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  1. 1101

    A voxel-based morphometric study of age- and sex-related changes in white matter volume in the normal aging brain by Liu H, Wang L, Geng Z, Zhu Q, Song Z, Chang R, Lv H

    Published 2016-02-01
    “…Structural images were processed using VBM8 and statistical parametric mapping 8. …”
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    Article
  2. 1102

    Mechanistic insights into high strain rate deposition of tantalum carbide coatings via cold spray by Ambreen Nisar, Sohail M.A.K. Mohammed, Denny John, Anil Lama, Yiefi Fu, Rony T Murickan, Sudipta Seal, Arvind Agarwal

    Published 2025-10-01
    “…While cold spray (CS) is traditionally limited to metals and metal-ceramic composites, this study demonstrates its capability to consolidate a pure ultra-high temperature ceramic (UHTC), tantalum carbide (TaC), a superhard material considered highly challenging for processing. …”
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  3. 1103

    Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma by Xingwang Gao, Xingwang Gao, Xingwang Gao, Yinglin Peng, Shanfu Lu, Yuhan An, Meining Chen, Jun Zhang, Runda Huang, Yiran Wang, Zhenyu Qi, Yao Lu, Chong Zhao, Xiaowu Deng, Jingjing Miao, Yimei Liu

    Published 2025-07-01
    “…We aimed to utilize deep learning techniques in combination with multi-sequence magnetic resonance imaging (MRI) radiomics and dosiomics to predict the risk of nasopharyngeal necrosis in patients with recurrent nasopharyngeal carcinoma undergoing re-irradiation therapy.Materials and methods117 patients with rNPC were included, comprising pre-treatment multi-sequence MR images (including T1, T1C, and T2 sequences) and a planned re-irradiation therapy dose distribution. …”
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  4. 1104
  5. 1105

    Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

    Published 2025-01-01
    “…However, achieving consistent part quality and desired material properties is challenging due to intricate processing parameters and potential process defects such as dynamic melt-pool behavior and localized heat accumulation. …”
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  6. 1106
  7. 1107

    Hyperspectral In-Situ Monitoring for Deep Learning-Based Anomaly Classification in Metal Additive Manufacturing by Charles Snyers, Julien Ertveldt, Kyriakos Efthymiadis, Jan Helsen

    Published 2024-01-01
    “…Detecting and avoiding material defects to meet high material requirements remains a challenge due to the complexity of the process. …”
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  8. 1108
  9. 1109

    A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

    Published 2025-07-01
    “…We intend to elucidate the challenges and limitations of previous models in order to produce a generalizable model across different subjects using advanced deep learning methods. Materials and Methods: We've designed a new deep learning model based on transformers for processing fMRI data. …”
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    Article
  10. 1110

    NIR‐II AIEgens for High‐Contrast Intravital Fluorescence Angiography: Recent Advances and Prospects by Zhijun Zhang, Xue Li, Hao Yang, Caifa You, Kui Ren, Zengming Yang, Miaomiao Kang, Dong Wang, Ben Zhong Tang

    Published 2025-08-01
    “…ABSTRACT The vasculature, as the essential biological network for oxygen and nutrients delivery and the dynamic regulatory center for physiological processes, is fundamentally important for maintaining human health and life quality. …”
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  11. 1111

    Effect of Chewing Hardness on Cognitive-Associated Brain Regions Activation by Hansol Lee, Ji-Hye Kim, Seungho Kim, Sung Ho Jang, Yongmin Chang, Youn-Hee Choi

    Published 2025-06-01
    “…Methods: A total of 52 healthy young adults (average age of 21.81 years; 24 men and 28 women) underwent fMRI scanning, during which 27 individuals chewed soft and 25 individual chewed hard material. The functional magnetic resonance imaging (fMRI) was employed to elucidate the overlapping and distinct patterns of activated brain regions associated with soft- and hard-chewing conditions. …”
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  12. 1112

    Surface-based morphometry of the cerebral cortex in cognitive impairments of varying severity in patients with age-related cerebral small vessel disease by Elena I. Kremneva, Larisa A. Dobrynina, Kamila V. Shamtieva, Victoria V. Trubitsyna, Zukhra S. Gadzhieva, Angelina G. Makarova, Maria M. Tsypushtanova, Marina V. Krotenkova

    Published 2024-12-01
    “…The assessment included the analysis of signs of cerebral small vessel disease based on the results of magnetic resonance imaging with the computation of general cerebral small vessel disease index and processing T1 multiplanar reconstruction images by surface-based morphometry to quantify general and regional brain parameters, including the thickness of the cerebral cortex. …”
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  13. 1113

    The role of cardiac MRI in risk stratification for sudden cardiac death in patients with hypertrophic cardiomyopathy by M. S. Ishchenko, K. V. Rudenko, V. V. Lazoryshynets, Yu. I. Vitkovskyi, M. O. Tregubova, P. A. Danchenko

    Published 2024-05-01
    “…Statistical and mathematical data processing was performed by using the Statistica 6.0 (StatSoft Inc., USA) application package. …”
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  14. 1114
  15. 1115
  16. 1116

    A FUSED PET/MRI IN A PLANNING AND PERFORMING STEREOTACTIC OPERATIONS IN BRAIN TUMORS by A. I. Kholyavin, V. B. Nizkovolos, A. F. Gurchin, T. Yu. Skvortsova

    Published 2017-10-01
    “…Objective – study of the diagnostic capabilities of MRI and PET/CT scanners and the available user programs for processing DICOM-images in the implementation of the preoperative planning of stereotactic interventions in patients with deep cerebral gliomas in terms of fusion the scans of a brain.Material and methods. 35 stereotactic surgeries (biopsies and treatment cryoablations) were preplanned and then conducted in patients with brain deep-seated tumors. …”
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  17. 1117
  18. 1118

    Target Detection and Characterization of Multi-Platform Remote Sensing Data by Koushikey Chhapariya, Emmett Ientilucci, Krishna Mohan Buddhiraju, Anil Kumar

    Published 2024-12-01
    “…Conventionally, target detection in remote sensing has relied on statistical methods that typically assume a linear process for image formation. However, to enhance detection performance, it is critical to account for the geometric and spectral variabilities across multiple imaging platforms. …”
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  19. 1119

    Assessing 3D-modeling techniques based on a combination of positron emission tomography-and computed tomography as a means to detect tumor invasion of the paragastric tissue in gas... by T. V. Khorobrykh, E. V. Poddubskaya, V. G. Agadzhanov, L. M. Tulina, I. V. Ivashov, A. V. Grachalov, M. A. Tsai, Ia. A. Drach, Z. A. Omarova

    Published 2025-07-01
    “…The obtained results were analyzed through visual assessment of CT and PET images separately, as well as through fused scans, followed by 3D reconstruction based on CT DICOM data. …”
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  20. 1120