anthony Costa  Edward Kim  

    Institution:Mount Sinai  

    Session Type:Digital Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:14:45  

    Session Name:What Are We, Chopped Liver?  

    Program Number:1790  

    Presentation Time:14:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 13  

    The deep learning lesion segmentation method nicMSlesions only needs one manually delineated subject to outperform commonly used unsupervised methods

    Author:Merlin Weeda  Iman Brouwer  Marlieke de Vos  Myrte de Vries  Frederik Barkhof  Petra Pouwels  Hugo Vrenken  

    Institution:MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc  Institutes of Neurology and Healthcare Engineering UCL  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:13:45  

    Session Name:Segmentation 1  

    Program Number:4728  

    Presentation Time:13:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 10  

    Deep Learning Model for Liver MRI Segmentation

    Author:Amber Mittendorf  Lawrence Ngo  Erol Bozdogan  Mohammad Chaudhry  Steven Chen  Gemini Janas  Jacob Johnson  Zhe Zhu  Maciej Mazurowski  Mustafa Bashir  

    Institution:Duke University Medical Center  University of Wisconsin  

    Session Type:Digital Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:13:45  

    Session Name:AI & Radiomics in Body MRI  

    Program Number:1725  

    Presentation Time:13:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 120  

    Deep learning motion compensation for Cartesian and spiral trajectories

    Author:Quan Dou  Xue Feng  Zhixing Wang  Daniel Weller  Craig Meyer  

    Institution:University of Virginia  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:08:15  

    Session Name:Motion Correction: Brain  

    Program Number:4447  

    Presentation Time:08:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 74  

    Deep Learning off-resonance correction for faster free-breathing contrast-enhanced conical ultrashort echo time (UTE) MRI of the pelvis

    Author:Signy Holmes  David Zeng  Joseph Cheng  Marcus Alley  Michael Carl  Dwight Nishimura  Preeti Sukerkar  Vipul Sheth  Ryan Brunsing  Shreyas Vasanawala  

    Institution:Ge Healthcare  GE Healthcare  Stanford University  

    Session Type:Digital Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:13:45  

    Session Name:AI & Radiomics in Body MRI  

    Program Number:1719  

    Presentation Time:13:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 114  

    Deep Learning Pipeline for Automated Identification of Osteoarthritic Degenerative Changes in the Hip

    Author:Eugene Ozhinsky  Radhika Tibrewala  Rutwik Shah  Sarah Foreman  Valentina Pedoia  Sharmila Majumdar  

    Institution:University of California San Francisco  University of California San Francisco  

    Session Type:Power Pitch  

    Session Date:Monday, 13 May 2019  

    Session Time:13:45  

    Session Name:Pitch: MSK Power Pitch  

    Program Number:0129  

    Presentation Time:13:45   

    Room Number:Power Pitch Theater B - Exhibition Hall  

    Computer Number:

    Deep Learning Pipeline for Automated Identification of Osteoarthritic Degenerative Changes in the Hip

    Author:Eugene Ozhinsky  Radhika Tibrewala  Rutwik Shah  Sarah Foreman  Valentina Pedoia  Sharmila Majumdar  

    Institution:University of California San Francisco  University of California San Francisco  

    Session Type:Power Pitch Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:14:45  

    Session Name:Poster: MSK Power Poster  

    Program Number:0129  

    Presentation Time:14:45   

    Room Number:Power Pitch Theater B - Exhibition Hall  

    Computer Number:Plasma 18  

    Deep learning segmentation (AxonDeepSeg) to generate axonal-property map from ex vivo human optic chiasm using light microscopy

    Author:Thibault Tabarin  Maria Morozova  Carsten Jaeger  Henriette Rush  Markus Morawski  Stefan Geyer  Siawoosh Mohammadi  

    Institution:Max Planck Institute for Human Cognitive and Brain Sciences  Medical Center Hamburg-Eppendorf  University Leipzig  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:13:45  

    Session Name:Segmentation 1  

    Program Number:4722  

    Presentation Time:13:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 4  

    Deep Learning Super-FOV for Accelerated bSSFP Banding Reduction

    Author:Nicholas McKibben  Michael Mendoza  Edward DiBella  Neal Bangerter  

    Institution:Brigham Young University  Imperial College London  University of Utah  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:13:45  

    Session Name:Machine Learning for Image Reconstruction: Optimised  

    Program Number:4791  

    Presentation Time:13:45   

    Room Number:Exhibition Hall  

    Computer Number:Computer 73  

    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 Learning with Attention to Predict Gestational Age of the Fetal Brain Using MRI

    Author:Liyue Shen  Katie Shpanskaya  Edward Lee  Emily McKenna  Maryam Maleki  Quin Lu  John Pauly  Kristen Yeom  

    Institution:Philips Healthcare North America  Stanford University  

    Session Type:Oral  

    Session Date:Thursday, 16 May 2019  

    Session Time:08:15  

    Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

    Program Number:1099  

    Presentation Time:10:03   

    Room Number:Room 520A-F  

    Computer Number:

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

    Deep learning without ground truth: an unsupervised method for MR image denoising and super-resolution

    Author:Xue Feng  Craig Meyer  

    Institution:University of Virginia  

    Session Type:Power Pitch  

    Session Date:Tuesday, 14 May 2019  

    Session Time:13:30  

    Session Name:Pitch: Machine Learning Unleashed 1  

    Program Number:0472  

    Presentation Time:13:30   

    Room Number:Power Pitch Theater B - Exhibition Hall  

    Computer Number:

    Deep learning without ground truth: an unsupervised method for MR image denoising and super-resolution

    Author:Xue Feng  Craig Meyer  

    Institution:University of Virginia  

    Session Type:Power Pitch Poster  

    Session Date:Tuesday, 14 May 2019  

    Session Time:14:30  

    Session Name:Poster: Machine Learning Unleashed 1  

    Program Number:0472  

    Presentation Time:14:30   

    Room Number:Power Pitch Theater B - Exhibition Hall  

    Computer Number:Plasma 23  

    A Deep Learning Accelerated MRI Reconstruction Model's Dependence on Training Data Distribution

    Deep Learning-Based Automatic Estimation of Volume and Fat Fraction in Abductor Muscles and their Associations with T1? and T2 in Hip Osteoarthritis Patients

    Author:Radhika Tibrewala  Valentina Pedoia  Carla Kinnunen  Tijana Popovic  Richard Souza  Sharmila Majumdar  

    Institution:University of California San Francisco  University of California San Francisco  

    Session Type:Digital Poster  

    Session Date:Monday, 13 May 2019  

    Session Time:08:15  

    Session Name:Muscle 1  

    Program Number:1267  

    Presentation Time:08:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 9  

    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 learning-based uncertainty estimation: application in PET/MRI joint estimation of attenuation and activity for patients with metal implants

    Deep learning-based whole breast segmentation to support automated breast density measurements from fat-water decomposition MRI

    Author:Karl Spuhler  Jie Ding  Maria Altbach  Jean-Philippe Galons  Patricia Thompson  Alison Stopeck  Chuan Huang  

    Institution:Stony Brook Medicine  Stony Brook University  University of Arizona College of Medicine  

    Session Type:Power Pitch  

    Session Date:Tuesday, 14 May 2019  

    Session Time:15:45  

    Session Name:Pitch: Breast Power Pitch  

    Program Number:0600  

    Presentation Time:15:45   

    Room Number:Power Pitch Theater C - Exhibition Hall  

    Computer Number:

    Deep learning-based whole breast segmentation to support automated breast density measurements from fat-water decomposition MRI

    Author:Karl Spuhler  Jie Ding  Maria Altbach  Jean-Philippe Galons  Patricia Thompson  Alison Stopeck  Chuan Huang  

    Institution:Stony Brook Medicine  Stony Brook University  University of Arizona College of Medicine  

    Session Type:Power Pitch Poster  

    Session Date:Tuesday, 14 May 2019  

    Session Time:16:45  

    Session Name:Poster: Breast Power Poster  

    Program Number:0600  

    Presentation Time:16:45   

    Room Number:Power Pitch Theater C - Exhibition Hall  

    Computer Number:Plasma 41  

    Deep MR Fingerprinting with total-variation and low-rank subspace priors

    Author:Mohammad Golbabaee  Carolin Pirkl  Marion Menzel  Guido Buonincontri  Pedro Gómez  

    Institution:Ge Healthcare  GE Healthcare  IMAGO7 Foundation  Technische Universität München  University of Bath  

    Session Type:Power Pitch  

    Session Date:Wednesday, 15 May 2019  

    Session Time:13:30  

    Session Name:Pitch: Rapid - Fire Fingerprinting  

    Program Number:0807  

    Presentation Time:13:30   

    Room Number:Power Pitch Theater C - Exhibition Hall  

    Computer Number:

    Deep MR Fingerprinting with total-variation and low-rank subspace priors

    Author:Mohammad Golbabaee  Carolin Pirkl  Marion Menzel  Guido Buonincontri  Pedro Gómez  

    Institution:Ge Healthcare  GE Healthcare  IMAGO7 Foundation  Technische Universität München  University of Bath  

    Session Type:Power Pitch Poster  

    Session Date:Wednesday, 15 May 2019  

    Session Time:14:30  

    Session Name:Poster: Rapid Fire MR Fingerprinting  

    Program Number:0807  

    Presentation Time:14:30   

    Room Number:Power Pitch Theater C - Exhibition Hall  

    Computer Number:Plasma 32  

    Deep MRI Reconstruction without Ground Truth for Training

    Author:Peizhou Huang  Chaoyi Zhang  Hongyu Li  Sunil Kumar Gaire  Ruiying Liu  Xiaoliang Zhang  Xiaojuan Li  Leslie Ying  

    Institution:Cleveland Clinic  State University of New York at Buffalo  

    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:4668  

    Presentation Time:09:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 125  

    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  

    A deep neural network based model for treatment response prediction using longitudinal diffusion MRI

    Author:Yu Gao  Vahid Ghodrati  Anusha Kalbasi  Jie Fu  Dan Ruan  Minsong Cao  Chenyang Wang  Fritz Eilber  Nicholas Bernthal  Susan Bukata  Sarah Dry  Scott Nelson  Mitchell Kamrava  John Lewis  Daniel Low  Michael Steinberg  Peng Hu  Yingli Yang  

    Institution:Cedars-Sinai Medical Center  University of California, Los Angeles  

    Session Type:Digital Poster  

    Session Date:Tuesday, 14 May 2019  

    Session Time:08:15  

    Session Name:Cancer Therapy Response Assessment  

    Program Number:2326  

    Presentation Time:08:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 28  

    Deep Neural Network for Single-Point Dixon Imaging with Flexible Echo Time

    Author:Jong Bum Son  Marion Scoggins  Basak Dogan  Ken-Pin Hwang  Jingfei Ma  

    Institution:The University of Texas MD Anderson Cancer Center  The University of Texas Southwestern Medical Center  

    Session Type:Digital Poster  

    Session Date:Wednesday, 15 May 2019  

    Session Time:14:30  

    Session Name:Fat, QSM & CEST  

    Program Number:4014  

    Presentation Time:14:30   

    Room Number:Exhibition Hall  

    Computer Number:Computer 160  

    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 Neural Networks for Motion Estimation in k-space: Applications and Design

    Deep parameter mapping with relaxation signal model driven constraints

    Author:Zhiyang Fu  Sagar Mandava  Zhitao Li  Diego Martin  Maria Altbach  Ali Bilgin  

    Institution:university of arizona  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:09:15  

    Session Name:Quantitative Mapping: Relaxometry & Beyond  

    Program Number:4547  

    Presentation Time:09:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 2  

    Deep Partial Fourier Reconstruction

    Author:Alexander Toews  Marcus Alley  Shreyas Vasanawala  Brian Hargreaves  Joseph Cheng  

    Institution:Stanford University  

    Session Type:Digital Poster  

    Session Date:Thursday, 16 May 2019  

    Session Time:09:15  

    Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

    Program Number:4702  

    Presentation Time:09:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 159  

    Deep Plug-and-Play Prior for Parallel MRI Reconstruction

    Author:Ali Pour Yazdanpanah  Onur Afacan  Simon Warfield  

    Institution:Computational Radiology Laboratory, Boston Children's Hospital and Harvard Medical School  

    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:4665  

    Presentation Time:09:15   

    Room Number:Exhibition Hall  

    Computer Number:Computer 122  

    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  

    Deep Quantitative Susceptibility Mapping by combined Background Field Removal and Dipole Inversion

    Author:Stefan Heber  Christian Tinauer  Steffen Bollmann  Stefan Ropele  Christian Langkammer  

    Institution:Medical University of Graz  The University of Queensland  

    Session Type:Digital Poster  

    Session Date:Wednesday, 15 May 2019  

    Session Time:14:30  

    Session Name:Fat, QSM & CEST  

    Program Number:4028  

    Presentation Time:14:30   

    Room Number:Exhibition Hall  

    Computer Number:Computer 174