Comparison of computed tomography–guided core needle biopsy of pulmonary nodules performed with and without the coaxial technique by Qun-Qun Zhu, Li Zhang, Fengfei Xia, Yi-Bing Shi, Lei Zhu, Xian-Xian Liang

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Differentiation between multiple sclerosis and neuromyelitis optic spectrum disorders with multilevel fMRI features: A machine learning analysis by Xiao Liang, Qingwen Zeng, Yanyan Zhu, Yao Wang, Ting He, Lin Wu, Muhua Huang, Fuqing Zhou

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Assessing Metabolic Changes in Response to mTOR Inhibition in a Mantle Cell Lymphoma Xenograft Model Using AcidoCEST MRI by Paul J. Akhenblit PhD, Neale T. Hanke PhD, Alexander Gill BS, Daniel O. Persky MD, Christine M. Howison MS, Mark D. Pagel PhD, Amanda F. Baker PharmD, PhD

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Hysterosalpingography Findings and Jimah Ratio of the Uterine Cavity in Women with Infertility in Central Region, Ghana by Bashiru Babatunde Jimah, Philip Gorleku, Anthony Baffour Appiah

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Lifetime Attributable Risk for Breast Cancer Induced by High-Resolution Computed Tomography During COVID-19 Pandemic by Roya Sahebi, Jafar Hassanzadeh, Rezvan Ravanfar Haghighi, Mehrzad Lotfi, Alireza Mirahmadizadeh

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Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects by Frank G. Zollner, Marek Kocinski, Laura Hansen, Alena-Kathrin Golla, Amira Serifovic Trbalic, Arvid Lundervold, Andrzej Materka, Peter Rogelj

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Intelligent imaging technology applications in multidisciplinary hospitals by Ke Fan, Lei Yang, Fei Ren, Xueyuan Zhang, Bo Liu, Ze Zhao, Jianwen Gu, Yuanyuan Ji

“…This technology offers an efficient solution for the analysis of various medical images by extracting and accurately identifying complex features. …”
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A Survey on Optical Coherence Tomography—Technology and Application by Ali Mokhtari, Bogdan Mihai Maris, Paolo Fiorini

“…This paper reviews the main research on Optical Coherence Tomography (OCT), focusing on the progress and advancements made by researchers over the past three decades in its methods and medical imaging applications. By analyzing existing studies and developments, this review aims to provide a foundation for future research in the field.…”
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A specific information-based multi-modal network (SIM-Net) for accurate diagnosis of breast lesions in multiparametric MRI: A multi-center study by Yunsong Peng, Yu Zheng, Lulu Han, Liangquan Sun

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Prevalence of Burnout and Job Satisfaction Among Interventional Radiologists in Saudi Arabia by Almamoon I. Justaniah, Renad M. Aljohani, Lama A. Alzelfawi

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Assessing the Use of Standardized Outcome Measures for Stroke Rehabilitation among Physiotherapists in Ghana by Seth Kwame Agyenkwa, Cosmos Yarfi, Adjoa Nkrumah Banson, Woyram Abla Kofi-Bediako, Ulric Sena Abonie, Seth Kwadjo Angmorterh, Eric Kwasi Ofori

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Radio-protective effects of ultra-fine bubble hydrogen water and serum protein responses in whole-body radiation-exposed mice by Masaru Yamaguchi, Khin Thandar Htun, Youta Tatara, Yoshiaki Sato, Masato Hosoda, Suchart Kothan, Chikashi Kamimura, Osamu Inanami, Ikuo Kashiwakura

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Systematic review of functional magnetic resonance imaging (fMRI) applications in the preoperative planning and treatment assessment of brain tumors by Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat, Hanan Fawaz Akhdar, Haytham Al Ewaidat, Abdallah Almahmoud, Abdel-Baset Bani Yaseen, Laith Al Badarneh, Omar Alhamad, Laith Alhamad

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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…Conventional convolutional neural networks (CNNs), despite their success in medical imaging, face limitations in capturing the complex, long-range dependencies in coronary artery images due to their localized receptive fields. …”
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Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset by Gennady Chuiko, Denys Honcharov

“…Early diagnosis and timely treatment are crucial for saving lives and reducing treatment costs. Various medical imaging techniques, such as mammography, computed tomography, histopathology, and ultrasound, are contemporary approaches for detecting and classifying breast cancer. …”
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An impermeable copper surface monolayer with high-temperature oxidation resistance by Su Jae Kim, Young-Hoon Kim, Bipin Lamichhane, Binod Regmi, Yousil Lee, Sang-Hyeok Yang, Seon Je Kim, Min-Hyoung Jung, Jae Hyuck Jang, Hu Young Jeong, Miaofang Chi, Maeng-Je Seong, Hak Soo Choi, Seong-Gon Kim, Young-Min Kim, Se-Young Jeong

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Mir-615-5p inhibits cervical cancer progression by targeting TMIGD2 by Yan Zhao, Haitao Chen, Wenhui Zhang, Wei Shang, Jinwei Cao, Huijuan Zhao, Zhixiang Zou

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The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis by Siraj Ghassel, Amir Jabbarpour, Jochen Lang, Eric Moulton, Eric Moulton, Ran Klein, Ran Klein, Ran Klein, Ran Klein

“…Background and objectiveThis study aimed to assess the impact of upsampling and downsampling techniques on the noise characteristics and similarity metrics of scintigraphic images in nuclear medical imaging.MethodsA physical phantom study using dynamic imaging was used to generate reproducible static images of varying count statistics. …”
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Intravoxel Incoherent Motion (IVIM) Diffusion-Weighted Imaging (DWI) in Patients with Liver Dysfunction of Chronic Viral Hepatitis: Segmental Heterogeneity and Relationship with Ch... by Lei Ding, Lianxiang Xiao, Xiangtao Lin, Chunmei Xiong, Lingbo Lin, Shijun Chen

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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

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