Best Paper Award

The Journal of Imaging Best Paper Award is granted annually to highlight publications of high quality, scientific significance, and extensive influence. The evaluation committee members choose one research article and one review 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:

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

 
J. Imaging Best Paper Award
 

Eligibility and Requirements

– All papers published in the Journal of Imaging will be eligible (both regular and Special Issue submissions).

– 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

40 pages, 5188 KiB  
Review
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
by Andronicus A. Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli and Leonardo Rundo
J. Imaging 2022, 8(8), 205; https://doi.org/10.3390/jimaging8080205 - 22 Jul 2022
19 pages, 1713 KiB  
Article
Easy—Ensemble Augmented-Shot-Y-Shaped Learning: State-of-the-Art Few-Shot Classification with Simple Components
by Yassir Bendou, Yuqing Hu, Raphael Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux and Vincent Gripon
J. Imaging 2022, 8(7), 179; https://doi.org/10.3390/jimaging8070179 - 24 Jun 2022

Award Committee

Prof. Raimondo Schettini Chairman
DISCO
Prof. Dr. Bin Fan
University of Science and Technology Beijing
Dr. William Higgins
Penn State University

Winner

21 pages, 391 KiB  
Review
Transfer Learning in Magnetic Resonance Brain Imaging: A Systematic Review
by Juan Miguel Valverde, Vandad Imani, Ali Abdollahzadeh, Riccardo De Feo, Mithilesh Prakash, Robert Ciszek and Jussi Tohka
J. Imaging 2021, 7(4), 66; https://doi.org/10.3390/jimaging7040066 - 1 Apr 2021
16 pages, 2203 KiB  
Article
Skin Lesion Segmentation Using Deep Learning with Auxiliary Task
by Lina Liu, Ying Y. Tsui and Mrinal Mandal
J. Imaging 2021, 7(4), 67; https://doi.org/10.3390/jimaging7040067 - 2 Apr 2021

Winner

19 pages, 11380 KiB  
Review
Explainable Deep Learning Models in Medical Image Analysis
by Amitojdeep Singh, Sourya Sengupta and Vasudevan Lakshminarayanan
J. Imaging 2020, 6(6), 52; https://doi.org/10.3390/jimaging6060052 - 20 Jun 2020

Award Committee

Prof. Raimondo Schettini Chairman
DISCO
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