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Automated assessment of longitudinal White Matter Hyperintensities changes using a novel convolutional neural network in CADASIL

Author:Valentin Demeusy  Florent Roche  Fabrice Vincent  Jean-Pierre Guichard  Jessica Lebenberg  Eric Jouvent  Hugues Chabriat  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2432  

Room Session:Concurrent 1  

Institution:APHP  INSERM U1141  Medpace  Université de Paris  

Automatic extraction of reproducible semi-quantitative histological metrics for MRI-histology correlations

Author:Daniel Kor  Saad Jbabdi  Jeroen Mollink  Istvan Huszar  Menuka Pallebage- Gamarallage  Adele Smart  Connor Scott  Olaf Ansorge  Amy Howard  Karla Miller  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2433  

Room Session:Concurrent 1  

Institution:University of Oxford  

Bias correction for PET/MR attenuation correction using generative adversarial networks

Author:Bendik Skarre Abrahamsen  Tone Frost Bathen  Live Eikenes  Mattijs Elschot  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2425  

Room Session:Concurrent 1  

Institution:NTNU  St. Olavs Hospital, Trondheim University Hospital  

A Comparative Study of Deep Learning Based Deformable Image Registration Techniques

Author:Soumick Chatterjee  Himanshi Bajaj  Suraj Bangalore Shashidhar  Sanjeeth Busnur Indushekar  Steve Simon  Istiyak Hossain Siddiquee  Nandish Bandi Subbarayappa  Oliver Speck  Andreas Nürnberger  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2436  

Room Session:Concurrent 1  

Institution:Otto von Guericke University  German Centre for Neurodegenerative Diseases  Center for Behavioral Brain Sciences  Leibniz Institute for Neurobiology  

Direct Synthesis of Multi-Contrast Images from MR Multitasking Spatial Factors Using Deep Learning

Author:Shihan Qiu  Yuhua Chen  Sen Ma  Zhaoyang Fan  Anthony Christodoulou  Yibin Xie  Debiao Li  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2429  

Room Session:Concurrent 1  

Institution:Biomedical Imaging Research Institute, Cedars-Sinai Medical Center  UCLA  

Do you Agree? An Exploration of Inter-rater Variability and Deep Learning Segmentation Uncertainty

Author:Katharina Hoebel  Christopher Bridge  Jay Patel  Ken Chang  Marco Pinho  Xiaoyue Ma  Bruce Rosen  Tracy Batchelor  Elizabeth Gerstner  Jayashree Kalpathy-Cramer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2419  

Room Session:Concurrent 1  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  Massachusetts General Hospital  the First Affiliated Hospital of Zhengzhou University  Harvard-MIT Division of Health Sciences and Technology  MGH and BWH Center for Clinical Data Science  

Does Simultaneous Morphological Inputs Matter for Deep Learning Enhancement of Ultra-low Amyloid PET/MRI?

Author:Kevin Chen  Olalekan Adeyeri  Tyler Toueg  Elizabeth Mormino  Mehdi Khalighi  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2422  

Room Session:Concurrent 1  

Institution:Salem State University  Stanford University  

Evaluation of Automated Brain Tumor Localization by Explainable Deep Learning Methods

Author:Morteza Esmaeili  Vegard Antun  Riyas Vettukattil  Hassan Banitalebi  Nina Krogh  Jonn Terje Geitung  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2435  

Room Session:Concurrent 1  

Institution:Akershus University Hospital  University of Oslo  

Federated Multi-task Image Classification on Heterogeneous Medical data with Privacy Perversing

Author:Shenjun Zhong  Adam Morris  Zhaolin Chen  Gary Egan  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2418  

Room Session:Concurrent 1  

Institution:Monash University, Australia  

Harmonization of multi-site T1 data using CycleGAN with segmentation loss (CycleGANs)

Author:Suheyla Cetin-Karayumak  Evdokiya Knyazhanskaya  Brynn Vessey  Sylvain Bouix  Benjamin Wade  David Tate  Paul Sherman  Yogesh Rathi  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2421  

Room Session:Concurrent 1  

Institution:Ahmanson-Lovelace Brain Mapping Center, UCLA  Brigham and Women's Hospital  Brigham and Women's Hospital and Harvard Medical School  U.S. Air Force School of Aerospace Medicine  University of Utah  

MRI-based deep learning model in differentiating benign from malignant renal tumors: a comparison study with radiomics analysis

Author:Qing Xu  Weiqiang Dou  Jing Ye  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2434  

Room Session:Concurrent 1  

Institution:GE Healthcare, MR Research China  Northern Jiangsu People's Hospital  

Multi-contrast CS reconstruction using data-driven and model-based deep neural networks

Author:Tomoki Miyasaka  Satoshi Funayama  Daiki Tamada  Utaroh Motosugi  Hiroyuki Morisaka  Hiroshi Onishi  Yasuhiko Terada  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2427  

Room Session:Concurrent 1  

Institution:Kofu-Kyoritsu Hospital  University of Tsukuba  University of Yamanashi  

Multi-Contrast MRI Reconstruction from Single-Channel Uniformly Undersampled Data via Deep Learning

Author:Christopher Man  Linfang Xiao  Yilong Liu  Vick Lau  Zheyuan Yi  Alex T. L. Leong  Ed X. Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2431  

Room Session:Concurrent 1  

Institution:The University of Hong Kong  Southern University of Science and Technology  

Multimodal Image Fusion Integrating Tensor Modeling and Deep Learning

Author:Wenli Li  Ziyu Meng  Ruihao Liu  Zhi-Pei Liang  Yao Li  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2426  

Room Session:Concurrent 1  

Institution:Shanghai Jiao Tong University  University of Illinois at Urbana-Champaign  

Multi-sequence and multi-regional background segmentation on multi-centric DSC and DCE MRI using deep learning

Author:Henitsoa Rasoanandrianina  Anais BERNARD  Guillaume GAUTIER  Julien ROUYER  Yves HAXAIRE  Christophe AVARE  Lucile BRUN  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2430  

Room Session:Concurrent 1  

Institution:Avicenna.ai  Olea Medical  

Multi-Task Learning based 3-Dimensional Striatal Segmentation of MRI – PET and fMRI Objective Assessment

Author:Mario Serrano-Sosa  Jared Van Snellenberg  Jiayan Meng  Jacob Luceno  Karl Spuhler  Jodi Weinstein  Anissa Abi-Dargham  Mark Slifstein  Chuan Huang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2423  

Room Session:Concurrent 1  

Institution:NYU Langone  Renaissance School of Medicine at Stony Brook University  Stony Brook University  

Prospective Performance Evaluation of the Deep Learning Reconstruction Method at 1.5T: A Multi-Anatomy and Multi-Reader Study

Author:Hung Do  Mo Kadbi  Dawn Berkeley  Brian Tymkiw  Erin Kelly  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2417  

Room Session:Concurrent 1  

Institution:Canon Medical Systems USA, Inc.  

Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

Author:Rutwik Shah  Bruno Astuto Arouche Nunes  Tyler Gleason  Justin Banaga  Kevin Sweetwood  Allen Ye  Will Fletcher  Rina Patel  Kevin McGill  Thomas Link  Valentina Pedoia  Sharmila Majumdar  Jason Crane  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2420  

Room Session:Concurrent 1  

Institution:University of California San Francisco  

Unsupervised deep learning for multi-modal MR image registration with topology-preservingdual consistency constraint

Author:Yu Zhang  Weijian Huang  Fei Li  Qiang He  Haoyun Liang  Xin Liu  Hairong Zheng  Shanshan Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2428  

Room Session:Concurrent 1  

Institution:Shenzhen Inst. of Advanced Technology  United Imaging Research Institute of Innovative Medical Equipment  

Zero-dose FDG PET Brain Imaging

Author:Jiahong Ouyang  Kevin Chen  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2424  

Room Session:Concurrent 1  

Institution:Stanford University