Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
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Angelica I. Avilés-Rivero | J. H. Rudd | Mishal N. Patel | A. Korhonen | Christian Etmann | E. Sala | G. Langs | C. Schönlieb | M. Thorpe | Zhangming Niu | J. Hofmanninger | H. Prosch | H. Azadbakht | S. Stranks | Y. Zha | T. Ai | Kang Zhang | E. Gkrania-Klotsas | G. Gozaliasl | J. Rudd | Guang Yang | J. Weir-McCall | Z. Teng | J. Preller | J. Gilbey | L. Beer | Weizhe Lin | J. Babar | Stephan Ursprung | M. Thillai | M. Holzer | Guang Yang | Derek Driggs | Cathal McCague | A. Ruggiero | Tolou Shadbahr | Michael Roberts | Jan Stanczuk | Joseph Jacob | Michael Yeung | Jing Tang | E. Jefferson | L. E. Sanchez | M. Roberts | C. Etmann | C. McCague | Kang Zhang | T. Shadbahr | P. Liò | D. Driggs | Alessandro Anna Emily Emmanuel Georg Ghassem Guang Helmut Jac Ruggiero Korhonen Jefferson Ako Langs | Anna Korhonen | E. Ako | Paula Martin Gonzalez | P. Teare | Xiaoxiang Zhu | Mishal Patel | Conor Cafolla | Hojjat Azadbakht | Josh Lowe | Kyle Bradley | Marcel Wassin | Kangyu Ji | Maria Delgado Ortet | N. Walton | Samuel Stranks | Weizhe Lin | Jing Tang | Xiaoxiang Zhu | J. Tang | Jingjing Tang | Matthew Thorpe | Markus Holzer