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Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning

Title:	Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning
Authors:	Zeng, Minyan^{Aff14, Aff15}; Xie, Yutong^Aff14; To, Minh-Son^{Aff14, Aff16}; Oakden-Rayner, Lauren^{Aff14, Aff17}; Whitbread, Luke^{Aff14, Aff18}; Bacchi, Stephen^{Aff16, Aff17}; Bird, Alix^{Aff14, Aff15}; Smith, Luke^{Aff14, Aff15}; Scroop, Rebecca^Aff17; Kleinig, Timothy^Aff17; Jannes, Jim^Aff17; Palmer, Lyle J^{Aff14, Aff15}; Jenkinson, Mark^{Aff14, Aff18, Aff19}
Contributors:	Goos, Gerhard, Founding Editor^Aff1; Hartmanis, Juris, Founding Editor^Aff2; Bertino, Elisa, Editorial Board Member^Aff3; Gao, Wen, Editorial Board Member^Aff4; Steffen, Bernhard, Editorial Board Member^Aff5; Yung, Moti, Editorial Board Member^Aff6; Greenspan, Hayit, editor^Aff7; Madabhushi, Anant, editor^Aff8; Mousavi, Parvin, editor^Aff9; Salcudean, Septimiu, editor^Aff10; Duncan, James, editor^Aff11; Syeda-Mahmood, Tanveer, editor^Aff12; Taylor, Russell, editor^Aff13
Source:	Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part V. 14224:696-705
Database:	Springer Nature eBooks