Magnetic Resonance Imaging in Multiple Sclerosis: An Analysis of the Implementation of the Portuguese Consensus by Ricardo Soares dos Reis, Alyne Cordeiro, Ana João Marques, Ana Rita Castro, Cristiana Silva, Duarte Carapinha, Francisca Ferreira, Miguel Schön, Daniela Jardim Pereira, João Paulo Gabriel, Luís Ruano, Mariana Santos, Miguel Grunho, Mónica Santos, José Vale, Maria José Sá

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Securing Multiple Information Using Bio-Chaotic Keys by Gaurav Verma, Wenqi He, Dajiang Lu, Meihua Liao, Xiang Peng, John Healy, John Sheridan

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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

“…Abstract Developing robust and secure image encryption methods for transmitting multiple images in batches over unprotected networks has become imperative. …”
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Analysis of the ‘Anti-scattering’ Capacity of Computational Ghost Imaging System in Solid Scattering Material by Ruiqing He, Wenwen Zhang, Baoqing Sun, Miguel A. Olvera, Zitao Lin, Qian Chen

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Choroid plexus volume in multiple sclerosis: a systematic review and meta-analysis of an emerging imaging biomarker by Elham Moases Ghaffary, Mohammad Yazdan Panah, Omid Mirmosayyeb, Farhad Mahmoudi, Saeed Vaheb, Vahid Shaygannejad, Flavia Nelson

“…Abstract Background The choroid plexus (CP), as a structure located in the ventricles of the brain, is a critical site of immune signaling, and many studies have claimed that it may act as a biomarker for multiple sclerosis (MS). This review aimed to assess the CP volume (CPV) in people with MS (PwMS) and its correlation with disability scores and magnetic resonance imaging (MRI) metrics. …”
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DEEP LEARNING-BASED SUPER-RESOLUTION TECHNIQUES: A COMPARATIVE ANALYSIS WITH RECENT INSIGHTS by Renuka Sambhaji Sindge, Maitreyee Dutta, Jagriti Saini

“…Afterwards, this paper discussed a group of standard frameworks and benchmark datasets with relevant features, performance evaluation metrics, and real-world applications to facilitate improved user experiences, analysis, and decision-making and open issues concerning single and multiple SR. …”
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MULTIPLE INTERPRETATIONS OF IMAGES OF SPAIN IN THE VOCAL WORKS OF COMPOSERS: A COMPARATIVE ANALYSIS OF ROMANCES BASED ON THE PUSHKIN’S POEMS by Valentina L. Boiko

“…One of them is the method of comparative analysis, which examines vocal works of different composers written to the same poem. …”
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Aligning knowledge concepts to whole slide images for precise histopathology image analysis by Weiqin Zhao, Ziyu Guo, Yinshuang Fan, Yuming Jiang, Maximus C. F. Yeung, Lequan Yu

“…Abstract Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. …”
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Analysis of Scattering Mechanisms in SAR Image Simulations of Japanese Wooden Buildings Damaged by Earthquake by Yang Yu, Wataru Takeuchi

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Evaluation of an automatic image classifier for analysis of bacterial growth on a multiple-agar plate developed for bovine mastitis. by Lena-Mari Tamminen, Josef Dahlberg

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Assessment of axonal injury in multiple sclerosis: combined analysis of serum light-chain neurofilaments and diffusion tensor imaging by Mohammadreza Sharifi, Milad Jalilian, Mohammadreza Elhaie, Iraj Abedi

“…Background Multiple sclerosis (MS) is a chronic neuroinflammatory condition characterised by demyelination and axonal damage in the central nervous system. …”
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Detection of multiple pesticide residues on the surface of broccoli based on hyperspectral imaging by GUI Jiangsheng, GU Min, WU Zixian, BAO Xiao’an

“…To increase efficiency of the model and reduce the redundancy of the hyperspectral image, using the principal component analysis (PCA) algorithm and successive projection algorithm (SPA) for feature extraction. …”
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Spatial imaging unlocks the potential of charting multiple myeloma and extramedullary disease by Vanessa Desantis, Alessandro Andriano, Tim Düking, Olga Hartwig, Giuseppe Ingravallo, Marta Biondo, Cirino Botta, Roberto Ria, Angelo Vacca, Antonio Giovanni Solimando

“…To this aim, we employed MACSima™ Imaging Cyclic Staining (MICS) to unveil distinct biomarker expression profiles as companion diagnostics for a personalized therapeutic approach for MM. …”
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Analysis of the Influence of CT Imaging Conditions on the CT Image Features of Pulmonary Nodule Phantoms by Jing Li, Daidi Zhong, Shuo Wang, Chunjing Tao, Hao Wang

“…By studying the impact of CT imaging conditions on image features of pulmonary nodule phantoms, this study explores possibility to optimize the diversity of imaging conditions when building a test set for AI-enabled medical device software for pulmonary nodule analysis. …”
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Multiple color images security by SPN over the residue classes of Gaussian integer $$\:Z{\left[i\right]}_{h}$$ by Muhammad Sajjad, Tariq Shah, Rafik Hamza, Bander Almutairi, Robinson Julian Serna

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Histogram analysis of multiple mathematical diffusion-weighted imaging models for preoperative prediction of Ki-67 expression in hepatocellular carcinoma by Hongxiang Li, Jing Zhang, Baoer Liu, Zeyu Zheng, Yikai Xu

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Networked Chaotic Map Model and Its Applications in Color Multiple Image Encryption by Yu-jie Sun, Hao Zhang, Chun-peng Wang, Zhen-yu Li, Xing-yuan Wang

“…Several analyses, including histogram analysis, information entropy analysis, correlation analysis, key sensitivity, differential attack analysis, and resistance analyses, are performed to test the effectiveness and robustness of the proposed multiple image encryption algorithm with a networked chaotic map model.…”
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Deep learning‐based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images by Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul‐Ho Kim, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung‐won Lee, Sup Kim, Il‐Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo

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Integrating TSPO-PET imaging with metabolomics for enhanced prognostic accuracy in multiple sclerosis by Jens Kuhle, Laura Airas, Daniel C Anthony, David Leppert, Eline Willemse, Fay Probert, Johanna Oechtering, Markus Matilainen, Marcus Sucksdorff, Daniel E Radford-Smith, Abi G Yates, Tereza Kacerova, Marjo Nylund, Aleksandra Maleska Maceski

“…However, integrating TSPO imaging with serum metabolite analysis substantially enhances predictive accuracy. …”
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Single‐cell analysis of population context advances RNAi screening at multiple levels by Berend Snijder, Raphael Sacher, Pauli Rämö, Prisca Liberali, Karin Mench, Nina Wolfrum, Laura Burleigh, Cameron C Scott, Monique H Verheije, Jason Mercer, Stefan Moese, Thomas Heger, Kristina Theusner, Andreas Jurgeit, David Lamparter, Giuseppe Balistreri, Mario Schelhaas, Cornelis A M De Haan, Varpu Marjomäki, Timo Hyypiä, Peter J M Rottier, Beate Sodeik, Mark Marsh, Jean Gruenberg, Ali Amara, Urs Greber, Ari Helenius, Lucas Pelkmans

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