Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash. Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing, 485:36-46, 2022. [doi]
@article{TanDSFYRSMSARHD22,
title = {Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists},
author = {Tao Tan and Bipul Das and Ravi Soni and Mate Fejes and Hongxu Yang and Sohan Ranjan and Daniel Attila Szabo and Vikram Melapudi and K. S. Shriram and Utkarsh Agrawal and Laszlo Rusko and Zita Herczeg and Barbara Darázs and Pal Tegzes and Lehel Ferenczi and Rakesh Mullick and Gopal Avinash},
year = {2022},
doi = {10.1016/j.neucom.2022.02.040},
url = {https://doi.org/10.1016/j.neucom.2022.02.040},
researchr = {https://researchr.org/publication/TanDSFYRSMSARHD22},
cites = {0},
citedby = {0},
journal = {Neurocomputing},
volume = {485},
pages = {36-46},
}