Announcements

1. “SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks”
by Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh and Bradley J. Erickson
Tomography 2022, 8(2), 905–919; https://doi.org/10.3390/tomography8020073
Full text available online: https://www.mdpi.com/2379-139X/8/2/73

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
Full text available online: https://www.mdpi.com/2379-139X/8/2/71

3. “Follow-Up CT Patterns of Residual Lung Abnormalities in Severe COVID-19 Pneumonia Survivors: A Multicenter Retrospective Study”
by Giulia Besutti, Filippo Monelli, Silvia Schirò, Francesca Milone, Marta Ottone, Lucia Spaggiari, Nicola Facciolongo, Carlo Salvarani, Stefania Croci, Pierpaolo Pattacini et al.
Tomography 2022, 8(3), 1184–1195; https://doi.org/10.3390/tomography8030097
Full text available online: https://www.mdpi.com/2379-139X/8/3/97

4. “Comparison of [68Ga]-FAPI PET/CT and [18F]-FDG PET/CT in Multiple Myeloma: Clinical Experience”
by Umut Elboga, Ertan Sahin, Yusuf Burak Cayirli, Merve Okuyan, Gokmen Aktas, Handan Haydaroglu Sahin, Ilkay Dogan, Tulay Kus, Dervis Murat Akkurd, Ufuk Cimen et al.
Tomography 2022, 8(1), 293–302; https://doi.org/10.3390/tomography8010024
Full text available online: https://www.mdpi.com/2379-139X/8/1/24

5. “Accuracy of CT-Guided Core-Needle Biopsy in Diagnosis of Thoracic Lesions Suspicious for Primitive Malignancy of the Lung: A Five-Year Retrospective Analysis”
by Elisa Baratella, Stefano Cernic, Pierluca Minelli, Giovanni Furlan, Filippo Crimì, Simone Rocco, Barbara Ruaro and Maria Assunta Cova
Tomography 2022, 8(6), 2828–2838; https://doi.org/10.3390/tomography8060236
Full text available online: https://www.mdpi.com/2379-139X/8/6/236

6. “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
Full text available online: https://www.mdpi.com/2379-139X/8/1/11

7. “Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism”
by Warid Islam, Meredith Jones, Rowzat Faiz, Negar Sadeghipour, Yuchen Qiu and Bin Zheng
Tomography 2022, 8(5), 2411–2425; https://doi.org/10.3390/tomography8050200
Full text available online: https://www.mdpi.com/2379-139X/8/5/200

8. “Radiation Eye Dose for Physicians in CT Fluoroscopy-Guided Biopsy”
by Yohei Inaba, Shin Hitachi, Munenori Watanuki and Koichi Chida
Tomography 2022, 8(1), 438-446; https://doi.org/10.3390/tomography8010036
Full text available online: https://www.mdpi.com/2379-139X/8/1/36

9. “MDCT Imaging of Non-Traumatic Thoracic Aortic Emergencies and Its Impact on Diagnosis and Management—A Reappraisal”
by Tullio Valente, Giacomo Sica, Giorgio Bocchini, Federica Romano, Francesco Lassandro, Gaetano Rea, Emanuele Muto, Antonio Pinto, Francesca Iacobellis, Paola Crivelli et al.
Tomography 2022, 8(1), 200–228; https://doi.org/10.3390/tomography8010017
Full text available online: https://www.mdpi.com/2379-139X/8/1/17

10. “Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease”
by Arman Sharbatdaran, Dominick Romano, Kurt Teichman, Hreedi Dev, Syed I. Raza, Akshay Goel, Mina C. Moghadam, Jon D. Blumenfeld, James M. Chevalier, Daniil Shimonov et al.
Tomography 2022, 8(4), 1804–1819; https://doi.org/10.3390/tomography8040152
Full text available online: https://www.mdpi.com/2379-139X/8/4/152