Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19.

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Bibliographic Details
Title: Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19.
Authors: Zou C; Department of Radiology, Columbia University, 622 W. 168th St, Alianza Dominicana Cultural Center, 5th Fl, New York, NY 10032., Mankowski WC; Department of Radiology, Columbia University, 622 W. 168th St, Alianza Dominicana Cultural Center, 5th Fl, New York, NY 10032., Pantalone L; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Horng H; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Setia Verma S; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pa., Mortani Barbosa EJ Jr; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Cook TS; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Noel PB; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Carpenter EL; Department of Medicine, University of Pennsylvania, Philadelphia, Pa., Thompson JC; Department of Medicine, University of Pennsylvania, Philadelphia, Pa., Shinohara RT; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pa., Roshkovan L; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Katz SI; Department of Radiology, University of Pennsylvania, Philadelphia, Pa., Kontos D; Department of Radiology, Columbia University, 622 W. 168th St, Alianza Dominicana Cultural Center, 5th Fl, New York, NY 10032.
Source: Radiology. Artificial intelligence [Radiol Artif Intell] 2026 May; Vol. 8 (3), pp. e240218.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Radiological Society of North America, Inc Country of Publication: United States NLM ID: 101746556 Publication Model: Print Cited Medium: Internet ISSN: 2638-6100 (Electronic) Linking ISSN: 26386100 NLM ISO Abbreviation: Radiol Artif Intell Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2638-6100
DOI:10.1148/ryai.240218