19 February 2024
Cancers | Highly Viewed Papers and Hot Topic Special Issues on Methods and Technologies Development
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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
We are delighted to share some highly viewed papers on methods and technologies development that were published in Cancers (ISSN: 2072-6694) in 2023. In addition, some Special Issues on this topic are open for submission. The following is a list of relevant papers and Special Issues that we believe will interest you:
“18F-FDG PET/CT Maximum Tumor Dissemination (Dmax) in Lymphoma: A New Prognostic Factor?”
by Domenico Albano, Giorgio Treglia, Francesco Dondi, Anna Calabrò, Alessio Rizzo, Salvatore Annunziata, Luca Guerra, Silvia Morbelli, Alessandra Tucci and Francesco Bertagna
Cancers 2023, 15(9), 2494; https://doi.org/10.3390/cancers15092494
Available online: https://www.mdpi.com/2072-6694/15/9/2494
“Role of PET/CT in Oropharyngeal Cancers”
by Emily W. Avery, Kavita Joshi, Saral Mehra and Amit Mahajan
Cancers 2023, 15(9), 2651; https://doi.org/10.3390/cancers15092651
Available online: https://www.mdpi.com/2072-6694/15/9/2651
“Artificial Intelligence in CT and MR Imaging for Oncological Applications”
by Ramesh Paudyal, Akash D. Shah, Oguz Akin, Richard K. G. Do, Amaresha Shridhar Konar, Vaios Hatzoglou, Usman Mahmood, Nancy Lee, Richard J. Wong, Suchandrima Banerjee et al.
Cancers 2023, 15(9), 2573; https://doi.org/10.3390/cancers15092573
Available online: https://www.mdpi.com/2072-6694/15/9/2573
“See Lung Cancer with an AI”
by Joanna Bidzińska and Edyta Szurowska
Cancers 2023, 15(4), 1321; https://doi.org/10.3390/cancers15041321
Available online: https://www.mdpi.com/2072-6694/15/4/1321
“Multimodal Deep Learning-Based Prognostication in Glioma Patients: A Systematic Review”
by Kaitlyn Alleman, Erik Knecht, Jonathan Huang, Lu Zhang, Sandi Lam and Michael DeCuypere
Cancers 2023, 15(2), 545; https://doi.org/10.3390/cancers15020545
Available online: https://www.mdpi.com/2072-6694/15/2/545
“Long Axial Field-of-View PET/CT Could Answer Unmet Needs in Gynecological Cancers”
by Elizabeth Katherine Anna Triumbari, Vittoria Rufini, Clemens Mingels, Axel Rominger, Abass Alavi, Francesco Fanfani, Ramsey D. Badawi and Lorenzo Nardo
Cancers 2023, 15(9), 2407; https://doi.org/10.3390/cancers15092407
Available online: https://www.mdpi.com/2072-6694/15/9/2407
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| “The Role of PET Imaging in Oncology: New Advancements in Clinical and Research Setting” Edited by Dr. Pierpaolo Alongi and Dr. Desiree Deandreis Submission deadline: 31 March 2024 |
“Artificial Intelligence and Machine Learning in Precision Oncology” Edited by Dr. Carmen Belli and Dr. Santosh Anand Submission deadline: 30 April 2024 |
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| “Recent Trends in PET/CT Tracer Development and Multimodal Imaging” Edited by Prof. Dr. Olaf Prante and Prof. Dr. Tobias Bäuerle Submission deadline: 30 June 2024 |
“Radionuclide Therapy and Hybrid Imaging in Oncology” Edited by Dr. Amir Sabet and Prof. Dr. Frank Grünwald Submission deadline: 29 February 2024 |
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You are invited to view and submit relevant papers to the journal Cancers at the following link:
https://www.mdpi.com/journal/cancers.
Cancers Editorial Office