Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study

25 April 2021

Guang Yang

Papers citing "Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study"

5 / 5 papers shown

Title
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 24 73 0 23 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images Qinghao Ye Yuan Gao Weiping Ding Z. Niu Chengjia Wang ... Minhao Wang E. Fang Wade Menpes-Smith Jun Xia Guang Yang OOD 26 33 0 09 Dec 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives Guang Yang Jun Lv Yutong Chen Jiahao Huang Jin Zhu MedIm 26 9 0 04 May 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 21 114 0 21 Sep 2020