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Added Value of DCE in Machine Learning-based Tumor Probability Maps for Predicting Clinically Significant Cancer Foci in Pre-biopsy MR images

Author:Gabriel Nketiah  Léo Pallas  Adrian Breto  Radka Stoyanova  Mattijs Elschot  Tone Bathen  

Institution:University of Miami  CPE Lyon  Norwegian University of Science and Technology  St. Olavs University Hospital  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning, Imaging Optimization, and Cancer  

Session Name:Body Trunk Cancer  

Program Number:0832  

Room Live Q&A Session:Wednesday Parallel 3  

Multi-exponential model of diffusion signal in healthy and cancerous breast tissue with fixed ADCs

Author:Ana Rodríguez-Soto  Maren Andreassen  Christopher Conlin  Helen Park  Igor Vidic  Neil Jerome  Agnes Østlie  Tone Bathen  Pål Goa  Tyler Seibert  Michael Hahn  Anders Dale  Rebecca Rakow-Penner  

Institution:Norwegian University of Science and Technology  St. Olav's University Hospital  University of California, San Diego  

Session Type:Digital Poster  

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

Topic:Thoracic and Breast MRI  

Session Name:Breast (DWI)  

Program Number:2328  

Room Live Q&A Session:

The repeatability of deep learning-based segmentation of the prostate on T2-weighted MR images

Author:Mohammed R. S. Sunoqrot  Sandra Kucharczak  Magdalena Grajek  Kirsten Selnæs  Tone Bathen  Mattijs Elschot  

Institution:Adam Mickiewicz University  NTNU, Norwegian University of Science and Technolog  St. Olavs Hospital, Trondheim University Hospital  

Session Type:Digital Poster  

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

Topic:Abdominopelvic MRI - Cancer  

Session Name:Deep Prostatomics  

Program Number:2387  

Room Live Q&A Session: