Browse All

Current Filters

CLEAR FILTER x

TITLE

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

Author:Yoon-Chul Kim  In-Young Baek  Ji-Eun Lee  Ha Na Song  Woo-Keun Seo  

Institution:Samsung Medical Center, Sungkyunkwan University Sch. of Med.  Samsung Medical Center, Sungkyunkwan University School of Medicine  

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:1903  

Room Live Q&A Session:

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

Author:Xiaoxue Liu  Baoming Li  Jianrui Li  Li Yu  Jun Xu  Guangming Lu  Zhiqiang Zhang  

Institution:Jinling Hospital, Nanjing University School of Medicine  Jiangsu Key Laboratory of Big Data Analysis Technique and CICAEET, Nanjing University of Information Science and Technology  

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:1913  

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

Author:Jinghua Wang  Ming Chen  Lili He  Hailong Li  Vivek Khandwala  David Wang  Brady Williamson  Daniel Woo  Achala Vagal  

Institution:Cincinnati Children’s Hospital Medical Center  University of Cincinnati  

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:1909  

Room Live Q&A Session:

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

Author:Yuya Saito  Akihiko Wada  Shimpei Kato  Koji Kamagata  Masaaki Hori  Shigeki Aoki  

Institution:Juntendo University  Toho University Omori Medical Center  Tokyo Metropolitan 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:1906  

Room Live Q&A Session:

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

Author:Suhail Parvaze  Mamta Gupta  Anup Singh  Rana Patir  Sunita Ahlawat  Madhura Ingalhalikar  Neha Vats  Rakesh Gupta  

Institution:Fortis Memorial Research Institute  Indian Institute of Technology  Philips Innovation Campus  Symbiosis Center for Medical Image analysis, Symbiosis International 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:1914  

Room Live Q&A Session:

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:

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

Author:Jinghua Wang  Ming Chen  Lili He  Hailong Li  Vivek Khandwala  David Wang  Brady Williamson  Daniel Woo  Achala Vagal  

Institution:Cincinnati Children’s Hospital Medical Center  University of Cincinnati  

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:1910  

Room Live Q&A Session:

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

Author:Chia-Feng Lu  Cheng-Chia Lee  Hsiu-Mei Wu  Huai-Che Yang  Man-Chin Chen  Chung-Jung Lin  Wan-Yuo Guo  Wen-Yuh Chung  

Institution:National Yang-Ming University  Taipei Veteran General Hospital  

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:1905  

Room Live Q&A Session:

Radiomics and Machine Learning for Prediction of Recurrence in Meningiomas

Author:Ching-Chung Ko  Yang Zhang  Kai-Ting Chang  Jeon-Hor Chen  Min-Ying Su  

Institution:Chi Mei Medical Center  University of California  Chia Nan University of Pharmacy and Science  E-Da Hospital/I-Shou 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:1907  

Room Live Q&A Session:

Radiomics Approach for Prediction of Recurrence in Pituitary Macroadenomas

Author:Ching-Chung Ko  Kai-Ting Chang  Yang Zhang  Jeon-Hor Chen  Min-Ying Su  

Institution:Chi Mei Medical Center  University of California  Chia Nan University of Pharmacy and Science  E-Da Hospital/I-Shou 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:1908  

Room Live Q&A Session:

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

Author:Zhe Liu  Wenxin Xue  Xiaotong Liu  Ting Liang  Chao Jin  Xiaocheng Wei  Buyue Qian  Jian Yang  

Institution:GE Healthcare,  The first affiliated Hospital of Xi’an Jiaotong University  Xi’an Jiaotong 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:1915  

Room Live Q&A Session:

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

Author:Sumeet Shinde  Tanay Chougule  Jitender Saini  Madhura Ingalhalikar  

Institution:National Institute of Mental Health and Neurosciences  Symbiosis International 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:1911  

Room Live Q&A Session:

Validating multimodal MRI based stratification of IDH genotype using radiomics and CNNs

Author:Madhura Ingalhalikar  Tanay Chougule  Sumeet Shinde  Vani Santosh  Jitender Saini  

Institution:National Institute of Mental Health and Neurosciences  Symbiosis International 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:1912  

Room Live Q&A Session: