Best Paper Award

The Tomography Best Paper Award is presented annually to highlight publications of high quality, scientific significance, and extensive influence. The evaluation committee members choose two exceptional articles published in the journal the year before the previous year and announce them online by the end of June.

The Prize:
– One research article and one review will be selected.
– Each winner will receive CHF 500, a certificate, and a voucher to waive the article processing charges (APCs) for one submission in the journal (subject to peer review), which is valid for one year.

 
Tomography Best Paper Award
 
Winner announcement: 30 June 2026

Eligibility and Requirements:

– All papers published in Tomography are eligible (both regular and Special Issue submissions).

Selection Criteria:

– The scientific merit and broad impact;
– The originality of the research objectives and/or the ideas presented;
– The creativity of the study design or uniqueness of the approaches and concepts;
– The clarity of presentation;
– The number of citations and downloads.
 
Past Winners
 
Year: 

Winner

22 pages, 7136 KiB  
Review
Computed Tomography Urography: State of the Art and Beyond
by Michaela Cellina, Maurizio Cè, Nicolo’ Rossini, Laura Maria Cacioppa, Velio Ascenti, Gianpaolo Carrafiello and Chiara Floridi
Tomography 2023, 9(3), 909-930; https://doi.org/10.3390/tomography9030075 - 30 Apr 2023
12 pages, 2419 KiB  
Article
Feasibility of [18F]FSPG PET for Early Response Assessment to Combined Blockade of EGFR and Glutamine Metabolism in Wild-Type KRAS Colorectal Cancer
by Seong-Woo Bae, Jianbo Wang, Dimitra K. Georgiou, Xiaoxia Wen, Allison S. Cohen, Ling Geng, Mohammed Noor Tantawy and H. Charles Manning
Tomography 2023, 9(2), 497-508; https://doi.org/10.3390/tomography9020041 - 24 Feb 2023

Award Committee

Prof. Emilio Quaia Chairman
Department of Radiology, University of Padova, Policlinico Universitario
Prof. Ronnie Wirestam
Lund University
Dr. Zhongwei Zhang

Winner

15 pages, 41137 KiB  
Article
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
by Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh and Bradley J. Erickson
Tomography 2022, 8(2), 905-919; https://doi.org/10.3390/tomography8020073 - 24 Mar 2022
29 pages, 11134 KiB  
Review
MDCT Imaging of Non-Traumatic Thoracic Aortic Emergencies and Its Impact on Diagnosis and Management—A Reappraisal
by Tullio Valente, Giacomo Sica, Giorgio Bocchini, Federica Romano, Francesco Lassandro, Gaetano Rea, Emanuele Muto, Antonio Pinto, Francesca Iacobellis, Paola Crivelli, Ahmad Abu-Omar and Mariano Scaglione
Tomography 2022, 8(1), 200-228; https://doi.org/10.3390/tomography8010017 - 13 Jan 2022

Award Committee

Prof. Emilio Quaia Chairman
Department of Radiology, University of Padova, Policlinico Universitario
Prof. Ronnie Wirestam
Lund University
Prof. Pascal N Tyrrell
University of Toronto
Prof. Dr. Norbert Hosten
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