Announcements

MDPI is pleased to announce that we now display the co-authors’ email addresses in addition to the corresponding author’s email address on the webpage of published papers, protected by Captcha. For more information about this change, please visit the journal’s instructions for authors page. 

We believe this change will facilitate academic discussions and advance our cause of open science and research. The corresponding authors are responsible for communicating with their co-authors and indicating in our system (https://susy.mdpi.com/) if co-authors would prefer for their email addresses not to be displayed.

1. “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”
by McNitt-Gray, M.; Napel, S.; Jaggi, A.; Mattonen, S. A.; Hadjiiski, L.; Muzi, M.; Goldgof, D.; Balagurunathan, Y.; Pierce, L.A.; Kinahan, P. E. et al.
Tomography 2020, 6(2), 118-128. https://doi.org/10.18383/j.tom.2019.00031
Available online: https://www.mdpi.com/2379-139X/6/2/118

2. “A Fully Automated Deep Learning Network for Brain Tumor Segmentation”
by Yogananda, C. G. B.; Shah, B. R.; Vejdani-Jahromi, M.; Nalawade, S. S.; Murugesan, G. K.; Yu, F. F.; Pinho, M. C.; Wagner, B. C.; Emblem, K. E.; Bjørnerud, A. et al.
Tomography 2020, 6(2), 186-193; https://doi.org/10.18383/j.tom.2019.00026
Available online: https://www.mdpi.com/2379-139X/6/2/186

3. “A Perspective on Cell Tracking with Magnetic Particle Imaging”
by Sehl, O. C.; Gevaert, J. J.; Melo, K. P.; Knier, N. N. and Foster, P. J.
Tomography 2020, 6(4), 315-324; https://doi.org/10.18383/j.tom.2020.00043
Available online: https://www.mdpi.com/2379-139X/6/4/315

4. “Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data”
by Lu, L.; Sun, S.H.; Yang, H.; E, L.; Guo, P.; Schwartz, L. H. and Zhao, B.
Tomography 2020, 6(2), 223-230; https://doi.org/10.18383/j.tom.2020.00017
Available online: https://www.mdpi.com/2379-139X/6/2/223

5. “Radiomic Features of Multiparametric MRI Present Stable Associations with Analogous Histological Features in Patients with Brain Cancer”
by Bobholz, S. A.; Lowman, A. K.; Barrington, A.; Brehler, M.; McGarry, S.; Cochran, E. J.; Connelly, J.; Mueller, W. M.; Agarwal, M.; O'Neill, D. et al.
Tomography 2020, 6(2), 160-169; https://doi.org/10.18383/j.tom.2019.00029
Available online: https://www.mdpi.com/2379-139X/6/2/160

6. “MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice”
by Holbrook, M. D.; Blocker, S. J.; Mowery, Y. M.; Badea, A.; Qi, Y.; Xu, E. S.; Kirsch, D. G.; Johnson, G. A. and Badea, C. T.
Tomography 2020, 6(1), 23-33; https://doi.org/10.18383/j.tom.2019.00021
Available online: https://www.mdpi.com/2379-139X/6/1/23

7. “Assessment of the Prognostic Value of Radiomic Features in 18F-FMISO PET Imaging of Hypoxia in Postsurgery Brain Cancer Patients: Secondary Analysis of Imaging Data from a Single-Center Study and the Multicenter ACRIN 6684 Trial”
by Muzi, M.; Wolsztynski, E.; Fink, J. R.; O’Sullivan, J. N.; O’Sullivan, F.; Krohn, K. A. and Mankoff, D. A.
Tomography 2020, 6(1), 14-22; https://doi.org/10.18383/j.tom.2019.00023
Available online: https://www.mdpi.com/2379-139X/6/1/14

8. “Intraobserver Variability in Bladder Cancer Treatment Response Assessment With and Without Computerized Decision Support”
by Hadjiiski, L. M.; Cha, K. H.; Cohan, R. H.; Chan, H.-P.; Caoili, E. M.; Davenport, M. S.; Samala, R. K.; Weizer, A. Z.; Alva, A.; Kirova-Nedyalkova, G. et al.
Tomography 2020, 6(2), 194-202; https://doi.org/10.18383/j.tom.2020.00013
Available online: https://www.mdpi.com/2379-139X/6/2/194

9. “Stanford DRO Toolkit: Digital Reference Objects for Standardization of Radiomic Features”
by Jaggi, A.; Mattonen, S. A.; McNitt-Gray, M. and Napel, S.
Tomography 2020, 6(2), 111-117; https://doi.org/10.18383/j.tom.2019.00030
Available online: https://www.mdpi.com/2379-139X/6/2/111

10. “Computational Modeling of Interstitial Fluid Pressure and Velocity in Head and Neck Cancer Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging: Feasibility Analysis”
by LoCastro, E.; Paudyal, R.; Mazaheri, Y.; Hatzoglou, V.; Oh, J. H.; Lu, Y.; Konar, A. S.; Eigen, K.v.; Ho, A.; Ewing, J. R. et al.
Tomography 2020, 6(2), 129-138; https://doi.org/10.18383/j.tom.2020.00005
Available online: https://www.mdpi.com/2379-139X/6/2/129

On 9 February 2023, Clarivate, a global leader in providing trusted insights and analytics, added the Preprint Citation Index to the Web of Science platform, streamlining the research process by allowing researchers to locate and link to preprints alongside other trusted content in the database.

The Preprint Citation Index will act as a bridge to connect cutting-edge preprints with peer-reviewed journal articles published within the Web of Science Core Collection. Alerts can be easily set to monitor new research across several repositories and authors will also be able to include preprints on their Web of Science Research Profile to more accurately display their various research outputs.

As of its launch, the Preprint Citation Index will provide nearly two million preprints from various repositories, including MDPI’s own Preprints.org.

MDPI's Preprints Platform – Preprints.org

To advance Open Science and the fast dissemination of research, MDPI offers researchers a free multidisciplinary preprint platform. Preprints.org accepts submissions from all research areas and offers authors high visibility, permanent archiving, article-level Metrics and immediately citable content by assigning a Digital Object Identifier (DOI) to all preprints.

During submission to any MDPI journal, authors have the option to share their research as a preprint. After an initial screening, the manuscript is available online in 48 hours or less. Once online, preprints can be downloaded, shared, commented on, and cited, providing authors maximum visibility.

We invite you to join the ranks of the over 100k researchers using Preprints.org and share your research.

For more information, please visit Preprints.org.

1. “Stability of Radiomic Features across Different Region of Interest Sizes—A CT and MR Phantom Study”
by Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Bernd Hamm and Sebastian N. Nagel
Tomography 2021, 7(2), 238–252; https://doi.org/10.3390/tomography7020022
Available online: https://www.mdpi.com/2379-139X/7/2/22

2. “EDNC: Ensemble Deep Neural Network for COVID-19 Recognition”
by Lin Yang, Shui-Hua Wang and Yu-Dong Zhang
Tomography 2022, 8(2), 869–890; https://doi.org/10.3390/tomography8020071
Available online: https://www.mdpi.com/2379-139X/8/2/71

3. “Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning”
by Matthew D. Holbrook, Darin P. Clark, Rutulkumar Patel, Yi Qi, Alex M. Bassil, Yvonne M. Mowery and Cristian T. Badea
Tomography 2021, 7(3), 358–372; https://doi.org/10.3390/tomography7030032
Available online: https://www.mdpi.com/2379-139X/7/3/32

4. “A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC”
by Silvia Moreno, Mario Bonfante, Eduardo Zurek, Dmitry Cherezov, Dmitry Goldgof, Lawrence Hall and Matthew Schabath
Tomography 2021, 7(2), 154–168; https://doi.org/10.3390/tomography7020014
Available online: https://www.mdpi.com/2379-139X/7/2/14

5. “Evaluating a Machine Learning Tool for the Classification of Pathological Uptake in Whole-Body PSMA-PET-CT Scans”
by Annette Erle, Sobhan Moazemi, Susanne Lütje, Markus Essler, Thomas Schultz and Ralph A. Bundschuh
Tomography 2021, 7(3), 301–312; https://doi.org/10.3390/tomography7030027
Available online: https://www.mdpi.com/2379-139X/7/3/27

6. “Honorary Authorship: Is There Any Chance to Stop It? Analysis of the Literature and a Personal Opinion”
by Emilio Quaia and Filippo Crimi’
Tomography 2021, 7(4), 801–803; https://doi.org/10.3390/tomography7040067
Available online: https://www.mdpi.com/2379-139X/7/4/67

7. “Evaluation of Regional Lung Function in Pulmonary Fibrosis with Xenon-129 MRI”
by Jaime Mata, Steven Guan, Kun Qing, Nicholas Tustison, Yun Shim, John P. Mugler III, Talissa Altes, Jhosep Huaromo and Borna Mehrad
Tomography 2021, 7(3), 452–465; https://doi.org/10.3390/tomography7030039
Available online: https://www.mdpi.com/2379-139X/7/3/39

8. “Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer”
by Kanae Takahashi, Tomoyuki Fujioka, Jun Oyama, Mio Mori, Emi Yamaga, Yuka Yashima, Tomoki Imokawa, Atsushi Hayashi, Yu Kujiraoka, Junichi Tsuchiya et al.
Tomography 2022, 8(1), 131–141; https://doi.org/10.3390/tomography8010011
Available online: https://www.mdpi.com/2379-139X/8/1/11

9. “Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer”
by Ankush Jajodia, Ayushi Gupta, Helmut Prosch, Marius Mayerhoefer, Swarupa Mitra, Sunil Pasricha, Anurag Mehta, Sunil Puri and Arvind Chaturvedi
Tomography 2021, 7(3), 344–357; https://doi.org/10.3390/tomography7030031
Available online: https://www.mdpi.com/2379-139X/7/3/31

10. “Systematic Assessment of the Impact of DTI Methodology on Fractional Anisotropy Measures in Alzheimer’s Disease”
by Maurizio Bergamino, Elizabeth G. Keeling, Ryan R. Walsh and Ashley M. Stokes
Tomography 2021, 7(1), 20–38; https://doi.org/10.3390/tomography7010003
Available online: https://www.mdpi.com/2379-139X/7/1/3

We are pleased to announce the launch of a new initiative—the MDPI Special Issue Mentor Program.

This program will enable early career researchers (who must hold a Ph.D. in a related field) to experience editing a Special Issue in MDPI journals, under the mentorship of our experienced Editorial Board Members or other experienced scientists. The mentor program will provide an excellent opportunity for early career scientists to gain editorial experience, and to cultivate their ability to edit scientific research.

The mentee’s responsibilities include:

• Proposing a Special Issue title and assisting the mentor in preparing a summary (around 200–400 words) and 3–10 keywords describing the background, importance, and goal of the Issue;
• Writing a brief promotion plan for the Special Issue;
• Preparing a list of scholars who may be interested in the Issue and personally e-mailing invitations on behalf of Guest Editors;
• Writing an editorial for the online Special Issue together with the mentor.

The mentor’s responsibilities include:

• Conducting a final check before the Special Issue is published online;
• Performing editorial control of the Special Issue and quality control of the publications, both of which must be carried out in a timely manner;
• Providing suggestions to younger scholars if they have any doubts or concerns regarding submissions;
• Organizing video calls with young scholars and the Editorial Office regularly to discuss problems and improvement suggestions for the Special Issue;
• Making and submitting decisions regarding submissions with the assistance of mentees.

Certificates and awards:
After the Special Issue closes, the Editorial Office will provide official certificates for all the mentors and early career researchers.

If you are interested in this opportunity, please send your Special Issue proposal to the Editorial Office of a journal you choose, and we will discuss the process (i.e., mentor collaboration, Special Issue topic feasibility analysis, etc.) in further detail. The full list of MDPI journals is as follows: https://www.mdpi.com/about/journals.

In addition to the new Special Issue Mentor Program, we will continue to welcome all Special Issue proposals focusing on hot research topics.

MDPI has just become the first open access (OA) publisher to reach the milestone of one million articles published. That is one million articles freely available to all, to circulate and build upon! We are proud to share this special moment with the global scientific community.

This landmark has been reached thanks to the immeasurable support of more than 600,000 expert reviewers, 66,000 editorial board members and 6700 hard-working colleagues across MDPI’s global offices.

Within more than 25 years of publishing, our journals received 2.1 million manuscripts and generated 4.6 million peer review reports to get to one million papers published.

Reaching the milestone of one million articles published reinforces our mission to remove any existing barriers and to make scientific research accessible to all. Since its inception, MDPI’s goal has been to create reliable processes to make science open. This is a path towards facilitating the dissemination of novel insights in scientific communities.

Regular feedback from authors and reviewers shows that our service is greatly appreciated and needed. At the same time, the feedback helps us identify areas for further improvement.

As it stands, a significant share of published research findings remain closed access. More than half of the content published with the most well-known legacy publishers stays behind a paywall, and that is not including articles published in hybrid OA journals, or made available months or years after publication.

A new policy announced by the US administration in August 2022 requires that, as of January 2026, all US federally funded research be made freely and immediately available after publication. While the new policy does not mandate articles be published under an open access license, it is aligned with the open access movement in removing all barriers to research. Similarly, some of the most advanced research institutions in the world intend to have all funded research articles published in open access by 2025.

MDPI is proud to be the leading agent of the transition to open access.

"Thanks a Million" to all the contributors!

We are pleased to announce that the website of the MDPI Sustainability Foundation has been revamped! For the past couple of months, our UX UI team and front-end developers have been working hard to launch the website in time for the opening of the Sustainability Awards nominations.

The website is not the only thing that has had a remodeling. Indeed, the format of the Emerging Sustainability Leader Award (ESLA) has been updated. ESLA is now a competition open to individual researchers or start-ups founded by researchers under the age of 35. Nominee applications will go through 2 rounds of selection until the final 3 are decided. The finalists will then be invited to give pitch presentations during the Award Ceremony to win either first place (10,000 USD) or runner-up (2 x 5000 USD).

The World Sustainability Award, on the other hand, remains the same: a total prize money of 100,000 USD is up for grabs by senior individual researchers or groups of researchers from the international research community.

Nominations for both the World Sustainability Award and the Emerging Sustainability Leader award are now open! Check out our new website for more information on how to nominate.

We warmly welcome Prof. Dr. Yusuke Inoue to the Editorial Board of the Section “Artificial Intelligence in Medical Imaging” in Tomography (ISSN: 2379-139X), and we look forward to his contributions to the continued success of the journal.

	Name:	Prof. Dr. Yusuke Inoue
	Affiliation:	Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara 252-0374, Japan
	Interests:	hepatitis; hepatocytes; cell line; liver; biochemistry; gel electrophoresis; molecular cloning; genetics; molecular biology; transcriptomics

Further details about the Editorial Board can be found at https://www.mdpi.com/journal/tomography/editors.  

Additionally, Tomography is recruiting prestigious scholars from around the world to join our Editorial Board. To apply for this position, recommend potential candidates, or request further information, please contact the Tomography Editorial Office (tomography@mdpi.com) with the following two files attached:

• A full academic CV;
• A short cover letter that details your interest in and enthusiasm for the position.  

Tomography Editorial Office

Peer Review Week began 19 September 2022 under the theme of “Research Integrity: Creating and Supporting Trust in Research”. Through various blog articles, podcast, and webinar, we discussed this crucial subject throughout the week, celebrating the essential role peer review plays in maintaining research quality.

To begin, we held a Webinar on the topic. Professor Peter W. Choate and Dr. Emmanuel Obeng-Gyasi joined Dr. Ioana Craciun, one of MDPI’s scientific officers, for an in-depth discussion.

We invite you to view the event recording:

During the week, the MDPI Blog in a series articles highlighted how good Peer Review safeguards research integrity. The following topics were covered:

• Peer Review Week 2022
• Research Integrity
• What We’ve Learned About Peer Review Reports
• 4 Steps to the Perfect Peer Review Report
• How to Write the Perfect Peer Review Report: An Interview
• Inviting Great Peer Reviewers

In a new edition of Insight Faster, an MDPI podcast, we were delighted to talk to the co-chairs of the Peer Review Week committee, Jayashree Rajagopalan (Senior Manager of Global Community Engagement for CACTUS) and Danielle Padula (Head of Marketing and Community Development at Scholastica) to get their take on this year’s event and its related topics.

You can find the Podcast here.

We hope you enjoy the contents!

The 2021 citation metrics have been released in the Journal Citation Reports (JCR), and we’re pleased to announce the following results for MDPI journals:

For more information on Impact Factors and what it means to index academic journals, please visit our related blog posts.

* Journals given their first Impact Factor in 2022

Source: 2021 Journal Impact Factors, Journal Citation Reports ^TM (Clarivate, 2022)