Clinical Usefulness of Atrioventricular Coupling in Cardiovascular Disease by Yang Lan, Li Zhenyi, Chen Ya, Chen Anni, Wang Xinqi, Jin Lin, Li Zhaojun

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Advanced ellipse overlap computation based on segment area of circles by Minhye Kim, Yongkuk Kim, Giphil Cho

“…Our research applies to fields like robotics, GIS, industrial clustering, and biology, with strong potential in medical imaging and diagnosis.…”
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Assessment of Staff’s Knowledge, Attitude, and Practice on Radiation Protection Measures in Mazandaran Province, Iran by Danial Seifi, Alireza Khorrami

“… Purpose: Ionizing radiation in medical imaging is one of the dominant diagnostic tools, and also correct knowledge of radiation protection affects staff safety behaviors during examinations. …”
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Hypothesis: ultrasonography can document dynamic in vivo rouleaux formation due to mobile phone exposure by Robert R. Brown, Robert R. Brown, Robert R. Brown, Barbara Biebrich

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Supervised contrastive pre-training models for mammography screening by Zhenjie Cao, Zhuo Deng, Zhicheng Yang, Jie Ma, Lan Ma

“…We believe this work is the first to show that supervised contrastive pre-training (SCP) followed by supervised fine-tuning (SF) can outperform the supervised counterpart on these two critical medical imaging tasks.…”
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Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

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Golden Tandem of Photothermal Ablation and Simultaneous Anti-Inflammation in One Nanoparticle for Activated Macrophage-Targeted Atherosclerosis Treatment by Lu Y, Wang Y, Li Y, Li Y, Jiang YW, Li J

“…Yuqing Lu,1,* Yan Wang,2,* Yize Li,1,* Yunan Li,1 Yao-Wen Jiang,1,3 Jingjing Li1,3 1School of Medical Imaging, Xuzhou Medical University, Xuzhou, 221004, People’s Republic of China; 2The First Clinical Medical College, Xuzhou Medical University, Xuzhou, 221004, People’s Republic of China; 3Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yao-Wen Jiang; Jingjing Li, Email [email protected]; [email protected]: Photothermal therapy (PTT) is attracting increasing attention in treating atherosclerotic plaques. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Abstract Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. …”
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Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot by Anubhav Dogra, Dominic Jones, Arturo Ignacio Hernandez Serrano, Shruti Chakraborty, Jacob Joshua Young, Benjamin George Page, Joseph Hardwicke, Pietro Valdastri, Emma Pickwell-MacPherson

“…Abstract Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and having sub-millimeter depth resolution, making it suitable for medical imaging. Skin conditions including eczema, psoriasis and skin cancer affect a high percentage of the population and we have been developing a THz probe to help with their diagnosis, treatment and management. …”
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Is the Adventitial Vasa Vasorum in Vulnerable Carotid Plaques Increased or Decreased? by Wang Yixuan, Jin Lin, Chen Jianxiong, Yang Huixian, Shen Cuiqin, Xu Wenzhe, Shen Yuzhou, Huang Jun, Sun Liwan, Du Lianfang, Wang Bei, Li Fan, Li Zhaojun

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Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

“…Optimizing this model for a balance between accuracy and efficiency will be necessary for real-time medical imaging applications.…”
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Financing healthcare services: a qualitative assessment of private health insurance schemes in Ghana by Angela Asante, Richard A. Bonney, Peter Twum

“…Benefit packages varied, with distinct plans like the “X-scan plan” for medical imaging. Payment structures ranged from upfront payments to flexible options. …”
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An Analysis of the Rate and Reasons for Rejected Radiographs in Emergency and Non-Emergency Radiology Departments in Yasuj, Iran by Seyyed Amir Moradian, Hamed Zamani, Saman Dalvand

“…Materials and Methods: This cross-sectional study was carried out over 14 days in Yasuj, Iran, in the accident and emergency (round-the-clock) and non-emergency (day) medical imaging departments. In terms of quality, a total of 7,006 images were classified into the following three grades; A (Good), B (Fair), and C (rejected). …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…In the last decade, medical imaging techniques show its efficiency in helping radiologists to detect and diagnose the diseases. …”
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Comprehensive study for radiation shielding features for Bi2O3–B2O3–ZnO composite using computational radioanalytical Phy-X/PSD, MCNP5, and SRIM software by Y. S. Alajerami, M. H. A. Mhareb, M. I. Sayyed, M. Kh. Hamad, F. Kodeh, M. Rashad, M. Mitwalli

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SLC7A11 is a potential therapeutic target and prognostic biomarker correlated with immune cell infiltration in cervical cancer by Mutangala Muloye Guy, Tingting Bian, Longyun Sun, Yiping Hao, Xinlin Jiao, Wenjing Zhang, Teng Zhang, Baoxia Cui

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Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy by Yang Qiu, Honghui Li, Kun Yu, Jiali Chen, Li Qi, Yinghua Zhao, Liming Nie

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Evaluation of Patients’ Received Doses in Chest CT Scan Protocols for COVID-19 Diagnosis by Sadegh Shurche, Tinoosh Almasi, Maryam Tima, Nima Rostampour

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Entrepreneurship in Medical Education: Evaluation of the Entrepreneurship in Healthcare Seminar Series by Amanda Mac, Hayley McKee, Michael Balas, Aazad Abbas, Aida Ahrari, Pawandeep Sandhu, Dante Morra, Sarah McClennan, Alison Freeland

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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

“…This research contributes to the ongoing efforts to integrate deep learning into medical imaging workflows for more effective and reliable diagnostic outcomes.…”
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