Large annotated ultrasound dataset of non-alcoholic fatty liver from Saudi hospitals for analysis and applicationsOpen Science framework or (OSF) by Fahad Alshagathrh, Mahmood Alzubaidi, Khalid Alswat, Ali Aldhebaib, Bushra Alahmadi, Meteb Alkubeyyer, Abdulaziz Alosaimi, Amani Alsadoon, Maram Alkhamash, Jens Schneider, Mowafa Househ

“…A large, diverse, and well-annotated dataset like ours is essential for enhancing model performance and generalization, providing a valuable resource for researchers to develop robust AI models in medical imaging.…”
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NAFPD exacerbation by hyperlipidemia combined with hyperuricemia: a pilot rat experiment in lipidomics by Jingyun Li, Jingyun Li, Yongjian Chen, Shilin Li, Guorong Lyu, Guorong Lyu, Furong Yan, Jiajing Guo, Jing Cheng, Yun Chen, Jiaojiao Lin, Yating Zeng

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Translation of PET radiotracers for cancer imaging: recommendations from the National Cancer Imaging Translational Accelerator (NCITA) consensus meeting by Martina A. McAteer, Daniel R. McGowan, Gary J. R. Cook, Hing Y. Leung, Tony Ng, James P. B. O’Connor, Luigi Aloj, Anna Barnes, Phil J. Blower, Kevin M. Brindle, John Braun, Craig Buckley, Daniel Darian, Paul Evans, Vicky Goh, David Grainger, Carol Green, Matt G. Hall, Thomas A. Harding, Catherine D. G. Hines, Simon J. Hollingsworth, Penny L. Hubbard Cristinacce, Rowland O. Illing, Martin Lee, Baptiste Leurent, Sue Mallett, Radhouene Neji, Natalia Norori, Nora Pashayan, Neel Patel, Kieran Prior, Thomas Reiner, Adam Retter, Alasdair Taylor, Jasper van der Aart, Joseph Woollcott, Wai-Lup Wong, Jan van der Meulen, Shonit Punwani, Geoff S. Higgins

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Guest Editorial Introduction to the Special Section on Image-Guided Therapies by Dieter Haemmerich, Punit Prakash

“…Numerous medical imaging modalities are clinically available and widely used in disease diagnosis and monitoring therapy response. …”
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Clinical case – medulloblastoma by A. Kablytė, R. Gleiznienė

“…Although tumor biopsy remains the gold standard for the diagnosis of medulloblastoma, diagnostic imaging methods such as computed tomography (CT) and magnetic resonance imaging (MRI) are very important as well. These medical imaging techniques give us a lot of necessary information about tumor localization in posterior cranial fossa and dissemination in surrounding brain tissue. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

“…Recent advancements showcase AI’s ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. …”
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Spontaneous Colo-Umbilical Fistula Complicating Diverticulitis of the Sigmoid Colon by Helen Bolanaki, Georgios Kouklakis, Nikos Courcoutsakis, Panagoula Oikonomou, Anastasios J. Karayiannakis

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Research on the Application of Variational Autoencoder in Image Generation by Liu Jianing

“…The rapid development of artificial intelligence and deep learning has significantly influenced the domain of image creation, finding extensive applications in applications in fields like medical imaging, computer vision, and entertainment. Despite these advancements, challenges remain, especially in enhancing the quality and variety of produced images. …”
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Release of biologically relevant substrates from prodrugs and nanocarriers using X- and γ-rays as trigger signals by Kumar, Amit, Dalko, Peter István

“…Beyond the historic opportunities that X-rays have opened up for medical imaging and cancer therapy, this modality is increasingly used for drug delivery from pro-drugs and nanomaterials. …”
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CMR in Heart Failure by Daniel M. Sado, Jonathan M. Hasleton, Anna S. Herrey, James C. Moon

“…Cardiovascular magnetic resonance (CMR) is a medical imaging technique with significant advantages, allowing the understanding of aetiology and pathophysiology of HF in the individual patient, permitting specific therapy to be administered and predicting prognosis. …”
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Sino-Orbital Aspergillosis in a Kidney Transplant Recipient by Christian Maalouli, Julien De Greef, Thierry Duprez, Arnaud Devresse, Caroline Huart, Maëlle Coutel, Nathalie Demoulin, Leïla Belkhir, Nada Kanaan

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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

“…IntroductionAlthough medical imaging plays a crucial role in stroke management, machine learning (ML) has been increasingly used in this field, particularly in lesion segmentation. …”
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Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation by Dong Q, Wu J, Zhang H, Chen X, Xu X, Chen J, Shi C, Luo L, Zhang D

“…Qiu Dong,1,* Jiayang Wu,2,3,* Huaguo Zhang,4,* Xinhui Chen,2,3 Xi Xu,2,3 Jifeng Chen,3 Changzheng Shi,2,3,5 Liangping Luo,3,5 Dong Zhang2,3 1Department of Bone and Joint Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People’s Republic of China; 2Medical Imaging Centre, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People’s Republic of China; 3The Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, the First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People’s Republic of China; 4Department of Ultrasonography, the First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, People’s Republic of China; 5Medical Imaging Centre, the Fifth Affiliated Hospital of Jinan University, Heyuan, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Dong Zhang, Email lbzhangdong@126.comPurpose: Immunometabolism is pivotal in rheumatoid arthritis (RA) pathogenesis, yet the intricacies of its pathological regulatory mechanisms remain poorly understood. …”
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Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study by Hossein Abdolrahimzadeh Fard, Salahaddin Mahmudi-Azer, Sepideh Sefidbakht, Pooya Iranpour, Shahram Bolandparvaz, Hamid Reza Abbasi, Shahram Paydar, Golnar Sabetian, Mohamad Mahdi Mahmoudi, Masoume Zare, Leila Shayan, Maryam Salimi

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New Insight for the Diagnosis of Gastrointestinal Acute Graft-versus-Host Disease by Florent Malard, Mohamad Mohty

“…In the recent years many progress has been made in medical imaging test and endoscopic techniques. The interest of these different techniques in the diagnosis of GI acute GVHD has been evaluated in several studies. …”
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Sparse-Coding-Based Computed Tomography Image Reconstruction by Sang Min Yoon, Gang-Joon Yoon

“…Computed tomography (CT) is a popular type of medical imaging that generates images of the internal structure of an object based on projection scans of the object from several angles. …”
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Constrictive Bronchiolitis and Ulcerative Colitis by Heather Ward, Kendra L Fisher, Ranjit Waghray, Jody L Wright, Sharon E Card, Donald W Cockcroft

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High-Frequency Vessel Wall Vibrations Associate With Stenosis Formation and Arteriovenous Fistula Failure by Luca Soliveri, MS, Sofia Poloni, MS, Paolo Brambilla, MD, Anna Caroli, PhD, Andrea Remuzzi, EngD, Michela Bozzetto, PhD, Kristian Valen-Sendstad, PhD

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Alternating Projections Filtering Algorithm to Track Moving Objects by Youssef Qranfal

“…An interest is often present in knowing evolving variables that are not directly observable; this is the case in aerospace, engineering control, medical imaging, or data assimilation. What is at hand, though, are time-varying measured data, a model connecting them to variables of interest, and a model of how to evolve the variables over time. …”
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Integration of Vibro-Acoustography Imaging Modality with the Traditional Mammography by H. Gholam Hosseini, A. Alizad, M. Fatemi

“…Integrating unique diagnostic information of VA with other medical imaging is one of our research interests. In this work, we establish correspondence between the VA images and traditional X-ray mammogram by adopting a flexible control-point selection technique for image registration. …”
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