Best Paper Award

Dear Colleagues, 

We are pleased to announce the winners of the Diagnostics 2021 Best Paper Award. All papers published from 1 January 2021 to 31 December 2021 in Diagnostics were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, four winners were selected. 

Two Reviews:
Epidemiology of Mucopolysaccharidoses Update
By Betul Celik et al.
Diagnostics 2021, 11(2), 273; doi:10.3390/diagnostics11020273 

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 et al.
Diagnostics 2021, 11(4), 697; doi:10.3390/diagnostics11040697 

Two Articles:
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 et al.
Diagnostics 2021, 11(6), 1071; doi:10.3390/diagnostics11061071 

Detection and Severity Classification of COVID-19 in CT Images Using Deep Learning
By Yazan Qiblawey et al.
Diagnostics 2021, 11(5), 893; doi:10.3390/diagnostics11050893

Each winner will receive CHF 500 and a chance to publish a paper in Diagnostics in 2024 after peer review. 

Please join us in congratulating the winners of the Diagnostics 2021 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Diagnostics

Kind regards,
Diagnostics Editorial Office

 
Diagnostics Best Paper Award
 

Eligibility and Requirements

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