Biomarkers for CTE diagnosis in retired NFL player using Machine learning

Author:Marcia Louis  Michael Alosco  Benjamin Rowland  Huijin Liao  Joseph Wang  Ajay Joshi  Robert Stern  Alexander Lin  

Author Institution:Boston University  Brigham and Women's Hospital  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0895  

Presentation Time:16:39  

Room Number:N02  

Computer Number:

Classification of Dense Tumor, Tumor Necrosis and Tumor Infiltration in Glioma: Machine Learning and Diffusion MRI

Author:Zezhong Ye  Xiran Liu  Joshua Lin  Liang Wang  Richard Price  Peng Sun  Jeff Viox  Sonika Dahiya  Albert Kim  Jr-Shin Li  Sheng-Kwei Song  

Author Institution:Washington University in St. Louis  Washington University School of Medicine  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0893  

Presentation Time:16:15  

Room Number:N02  

Computer Number:

Early Prediction of Language Deficits in Very Preterm Infants Using Functional Connectome Data and Machine Learning

Author:Lili He  Hailong Li  Nehal Parikh  

Author Institution:Cincinnati Children’s Hospital Medical Center  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0900  

Presentation Time:17:39  

Room Number:N02  

Computer Number:

Identifying Individual Motor Function Using Machine Learning Predication Based on Resting-State fMRI for Presurgical Mapping in Patients with Brain Tumor

Author:Chen Niu  Elizabeth Zakszewski  Alexander Cohen  Xiao Ling  Ming Zhang  Maode Wang  Yang Wang  

Author Institution:First Affiliated Hospital of Xi'An Jiaotong University  Medical College of Wisconsin  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0898  

Presentation Time:17:15  

Room Number:N02  

Computer Number:

Improved Prediction of the Final Infarct from Acute Stroke Neuroimaging Using Deep Learning

Author:Yilin Niu  Enhao Gong  Junshen Xu  Thoralf Thamm  John Pauly  Greg Zaharchuk  

Author Institution:Stanford University  Tsinghua University  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0902  

Presentation Time:18:03  

Room Number:N02  

Computer Number:

Machine learning and rapid multi-parametric relaxometry can differentiate demyelinating disorders with high accuracy

Machine learning classification of Parkinson’s disease using brainstem MRI and demographic features

Author:Daniel Huddleston  Babak Mahmoudi  Jason Langley  Mark Connolly  Stewart Factor  Bruce Crosson  Xiaoping Hu  

Author Institution:Emory University School of Medicine  University of California Riverside  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0901  

Presentation Time:17:51  

Room Number:N02  

Computer Number:

Machine learning with amide proton transfer and magnetization transfer MRI for predicting IDH mutation status in diffuse gliomas

Author:Shanshan Jiang  Hye-Young Heo  Qihong Rui  Hao Yu  Yu Wang  Charles Eberhart  Peter Van Zijl  Zhibo Wen  Jinyuan Zhou  

Author Institution:Johns Hopkins University  Zhujiang Hospital, Southern Medical University  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0894  

Presentation Time:16:27  

Room Number:N02  

Computer Number:

Prediction of Tumor Progression Time Interval in Malignant Glioma Using Textural Information derived from FLAIR and T1c MR-images and Machine Learning

Author:Johannes Slotboom  Urspeter Knecht  Nuno Pedrosa de Barros  Timo Nannen  Martin Zbinden  Ekkehard Hewer  Erik Vassella  Alessia Pica  Philippe Schucht  Jürgen Beck  Andreas Raabe  Jan Gralla  Roland Wiest  Marwan El-Koussy  

Author Institution:Paul Scherrer Institute  University Bern  University Hosiptal Bern  

Session Type:Oral  

Session Date:Wednesday, 20 June 2018  

Session Time:16:15  

Session:Machine Learning in Neuroimaging  

Program Number:0896  

Presentation Time:16:51  

Room Number:N02  

Computer Number:

Radiogenomics of 154 WHO grade 2 and 3 gliomas via machine learning and the impact of texture analysis