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Adversarial Inpainting of Arbitrary shapes in Brain MRI

Author:Karim Armanious  Sherif Abdulatif  Vijeth Kumar  Tobias Hepp  Bin Yang  Sergios Gatidis  

Institution:University Hospital Tübingen  University of Stuttgart  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3552  

Room Live Q&A Session:

Data Augmentation with Conditional Generative Adversarial Networks for Improved Medical Image Segmentation

Author:Gregory Kuling  Matt Hemsley  Geoff Klein  Philip Boyer  Marzyeh Ghassemi  

Institution:University of Toronto  Sunnybrook Research Institute  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3544  

Room Live Q&A Session:

Deep Learning-based Perfusion Parameter Mapping (DL-PPM) with Simulated Microvascular Network Data

Author:Liangdong Zhou  Jinwei Zhang  Qihao Zhang  Pascal Spincemaille  Thanh Nguyen  Yi Wang  

Institution:Weill Medical School of Cornell University  Cornell University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3547  

Room Live Q&A Session:

Empirically-Trained Image Contrast Synthesis for Intravascular MRI Endoscopy

Author:Xiaoyang Liu  Paul Bottomley  

Institution:Johns Hopkins University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3538  

Room Live Q&A Session:

Enhanced One-minute EPImix Brain MRI Scans with distortion correction Based on supervised GAN model

Author:Haining Wei  Jiang Liu  Enhao Gong  Stefan Skare  Greg Zaharchuk  

Institution:Karolinska Institutet  Stanford University  Subtle Medical Inc.  The Johns Hopkins University  Tsinghua University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3543  

Room Live Q&A Session:

Fetal pose estimation from volumetric MRI using generative adversarial network

Author:Junshen Xu  Molin Zhang  Esra Turk  Polina Golland  P. Ellen Grant  Elfar Adalsteinsson  

Institution:Boston Children’s Hospital  MIT  Harvard Medical School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3551  

Room Live Q&A Session:

A Lightweight deep learning network for MR image super-resolution using separable 3D convolutional neural networks

Author:Li Huang  Xueming Zou  Tao Zhang  

Institution:School of Life Science and Technology, University of Electronic Science and Technology of China  High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan  Key Laboratory for Neuroinformation, Ministry of Education  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3541  

Room Live Q&A Session:

Multi-Contrast-Specific Objective Functions for MR Image Deep Learning - Losses for Pixelwise Error, Misregistration, and Local Variance

Author:Hanbyol Jang  Sewon Kim  Jinseong Jang  Young Han Lee  Dosik Hwang*  

Institution:Yonsei University  Yonsei University College of Medicine  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3545  

Room Live Q&A Session:

A Multi-Stream GAN Approach for Multi-Contrast MRI Synthesis

Author:Mahmut Yurt  Salman Ul Hassan Dar  Aykut Erdem  Erkut Erdem  Tolga Çukur  

Institution:Hacettepe University  Bilkent University  National Magnetic Resonance Research Center, Bilkent University  Neuroscience Program, Sabuncu Brain Research Center, Bilkent University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3539  

Room Live Q&A Session:

PET Image Denoising Using Structural MRI with a Dilated Convolutional Neural Network

Author:Mario Serrano-Sosa  Christine DeLorenzo  Chuan Huang  

Institution:Stony Brook University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3550  

Room Live Q&A Session:

Predicting T2 Maps from Morphological OAI Images with an ROI-Focused GAN

Author:Bragi Sveinsson  Akshay Chaudhari  Bo Zhu  Neha Koonjoo  Matthew Rosen  

Institution:Massachusetts General Hospital  Stanford University  Harvard Medical School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3549  

Room Live Q&A Session:

QSMResGAN - Dipole inversion for quantitative susceptibilitymapping using conditional Generative Adversarial Networks

Author:Francesco Cognolato  Steffen Bollmann  Markus Barth  

Institution:The University of Queensland  Technical University of Munich  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3542  

Room Live Q&A Session:

A Self-Regularized and Over-Determined Deep Network for Cranial Pseudo-CT Generation

Author:Max Law  Oilei Wong  Jing Yuen  S.K. Yu  

Institution:Hong Kong Sanatorium & Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3546  

Room Live Q&A Session:

Super-Resolution with Conditional-GAN for MR Brain Images

Author:Alessandro Sciarra  Max Dünnwald  Hendrik Mattern  Oliver Speck  Steffen Oeltze-Jafra  

Institution:Otto von Guericke University  Center for Behavioral Brain Sciences (CBBS)  German Center for Neurodegenerative Disease  Leibniz Institute for Neurobiology  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3540  

Room Live Q&A Session:

USR-Net: A Simple Unsupervised 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:Royal Brompton Hospital  University of Cambridge  Imperial College London  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3537  

Room Live Q&A Session:

Visualizing intrinsic magnetic resonance imaging (MRI) dataset variations in image-space through Bayesian deep auto-encoding

Author:Andrew Leynes  Abhejit Rajagopal  Valentina Pedoia  Peder Larson  

Institution:University of California San Francisco  University of California Berkeley - University of California San Francisco Joint Graduate Program in Bioengineering  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Post Processing, Analysis, & Applications  

Session Name:Machine Learning: Super-Resolution, Synthesis & Adversarial Learning  

Program Number:3548  

Room Live Q&A Session: