Baeza et al. EJNMMI Physics (2023) 10:13 EJNMMI Physics https://doi.org/10.1186/s40658-023-00532-z CORRECTION Open Access Correction: A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID‑19 patients Sonia Baeza1,2,3* , Debora Gil4, Ignasi Garcia‑Olivé1,2,3, Maite Salcedo‑Pujantell5, Jordi Deportós5, Carles Sanchez4, Guillermo Torres4, Gloria Moragas5 and Antoni Rosell1,2,3 The original article can be found Correction: EJNMMI Physics (2022), 9(1):84 online at https://​doi.​org/​10.​1186/​ https://​doi.​org/​10.​1186/​s40658-​022-​00510-x s40658-​022-​00510-x. Following the publication of the original article [1], the authors reported that the figures *Correspondence: smbaeza.germanstrias@gencat.cat were cited and presented as part of the Background section instead of where they were 1 Respiratory Medicine originally cited in the text. Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain The original article [1] has been updated. 2 Germans Trias I Pujol Research Institute (IGTP), Badalona, Barcelona, Spain 3 Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain 4 Computer Vision Center and Computer Science Reference Department, UAB, Barcelona, 1. Baeza S, Gil D, Garcia-Olivé I, et al. A novel intelligent radiomic analysis of perfusion SPECT/CT images to opti‑ Spain 5 mize pulmonary embolism diagnosis in COVID-19 patients. EJNMMI Phys. 2022;9:84. https://​doi.​org/​10.​1186/​ Nuclear Medicine Department, s40658-​022-​00510-x. Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate‑ rial. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/.