Intra- and Extracranial MR Venography: Technical Notes, Clinical Application, and Imaging Development by M. Paoletti, G. Germani, R. De Icco, C. Asteggiano, P. Zamboni, S. Bastianello

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Evaluation of the DWT-PCA/SVD Recognition Algorithm on Reconstructed Frontal Face Images by Louis Asiedu, Bernard O. Essah, Samuel Iddi, K. Doku-Amponsah, Felix O. Mettle

“…The face is the second most important biometric part of the human body, next to the finger print. Recognition of face image with partial occlusion (half image) is an intractable exercise as occlusions affect the performance of the recognition module. …”
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Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system by M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai

Subjects: “…Image classification…”
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Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

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Bedside cerebral microvascular imaging of patients with disorders of consciousness: a feasibility study by Qianqian Ge, Lijie Huang, Qiang Fu, Shuai Han, Rui Wang, Jianghong He, Changhui Li, Changhui Li, Jianwen Luo, Long Xu

Subjects: “…ultrafast power Doppler imaging…”
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Application of Multitask Joint Sparse Representation Algorithm in Chinese Painting Image Classification by Dongyu Yang, Xinchen Ye, Baolong Guo

“…This paper presents an in-depth study and analysis of Chinese painting image classification by a multitask joint sparse representation algorithm for texture feature extraction of Chinese painting images and proposes a method to extract texture features directly for the original images. …”
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Multimodal magnetic resonance imaging studies on non-motor symptoms of Parkinson's disease by Weimin Qi, Xiaoyan Niu, Xiuping Zhan, Yazhou Ren, Jianhang He, Jianxia Li, Xiaolin Hou, Haining Li

“…Objective: This study aims to investigate the diagnostic value of multi-modal magnetic resonance imaging (MRI) utilizing arterial spin labeling (ASL), quantitative susceptibility mapping (QSM), and 3D T1-weighted imaging (3DT1WI) in patients with Parkinson's disease (PD). …”
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Significance of Linked Color Imaging for Predicting the Risk of Clinical Relapse in Ulcerative Colitis by Shuji Kanmura, Akihito Tanaka, Kazuki Yutsudou, Kosuke Kuwazuru, Fukiko Komaki, Yuga Komaki, Hiromichi Iwaya, Shiho Arima, Fumisato Sasaki, Shiroh Tanoue, Shinichi Hashimoto, Akio Ido

“…Recently, mucosal healing has emerged as an important therapeutic endpoint in UC. Linked color imaging (LCI) is a novel endoscopic system that enhances the color differences of the gastrointestinal mucosa. …”
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Improved Excitation Light Rejection Enhances Small-Animal Fluorescent Optical Imaging by Kildong Hwang, Jessica P. Houston, John C. Rasmussen, Amit Joshi, Shi Ke, Chun Li, Eva M. Sevick-Muraca

“…Molecular Imaging…”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

Subjects: “…Document image classification…”
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A Three-Step Approach with Adaptive Additive Magnitude Selection for the Sharpening of Images by Lih-Jen Kau, Tien-Lin Lee

“…Aimed to find the additive magnitude automatically and adaptively, we propose a three-step and model-based approach for the sharpening of images in this paper. In the first pass, a Grey prediction model is applied to find a global maximal additive magnitude so that the condition of oversharpening in images to be sharpened can be avoided. …”
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Multimodal Imaging of Waldenstrom Macroglobulinemia-Associated Hyperviscosity-Related Retinopathy Treated with Plasmapheresis by Michael J. Schatz, Carl S. Wilkins, Oscar Otero-Marquez, Toco Y. P. Chui, Richard B. Rosen, Meenakashi Gupta

“…The authors present a case of a patient with Waldenstrom macroglobulinemia who had resolution of white-centered peripheral retinal lesions and parafoveal outer nuclear layer hyperreflective material following plasmapheresis. Applying image analysis software to before and after OCT-A images, the authors were able to show an objective decrease in retinal capillary and large vessel density following plasmapheresis. …”
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Multifunctional Synthetic Poly(-Glutamic Acid)–Based Cancer Therapeutic and Imaging Agents by Marites P. Melancon, Chun Li

“…Molecular Imaging…”
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Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines by Siming Zeng, Jingran Jia, Tianxiang Ma, Boyan Jia, Xin Duan

“…Simulation experiments have verified that the image recognition technology based on AI can support omnidirectional monitoring of power transmission lines effectively.…”
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MR Imaging in Diagnosis of Pelvic Floor Descent: Supine versus Sitting Position by Francesca Iacobellis, Antonio Brillantino, Adolfo Renzi, Luigi Monaco, Nicola Serra, Beatrice Feragalli, Aniello Iacomino, Luca Brunese, Salvatore Cappabianca

“…The advent of open-configuration systems allowed for the evaluation of defecation with MR imaging in sitting position. The purpose of the present study is to compare the results of static and dynamic pelvic MR performed in supine position versus sitting position, using a new MR prototype machine, in the diagnosis of pelvic floor descent. …”
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Anatomical Measurement of Normal Eustachian Tube on the Temporal Bone Computed Tomography Imaging by Yanti Anita Ratag, Sri Asriyani, Bachtiar Murtala, Masyita Gaffar

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Sparse Representation-Based LDCT Image Quality Assessment Using the JND Model by Mo Shen, Rongrong Sun, Wen Ye

Subjects: “…CT images…”
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5D Hyperchaotic Image Encryption Scheme Based on Fibonacci Q-Matrix by Geeta Biban, Renu Chugh, Anju Panwar, Mohammad Sajid

“…This article proposed an image encryption scheme along a novel five-dimensional hyperchaotic system and a Fibonacci Q-matrix (FQ-matrix) for gray images. …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

“…This study aims to identify a biomarker from DATSCAN images and develop a machine learning (ML) algorithm for PD diagnosis. …”
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Fractional-Order Total Variation Image Restoration Based on Primal-Dual Algorithm by Dali Chen, YangQuan Chen, Dingyu Xue

“…This paper proposes a fractional-order total variation image denoising algorithm based on the primal-dual method, which provides a much more elegant and effective way of treating problems of the algorithm implementation, ill-posed inverse, convergence rate, and blocky effect. …”
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