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3D Mask R-CNN model comparison for brain tumor segmentation in individual modality dataset

Application of GAN in optimizing compressed sensed MR imaging of brachxial plexus

Automated Segmentation of Brain Meningioma MRIs with Generative Adversarial Networks

Author:Agata Sularz  Fulvio Zaccagna  Dimitri Kessler  Fraser Tonnard  Sonia Benitez  Thomas Santarius  Fiona Gilbert  Tomasz Matys  Joshua Kaggie  

Institution:University of Cambridge  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1894  

Room Live Q&A Session:

Automatic Assessment of DWI-ASPECTS for Assessment of Acute Ischemic Stroke using Recurrent Residual Convolutional Network

Automatic deep learning segmentation of grey and white matter lesions in 7T MRI data

Author:Frederik Sandig  Julian Emmerich  Edris El-Sanosy  Mark Ladd  Heinz-Peter Schlemmer  Sina Straub  

Institution:German Cancer Research Center (DKFZ)  Heidelberg University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1879  

Room Live Q&A Session:

Automatic feature extraction and machine learning prediction of stroke functional outcome based on histogram information of baseline ADC

Can MRI of the lumbar spine identify neurogenic claudication patients reliably? - Comparison of single variable and machine learning approaches.

Author:Richard Gagen  Carmen Dragos  Charles Hutchinson  

Institution:University Hospital Covenry and Warwickshire  University of Warwick  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1901  

Room Live Q&A Session:

Combined Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe) and Pyradiomics features to predict the prognosis of gliomas.

Decoupling the default mode network and global state oscillation by neural network-based prediction of the fMRI signal fluctuation

Deep learning based image reconstruction for improved multiparameter mapping and synthetic MRI

Deep Learning Enables Accurate Quantitative Volumetric Brain MRI with 2x Faster Scan Times

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

Institution:CorTechs Labs Inc  RadNet  Stanford University  Subtle Medical Inc  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1877  

Room Live Q&A Session:

Deep Learning for Classifying Patients with Obstructive Sleep Apnea from Healthy Controls using High-resolution T1-weighted Images

Author:Bo Pang  Bhaswati Roy  Milena Lai  Luke Ehlert  Ravi Aysola  Daniel Kang  Ariana Anderson  Rajesh Kumar  

Institution:University of California at Los Angeles  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1902  

Room Live Q&A Session:

Deep Learning synthesis of PET-like CBF maps from arterial spin labeling MRI: Rapid Clinical Deployment & Evaluation

Author:David Shin  David Chen  Audrey Fan  Moss Zhao  Jia Guo  Suchandrima Banerjee  Greg Zaharchuk  

Institution:GE Healthcare  Stanford University  University of California  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1895  

Room Live Q&A Session:

A Deep Transfer Learning Model to Predict Patient Outcome in ICH using the Fusion of Clinical and Fluid-Attenuated Inversion Recovery Imaging Data

Deep-Learning based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images

Deep-Learning Reconstruction Method for Improved High-Resolution Imaging of the Lateral Rectus-Superior Rectus Band in a Clinical Setting

Author:Patrick Quarterman  Gul Moonis  Marc Lebel  

Institution:Columbia University  GE Healthcare  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1897  

Room Live Q&A Session:

Detection of cerebral infarction and estimation of vascular territory via deep convolutional autoencode

Differentiation of adult supratentorial ependymomas from high grade gliomas using textural features based on diffusion weighted imaging.

Author:Abhilasha Indoria  Madhura Ingalhalikar  Jitender Saini  

Institution:NIMHANS  Symbiosis International University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1892  

Room Live Q&A Session:

The efficacy of half dose gadolinium for contrast enhanced MRI of the brain using artificial intelligence algorithms and machine learning.

An end-to-end MR-based classification of arteriolar sclerosis using 3D convolutional neural networks

Evidence of altered degree centrality on patients with HIV: a machine learning approach

Author:Danhui Fu  Guanqiao Jin  Lidong Liu  Wenjuan Deng  Sen Hong  Qianlin Ding  Long Qian  Weiyin Liu  Danke Su  

Institution:GuangXi Medical University Cancer Hospital  MR Research, GE Healthcare  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1898  

Room Live Q&A Session:

Fast prediction of whole-brain cerebral microbleed masks from 7T SWI imaging with a deep residual 3D UNet

Author:James Golden  Yicheng Chen  Melanie Morrison  Kate Nelson  Janine Lupo  

Institution:University of California San Francisco  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Applications from Stroke to MS  

Program Number:1869  

Room Live Q&A Session:

Feasibility of deep learned reconstruction for dual-echo fast spin echo based T2 mapping of the hippocampus and hippocampal subfield

Author:Ho-Joon Lee  Yeonah Kang  Marc Lebel  Min Soo Park  Joonsung Lee  

Institution:GE Healthcare  GE Healthcare Korea  Haeundae Paik Hospital  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1889  

Room Live Q&A Session:

Fetal Cortical Plate Segmentation using 2D Recurrent Residual U-Net with Plane Aggregation

Author:Jinwoo Hong  HyukJin Yun  Gilsoon Park  Jong-Min Lee  Kiho Im  

Institution:Boston Children's Hospital  Hanyang University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Applications from Stroke to MS  

Program Number:1870  

Room Live Q&A Session:

Functional and structural connectivity predict MS patients’ impairment level using an ensemble model applied with a machine learning method

Author:Ceren Tozlu  Keith Jamison  Susan Gauthier  Amy Kuceyeski  

Institution:Weill Cornell Medicine  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1886  

Room Live Q&A Session:

Identifying texture features that may serve as bio-markers of various subgroups of glioblastoma segmented using T1-perfusion MRI

Improving Segmentation Method with the Combination between Deep Learning and Uncertainties in Brain Tumor

Author:Joohyun Lee  Jongho Lee  Haejin Kim  

Institution:Hongik University  Seoul National University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Tumour & Hemorrhage  

Program Number:1904  

Room Live Q&A Session:

Incorporating Deep Learning into Multi-shot EPI DWI Reconstruction

Author:Hui Zhang  Ziying Feng  Fei Dai  Weibo CHEN  Yishi Wang  Chengyan Wang  He Wang  

Institution:Fudan University  Philips Healthcare  Philips Heathcare  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1881  

Room Live Q&A Session:

Initial clinical evaluation of deep-learning-based image synthesis and superresolution using a clinical dataset of patients with brain lesions

Author:Ai Nakao  Daiki Tamada  Tomohiro Takamura  Shintaro Ichikawa  Utaroh Motosugi  Yasuhiko Terada  

Institution:University of Tsukuba  University of Yamanashi  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1883  

Room Live Q&A Session:

A Machine Learning Approach for investigation of white matter abnormalities in Parkinson’s disease

Author:xiao hu  chaoyong xiao  xiangrong zhang  sidong liu  zaixu cui  weiguo liu  Long Qian  

Institution:Macquarie University  nanjing brain Hospital  Peking University  University of Pennsylvania  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 4  

Program Number:1899  

Room Live Q&A Session:

A Machine Learning Based Method to Distinguish between Tumor and Non-Tumor within FLAIR Non-Enhancing Regions of Brain Lesions

Author:Robert Wujek  Melissa Prah  Mona Al-Gizawiy  Kathleen Schmainda  

Institution:Medical College of Wisconsin  Marquette University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1882  

Room Live Q&A Session:

A machine learning model using T2-weighted FLAIR radiomics features to predict patient outcome in ICH

On Differentiation of Pilocytic Astrocytoma from High-Grade-Glioma Tumor using Machine Learning Based upon Quantitative T1 Perfusion MRI

Predicting suicidal ideation from depressive patients using autoencoder machine-learning model with brain generalized q-sampling imaging

Prediction of Hemorrhage Free Survival after Gamma Knife Radiosurgery Based on Preradiosurgical MR Radiomics in Cavernous Malformation

Quantitative imaging enhancement with deep learning based denoising: a validation study

Author:Valentin Prevost  Bei Zhang  Clemence Bal  Wolter de Graaf  

Institution:Bordeaux University  Canon Medical Systems Corporation  Canon Medical systems Europe  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1878  

Room Live Q&A Session:

Radiomics and Machine Learning for Prediction of Recurrence in Meningiomas

Radiomics Approach for Prediction of Recurrence in Pituitary Macroadenomas

Radiomics biomarker analysis for differentiating glioblastoma and brain solitary metastasis from lung cancer using T2-weighted imaging

A radiomics signature for supratentorial extra-ventricular ependymomas on multimodal MRI

Rapid brain segmentation in T1w MRI with fully convolutional networks: development and comparison of different network constructions

Realistic MRI simulation pipeline for anatomically variable normal young, aging and diseased brain

Regional gray matter volume predicts HIV-positive patients with HAND using a machine learning approach

Author:Danhui Fu  Guanqiao Jin  Lidong Liu  Wenjuan Deng  Wei Zhang  Qianlin Ding  Weiyin Liu  Long Qian  Danke Su  

Institution:GuangXi Medical University Cancer Hospital  MR Research, GE Healthcare  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1884  

Room Live Q&A Session:

Representation Learning of Fiber Tracts and Direct Comparison of Tract Distributions

Author:Kaikai Shen  Lee Reid  Samantha Burnham  Jurgen Fripp  

Institution:CSIRO  Macquarie University  Rapiscan Systems  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1880  

Room Live Q&A Session:

A robust transfer learning method to improve early diagnosis of autism spectrum disorder classification

Author:Bonian Lu  Gopikrishna Deshpande  

Institution:Auburn University  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Applications from Stroke to MS  

Program Number:1872  

Room Live Q&A Session:

A Support Vector Machine Prediction Model for HIV-Status in Adults Using Magnetic Resonance Angiography and Arterial Spin Labeling of the Brain

Author:Kyle Murray  Igor Titoff  Henry Wang  Jianhui Zhong  Giovanni Schifitto  

Institution:University of Rochester  

Session Type:Digital Poster  

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

Topic:Neuroimaging and AI  

Session Name:Neuroimaging & AI: Poster Session 3  

Program Number:1885  

Room Live Q&A Session: