Best Paper Award

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

The Prize:

– Two research articles and two reviews will be selected.
– Each winner will receive CHF 500, a certificate, and a free voucher for article processing fees valid for one year.

 
Diagnostics Best Paper Award
 
Winner announcement: 30 June 2025

Eligibility and Requirements

– All papers published in Diagnostics will be eligible (both regular and Special Issue submissions).

Selection Criteria

– Scientific merit and broad impact;
– Originality of the research objectives and/or the ideas presented;
– Creativity of the study design or uniqueness of the approaches and concepts;
– Clarity of presentation;
– Citations and downloads.

 
Past Winners
 
Year: 

Winner

37 pages, 3340 KiB  
Review
Epidemiology of Mucopolysaccharidoses Update
by Betul Celik, Saori C. Tomatsu, Shunji Tomatsu and Shaukat A. Khan
Diagnostics 2021, 11(2), 273; https://doi.org/10.3390/diagnostics11020273 - 10 Feb 2021
16 pages, 3154 KiB  
Review
What Is New on Ovarian Carcinoma: Integrated Morphologic and Molecular Analysis Following the New 2020 World Health Organization Classification of Female Genital Tumors
by Antonio De Leo, Donatella Santini, Claudio Ceccarelli, Giacomo Santandrea, Andrea Palicelli, Giorgia Acquaviva, Federico Chiarucci, Francesca Rosini, Gloria Ravegnini, Annalisa Pession, Daniela Turchetti, Claudio Zamagni, Anna Myriam Perrone, Pierandrea De Iaco, Giovanni Tallini and Dario de Biase
Diagnostics 2021, 11(4), 697; https://doi.org/10.3390/diagnostics11040697 - 14 Apr 2021
16 pages, 1275 KiB  
Article
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
by Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius and Tomas Krilavičius
Diagnostics 2021, 11(6), 1071; https://doi.org/10.3390/diagnostics11061071 - 10 Jun 2021
19 pages, 3944 KiB  
Article
Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning
by Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al Maadeed, Farayi Musharavati and Mohamed Arselene Ayari
Diagnostics 2021, 11(5), 893; https://doi.org/10.3390/diagnostics11050893 - 17 May 2021
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