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

A Machine Learning approach to Predict Age-Related Motor Performance using MRI-MRS data

Author:Akila Weerasekera  Adrian Ion-Margineanu  Oron Levin  Diana Sima  Sabine Van Huffel  Stephan Swinnen  Uwe Himmelreich  

Institution:icometrix  Philips UK  University of Leuven  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0026  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

AUTOMATED BRAIN TISSUE SEGMENTATION USING DEEP LEARNING AND IMPERFECT LABELING

Automatic detection and classification of brain tumors using deep learning and based on conventional MRI and clinical information

Author:Moran Artzi  Moshe Yerachmiel  Snir Shalom  Dafna Ben Bashat  

Institution:Tel Aviv Sourasky Medical Center  Tel Aviv University  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0021  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Automatic segmentation and follow-up of optic pathway gliomas using deep learning and based on conventional MRI

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:

Functional MRI-based Deep Learning Classification between Temporal Lobe Epilepsy Patients and Healthy Controls

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning

Author:Yong Chen  Zhenghan Fang  Dinggang Shen  Weili Lin  

Institution:University of North Carolina at Chapel Hill  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0017  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Hippocampal segmentation for brains with extensive atrophy using three-dimensional convolutional neural networks

Author:Maged Goubran  Edward Ntiri  Hassan Akhavein  Melissa Holmes  Sean Nestor  Ramirez Joel  Sabrina Adamo  Fuqiang Gao  Christopher Scott  Anne Martel  Walter Swardfager  Mario Masellis  Rick Swartz  Bradley MacIntosh  Sandra Black  

Institution:Sunnybrook Research Institute  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0028  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

MR IMAGE RECONSTRUCTION FROM UNDERSAMPLED k-SPACE USING DEEP LEARNING

Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets

Author:Adnan Ahmad  Srinjay Sarkar  Apurva Shah  Santosh Vani  Jitender Saini  Madhura Ingalhalikar  

Institution:National Institute of Mental Health and Neurosciences  Symbiosis International University  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0023  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Synthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation

Author:Peng Cao  Jing Liu  Shuyu Tang  Andrew Leynes  Peder Larson  

Institution:University of California at San Francisco  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0016  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Thalamic Connectome Based Machine Learning for Predicting Individual Symptoms after Mild Traumatic Brain Injury

Author:Chia-Feng Lu  Yu-Chieh Kao  Li-Chun Hsieh  Sho-Jen Cheng  Nai-Chi Chen  Cheng-Yu Chen  

Institution:National Yang-Ming University  Taipei Medical University  Taipei Medical University Hospital  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0025  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Using convolutional neural networks to predict infarct development in acute ischemic stroke patients:  does reperfusion status matter?

Author:Yuan Xie  Yannan Yu  Thoralf Thamm  Charles Huang  Enhao Gong  Soren Christensen  Maarten Lansberg  Greg Zaharchuk  

Institution:Stanford University  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0030  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number: