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Addition of peritumoral area improves T1-weighted texture-based prediction of glioblastoma multiforme progression

Author:George Zenzerovich  Tim Duong  

Institution:Stony Brook University  

Session Type:Digital Poster  

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

Topic:Brain tumors  

Session Name:Brain Tumour: Radiomics  

Program Number:1727  

Room Live Q&A Session:

Artificial Intelligence Prediction of Breast Cancer Pathologic Complete Response from Axillary Lymph Node MRIs

Deep Shoulder CT Image Synthesis from MR via Context-aware 2.5D Generative Adversarial Networks

MRI and PET for staging of axillary lymph nodes in breast cancer at diagnosis

Texture-based radiomics of peritumoral tissue predict subsequent progression into cancer in Glioblastoma Multiforme

Author:Ike Zhang  Tim Duong  

Institution:Stony Brook University  

Session Type:Digital Poster  

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

Topic:Brain tumors  

Session Name:Brain Tumour: Radiomics  

Program Number:1731  

Room Live Q&A Session:

Weakly Supervised Exclusion of Non-Tumoral Enhancement in Low Volume Dataset for Breast Tumor Segmentation