Journal Information

Statistics

Follow this link to access the full text of the article

Scientific Letter
Machine Learning-enhanced X-ray-based Radiomics in the Identification of Post-COVID Patients
Andrea Fulopa, Jeovanis Gilb, Anita Rozsasa, Diana Solymosia, Krisztina Bogosa, Bence Ferencza,c, Judit Bertaa, Peter Domed,e, Gyorgy Marko-Vargab, Balazs Domea,c,f,g,
Corresponding author
balazs.dome@meduniwien.ac.at

Corresponding author.
, Anna Kerpel-Froniusa,1,
Corresponding author
kerpel.anna@koranyi.hu

Corresponding author.
, Zsolt Megyesfalvia,c,f,1
a National Koranyi Institute of Pulmonology, Budapest, Hungary
b Clinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden
c Department of Thoracic Surgery, Semmelweis University and National Institute of Oncology, Budapest, Hungary
d Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
e National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
f Department of Thoracic Surgery, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria
g Department of Translational Medicine, Lund University, Lund, Sweden
Read
285
Times
was read the article
84
Total PDF
201
Total HTML
Share statistics
Article information
ISSN: 03002896
Original language: English
The statistics are updated each day
Year/Month Html Pdf Total
2025 January 173 55 228
2024 December 28 29 57

Follow this link to access the full text of the article

Archivos de Bronconeumología

Are you a health professional able to prescribe or dispense drugs?