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J. Imaging 2024 Travel Award
Dear Colleagues,
As Editor-in-Chief of the MDPI journal J. Imaging, I am pleased to announce the winners of the J. Imaging 2024 Travel Award. The award has been granted to Dr. Sergio Vélez, a post-doc researcher at Wageningen University and Research; and Ms. Christina Junger, a research fellow of TU Ilmenau, Group for Quality Assurance and Industrial Image Processing.
The awardees will each be awarded CHF 500 and an electronic certificate.
With so many high-quality applicants, the evaluation process and final decisions were challenging. We would like to thank all the applicants for submitting their diverse and fascinating research topics. On behalf of the assessment committee, I congratulate the winners on their accomplishments.
Editor-in-Chief, Prof. Dr. Raimondo Schettini, on behalf of the J. Imaging 2024 Travel Award Evaluation Committee
J. Imaging 2023 Outstanding Reviewer Award
Dear Colleagues,
We are pleased to announce the winners of the J. Imaging 2023 Outstanding Reviewer Award. The J. Imaging Editorial Board and Team would like to gratefully acknowledge our reviewers for checking the manuscripts submitted to J. Imaging. It is due to their efforts that the high quality of the journal and quick turnaround are maintained.
Dr. Yayao Ma
University of California, Los Angeles, USA
Research Interests:
computational imaging; image reconstruction techniques; medical and biological imaging; three-dimensional microscopy; fluorescence microscopy; multispectral and hyperspectral imaging; biomedical imaging; bioengineering; computational optical imaging; bioengineering; imaging ultrafast phenomena; ultrafast optical imaging
Dr. Simona Moldovanu
Department of Computer Science and Information Technology, University Dunarea de Jos of Galati, Galati, Romania
Research Interests:
developing novel computational methods; medical image reconstruction/analysis; computational methods in medical imaging; medical image processing and segmentation; computer aided detection/diagnosis; medical image construction techniques; imaging in diagnostic radiology/echography
The Prizes for Each Winner:
–CHF 500;
–The opportunity to publish a paper free of charge in J. Imaging in 2024 after peer review;
–A certificate.
J. Imaging 2022 Best Paper Award
Dear Colleagues,
We are pleased to announce the winners of J. Imaging 2022 Best Paper Award. All papers published in 2022 in Journal of Imaging 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:
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; doi:10.3390/jimaging8080205
One 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, Vincent Gripon
J. Imaging 2022, 8(7), 179; doi:10.3390/jimaging8070179
Each winner will receive CHF 500 and a chance to publish a paper in J. Imaging in 2024 after peer review.
Please join us in congratulating the winners of J. Imaging’s 2022 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support.
J. Imaging 2022 Outstanding Reviewer Award
Dear Colleagues,
We are pleased to announce the winners of the J. Imaging 2022 Outstanding Reviewer Award. The J. Imaging Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy dedicated by reviewers in checking the manuscripts submitted to J. Imaging. It is due to their efforts that the high quality of the journal and the quick turnaround can be maintained.
Prof. Dr. Robertas Damaševičius
Institute of Mathematics, Silesian University of Technology, Gliwice, Poland
Research Interests: human–computer interface; robot programming; sustainable software engineering; assisted living; data mining and machine learning; smart learning
Dr. Leonardo Rundo
Department of Information and Electrical Engineering and Applied Mathematics (DIEM), University of Salerno, Fisciano, Italy
Research Interests: biomedical image analysis; radiogenomics; machine learning; computational intelligence; high-performance computing
The Prize for Each Winner:
– CHF 500;
– An opportunity to publish a paper free of charge in J. Imaging in 2023 after peer review;
– A certificate.
Kind regards,
J. Imaging Editorial Office
J. Imaging 2021 Best Paper Award
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
J. Imaging 2020–2021 Outstanding Reviewer Award
Dear Colleagues,
We are pleased to announce the winners of the J. Imaging 2020–2021 Outstanding Reviewer Award. The J. Imaging Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy dedicated by reviewers in checking the manuscripts submitted to J. Imaging. It is due to their efforts that the high quality of the journal and quick turnaround are maintained.
Dr. Jung Sun Yoo
Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China
Research Interests: application of machine learning in medical imaging; biomedical optics; molecular imaging; intravital/intraoperative imaging; multimodality imaging
Dr. Josemaria Martinezo
Department of Computer Science and Artificial Intelligence, University of the Basque Country, Donostia-San Sebastián, Spain
Research Interests: machine learning; computer vision; 3D vision; deep learning; video action recognition
Kind regards,
Prof. Dr. Raimondo Schettini
Editor-in-Chief, J. Imaging
J. Imaging 2020 Best Paper Award
Dear Colleagues,
We are pleased to announce the winner of the J. Imaging 2020 Best Paper Award. All papers published in Volume 6 (18 December 2019–21 December 2020) in J. Imaging were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, the one winning paper, which was nominated by the Editor-in-Chief, Prof. Dr. Raimondo Schettini, has been selected.
One 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
The winner (corresponding author) will receive CHF 500 and a chance to publish a paper in J. Imaging free of charge (1600 CHF) in 2022.
On behalf of the assessment committee, I would like to congratulate the winner on his accomplishment. We would also like to take this opportunity to thank all the nominated research groups of the above exceptional papers for their contributions to J. Imaging, and the Award Committee for voting and helping with this award.
Kind regards,
Editor-in-Chief
Prof. Dr. Raimondo Schettini, J. Imaging
J. Imaging 2020–2021 Travel Award
Dear Colleagues,
As Editor-in-Chief of J. Imaging, I am pleased to announce the winners of the J. Imaging 2020–2021 Travel Awards.
The awards have been granted to: Dr. Cameron Kaye and Ms. Alexandra Trujillo.
Cameron Kaye is a recent MD/PhD graduate from the University of Manitoba, in Winnipeg, Manitoba, Canada, working within the Price Faculty of Engineering’s Electromagnetic Imaging Laboratory (EIL) in the field of microwave breast imaging. His specific research interests include magnetic contrast enhancement of microwave imaging and its associated clinical applications. He plans to attend URSI GASS 2021 in Rome, Italy, to present the EIL’s research on a new related modality referred to as ferromagnetic resonance imaging (FRI).
Alexandra Trujillo is currently researching deep-learning-based high-performance algorithms for 3D anthropometric reconstruction with applications in biological anthropology, medicine and forensic sciences. She is currently pursuing a PhD at the Imaging Science Laboratory (Universidad Nacional del Sur), and she works for the National Research and Technology Council of Argentina (CONICET) in the Human Evolutionary Biology Research Group of the National Patagonian Center (CENPAT). She would like to attend 3dbody.tech to present body2vec: 3D Point Cloud Reconstruction for Precise Anthropometry with Handheld Devices.
With so many high-quality applicants, the evaluation process and final decision were challenging. We would like to thank all of the applicants for submitting their diverse and fascinating range of research topics. On behalf of the Assessment Committee, I congratulate the winners on their accomplishments.
Prof. Dr. Raimondo Schettini
Editor-in-Chief
On behalf of the J. Imaging 2020–2021 Travel Awards Evaluation Committee
J. Imaging 2019 Travel Award
Dear Colleagues,
On behalf of the Evaluation Committee, we are pleased to announce the two winners of the Journal of Imaging 2019 Travel Award. The awards were granted to Mr. Grigorios Chrysos, a Ph.D. student at Imperial College London, and Dr. Hai Zhang, a postdoctoral fellow at the University of Toronto. The award recipients will receive 400 Swiss Francs each to support their attendance at any academic conference on the related areas in 2019.
Mr. Grigorios Chrysos is a Ph.D. student in the Department of Computing, Imperial College London. His interests lie at the intersection of statistical machine learning and computer vision.
Dr. Hai Zhang is a postdoctoral fellow in mechanical and industrial engineering at the University of Toronto. His recent research focuses on the development of a 3D photothermal coherence tomography (3D PCT) technique.
With so many high-quality applicants, selecting the recipients of the awards was a difficult decision, and we would like to thank the Evaluation Committee for their excellent work in selecting the winners from such a
large pool of excellent candidates. We wish to congratulate the winners for their accomplishments.
Prof. Dr. Gonzalo Pajares Martinsanz
Editor-in-Chief
J. Imaging 2018 Travel Award
Dear Colleagues,
As Editor-in-Chief of Journal of Imaging, on behalf of the Evaluation Committee, I am pleased to announce that the winner of the Journal of Imaging 2018 Travel Award is Mr. Aviad Levis, a PhD student at the Israel Institute of Technology, Haifa, Israel, who will be supported with 800 Swiss Francs towards his travel expenses to attend IEEE 2018 Conference on Computer Vision and Pattern Recognition (CVPR), to be held in Salt Lake City, USA, 18-22 June 2018.
Mr. Aviad Levis is a PhD candidate at Viterbi Faculty of Electrical Engineering,Technion—Israel Institute of Technology, Haifa, Israel. His research is in 3D imaging, computer vision, and microscopy. Mr. Levis has been invited to give talks in international conferences, sometimes as a sole author. His paper “Statistical Tomography of Microscopic Life” has been accepted to the IEEE 2018 Conf. on Computer Vision and Pattern Recognition (CVPR).
This was a difficult decision with such high quality applications for the award, and we would like to thank all applicants for submitting their diverse and thought-provoking presentations.
Prof. Dr. Gonzalo Pajares Martinsanz
Editor-in-Chief
J. Imaging 2017 Outstanding Reviewer Award
The Journal of Imaging Editorial Board and Editorial Team would like to gratefully acknowledge the time and energy given by reviewers in checking manuscripts submitted to the Journal of Imaging. It is due to their efforts that the high quality of the journal and quick turnaround is maintained. The median time to first decision was 22 days in 2017 and the median time to publication was 58 days.
The following referee has been selected by the Editor-in-Chief of the Journal of Imaging, Prof. Dr. Gonzalo Pajares Martinsanz, to receive the “Journal of Imaging 2017 Outstanding Reviewer Award” for the quantity, timeliness and quality of his reviews in 2017. Dr. Reyes-Aldasoro will receive 500 CHF and a certificate for his outstanding review work:
Dr. Constantino Carlos Reyes-Aldasoro
City, University of London, UK