A cluster-based diffusion spectrum analysis of diffusion-attenuated signal in glioma

A Transfer Learning-based Radiomics Model for Prediction MGMT Promotor Methylation Status in Glioblastoma Multiforme

Classification of Parkinson‘s disease with diffusion magnetic resonance imaging by machine learning methods

Author:Wenliang Fan  

Institution:Union Hospital, Tongji Medical College, Huazhong University of Science and Technology  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3089  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 98  

Comparing supervised and unsupervised machine learning frameworks based upon quantitative-MRI features in differentiation between non-enhancing tumor and vasogenic edema of glioma patients and validation using histopathological ground-truth

Author:Neha Vats  Anirban Sengupta  Dinil Sasi  Rakesh Gupta  R.P. Chauhan  Virendra Yadav  Sumeet Agarwal  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  NIT Kurukshetra  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3072  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 81  

Conventional MR-based machine learning for distinguishing brain glioma and solitary metastasis

Deep learning for prognosis in Degenerative cervical myelopathy

Author:Lucas Rouhier  Matthieu Parizet  Muhammad Akbar  Michael Weber  Michael Fehlings  Julien Cohen-Adad  

Institution:McGill University  Polytechnique Montreal  University of Toronto  Université de Montréal  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3086  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 95  

Development and Validation of a Radiomics model Based on Conventional MRI for Preoperative Prediction of Gliomas with IDH1 Mutations

Author:Liang Han  Yanwei Miao  Junyi Dong  Xiaoxin Li  Lizhi Xie  Kaiyu Wang  Qingwei Song  Ailian Liu  

Institution:Ge Healthcare  GE Healthcare  the first Affiliated Hospital of Dalian Medical University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3075  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 84  

Differentiation of Non-enhancing tumor region from Vasogenic edema in high-grade glioma using a machine learning framework based upon conventional MRI feature

Author:Anirban Sengupta  Neha Vats  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  NIT Kurukshetra  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3070  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 79  

Enhanced isocitrate dehydrogenase mutation classification in lower grade gliomas with deep learning and CEST and MTC MRI

Evidence pinpointing of Intervertebral disc herniation with weak supervision

Author:Fei Gao  Shui Liu  Xiaodong Zhang  Jue Zhang  Xiaoying Wang  

Institution:Peking University  Peking University  Peking University First Hospital  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3091  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 100  

Fully automated segmentation of meningiomas using a specially trained deep-learning-model on multiparametric MRI

Grading of glioma using a machine learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components

Author:Anirban Sengupta  Sumeet Agarwal  Rakesh Gupta  Dinil Sasi  Ayan Debnath  Anup Singh  

Institution:Fortis Memorial Research Institute  IIT Delhi  University of Pennysylvania  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3069  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 78  

Improved classification of paediatric brain tumours through whole spectra from in vivo magnetic resonance spectroscopy

Author:Dadi Zhao  James Grist  Yu Sun  Andrew Peet  

Institution:University of Birmingham  Birmingham Children’s Hospital NHS Foundation Trust  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3083  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 92  

Integrating Machine Learning and Image Inpainting to Predict Tumour Invasion in Glioblastoma using multi-parametric MRI

Author:Chao Li  Pan Liu  Shuo Wang  Carola-Bibiane Schönlieb  Stephen Price  

Institution:University of Cambridge  Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3078  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 87  

MRI-based deep learning prediction of high amino acid uptake region to improve survival prediction in patents with glioblastoma: A 3D U-net study with deeply learned inter-scanner multi-modal MRI and alpha-[11C]-methyl-L-tryptophan (AMT) PET

Author:Jeong-Won Jeong  Min-Hee Lee  Flora John  Sandeep Mittal  Csaba Juhasz  

Institution:Wayne State University  Children's Hospital of Michigan  Karmanos Cancer Institute  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3073  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 82  

MRI-based radiomics in pituitary adenomas: pre-treatment prediction of prolactin expression

Author:Mo Zhanhao  Li Xuejia  Sui He  Liu Lin  

Institution:China-Japan Union Hospital of Jilin University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3082  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 91  

Predicting molecular subgroups of medulloblastoma using a quantitative radiomics approach

Prediction of Chronological Age from Intracranial Time-of-Flight Magnetic Resonance Angiography Images by Deep Convolutional Neural Network

Author:Inpyeong Hwang  Hyeonjin Kim  Ji-hoon Kim  

Institution:Seoul National University Hospital  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3088  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 97  

Presurgical Differentiation between Malignant Haemangiopericytoma and Angiomatous Meningioma by a Radiomics Approach based on Texture Analysis

Author:Xuanxuan Li  Yiping Lu  Jianxun Qu  Bo Yin  Daoying Geng  

Institution:Ge Healthcare  GE Healthcare  Huashan Hospital Affiliated to Fudan University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3085  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 94  

Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist in the Diagnosis of Idiopathic Parkinson’s Disease

Radiomics Approach for Prediction of Tumor Recurrence and Progression of Skull Base Meningioma

Radiomics approach in differentiating the true progression from pseudoprogression in malignant gliomas treated with concurrent radiotherapy and temozolomide chemotherapy

Testing Machine Learning Algorithms using Anisotropy Indices of Normal Appearing White Matter as Predictors of Molecular Grouping of Gliomas

Author:Hande Halilibrahimoglu  Korhan Polat  Seda Keskin  Oguzhan Aslan  Ozan Genc  Koray Ozduman  Cengiz Yakicier  Esin Ozturk Isik  M. Necmettin Pamir  Alp Dincer  Alpay Ozcan  

Institution:Acibadem Mehmet Ali Aydinlar Univesity  Bogazici University  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:15:45  

Session Name:Artificial Intelligence Is Taking Over Your Brain 2  

Program Number:3077  

Presentation Time:15:45   

Room Number:Exhibition Hall  

Computer Number:Computer 86