Dear Colleagues,
We are pleased to announce the winners of the J. Imaging 2021 Best Paper Award. All papers published in J. Imaging from 22 December 2020 to 20 December 2021 were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, two winners were selected.
One 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; doi:10.3390/jimaging7040066
One 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; doi:10.3390/jimaging7040067
Each winner will receive CHF 500 and a chance to publish a paper in J. Imaging in Year after peer review.
Please join us in congratulating the winners of the J. Imaging 2021 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of J. Imaging.
Kind regards,
J. Imaging Editorial Office
Eligibility and Requirements
Generative adversarial networks (GANs) have become increasingly powerful, generating mind-blowing photorealistic images that mimic the content of datasets they have been trained to replicate. One recurrent theme in medical imaging, is whether GANs ca...
Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regulations. Da...
Raimondo Schettini
Pier Luigi Mazzeo
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