A Scoring System Based on Diffusion Tensor Imaging and Blood Biochemistry Tests for Diagnosing Biliary Atresia in Infants by Bo Liu, Xiaoying Ni, Jin Zhu, Shuang Ding, Helin Zheng, Daisong Liu, Hongrong Xu, Jinhua Cai

“…Objectives: The aim of this study was to investigate the diagnostic value of a scoring system based on diffusion tensor imaging (DTI) and blood biochemistry tests for biliary atresia (BA) in infants. …”
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Joint recommendation algorithm based on tensor completion and user preference by Zhi XIONG, Kai XU, Lingru CAI, Weihong CAI

“…Aiming at the problem that existing recommendation algorithms have little regard for user preference,and the recommendation result is not satisfactory,a joint recommendation algorithm based on tensor completion and user preference was proposed.First,a user-item-category 3-dimensional tensor was built based on user-item scoring matrix and item-category matrix.Then,the Frank-Wolfe algorithm was used for iterative calculation to fill in the missing data of the tensor.At the same time,a user category preference matrix and a scoring preference matrix were built based on the 3-dimensional tensor.Finally,a joint recommendation algorithm was designed based on the completed tensor and the two preference matrices,and the differential evolution algorithm was used for parameter tuning.The experimental results show that compared with some typical and newly proposed recommendation algorithms,the proposed algorithm is superior to the compare algorithms,the precision is improved by 1.96% ~ 3.44% on average,and the recall rate is improved by 1.35%~2.40% on average.…”
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TensorFlow-Native Implementation for Crack Detection in Concrete Structures by Ayebare, Memory, Chavula, Petros, Mugisha, Simon, Byamukama, Willbroad

“…This paper presents a TensorFlow-native implementation for automated crack detection in concrete structures, addressing the critical need for efficient and objective infrastructure monitoring. …”
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Unlocking Chemotherapy Success: The Role of Diffusion Tensor Imaging in Breast Cancer Treatment by Anca Ileana Ciurea, Ioana Bene, Paul Cheregi, Thea Brad, Cristiana Augusta Ciortea, Georgeta Mihaela Rusu, Larisa Dorina Ciule, Andrada-Larisa Deac, Manuela Lavinia Lenghel

“…<b>Background:</b> This study investigates the role of Diffusion Tensor Imaging (DTI) in predicting the response to neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer. …”
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Role of Diffusion Tensor Imaging in Early Detection of Cervical Spondylotic Myelopathy: An Observational Study by Bhumika Dinesh Maheshwari, Jeffrey Skaria Joseph, Ealai athmarao Parthasarathy, KP Khavin Kumar, Sathyanarayanan Venkatesan

“…A strong positive correlation was observed between FA values at stenotic levels and mJOA scores (r=0.946, p=0.001), while a strong negative correlation was found between ADC values and mJOA scores (r=-0.920, p=0.001). …”
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Mapping traumatic axonal injury using diffusion tensor imaging: correlations with functional outcome. by Virginia Newcombe, Doris Chatfield, Joanne Outtrim, Sarah Vowler, Anne Manktelow, Justin Cross, Daniel Scoffings, Martin Coleman, Peter Hutchinson, Jonathan Coles, T Adrian Carpenter, John Pickard, Guy Williams, David Menon

“…This study aimed to use diffusion tensor imaging to relate clinical outcome to the burden of white matter injury.…”
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Diffusion–tensor MRI study of the relationship between glymphatic system asymmetry and onset lateralization in Parkinson’s disease by Zihan Li, Xinxin Miao, Qiumei Zhang, Jun Shen, Yongfeng Jia, Shaoyun Ge, Peixian Ji, Jianwei Wang, Kezhong Zhang, Min Wang

“…We conducted diffusion tensor imaging scans on 36 left-onset PD (LPD) patients, 27 right-onset PD (RPD) patients, and 49 healthy controls (HCs). …”
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Altered brain glymphatic function on diffusion-tensor MRI in patients with spontaneous intracerebral hemorrhage: an exploratory study by Xiaona Xia, Qingguo Ren, Juntao Zhang, Shuai Guan, Qingjun Jiang, Ying Wei, Rui Hua, Shen Zhao, Xiangjun Hu, Xiangjun Hu, Feng Shi, Xiangshui Meng

“…In the chronic sICH group, the ALPS index was significantly correlated with MoCA scores (r = 0.425, FDR-p = 0.014). In chronic sICH groups, GM% served as a significant mediator in the relationship between the DTI-ALPS index and MoCA scores (indirect effects β = 4.925, 95%CI: 0.028, 11.841). …”
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Tensor-valued diffusion MRI detects brain microstructural abnormalities in HIV infected individuals with cognitive impairment by Md Nasir Uddin, Meera V. Singh, Abrar Faiyaz, Filip Szczepankiewicz, Markus Nilsson, Zachary D. Boodoo, Karli R. Sutton, Madalina E. Tivarus, Jianhui Zhong, Lu Wang, Xing Qiu, Miriam T. Weber, Giovanni Schifitto

“…Moreover, a significant interaction between HIV status and imaging metrics in gray and white matter was observed, particularly impacting total cognitive scores. Of interest, DTI metrics were less likely to be associated with HIV status than tensor-valued diffusion metrics. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…This paper proposes a novel approach for robust anomaly detection by integrating tensor robust principal component analysis (TRPCA) with autoencoding adversarial networks (AEAN). …”
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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

“…Visual analogue scale scores demonstrated a significant positive relationship between DTI metrics and NFL, validating their potential as radiological and fluid-based markers of symptom severity.Conclusions Combined DTI and serum NFL measurements may enhance the evaluation of axonal injury in MS by providing complementary in vivo and biochemical perspectives. …”
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Research on a Joint Extraction Method of Track Circuit Entities and Relations Integrating Global Pointer and Tensor Learning by Yanrui Chen, Guangwu Chen, Peng Li

“…Given the current lag in joint extraction technology within the railway domain and the inefficiency in resource utilization, this paper proposes a joint extraction model for track circuit entities and relations, integrating Global Pointer and tensor learning. Taking into account the associative characteristics of semantic relations, the nesting of domain-specific terms in the railway sector, and semantic diversity, this research views the relation extraction task as a tensor learning process and the entity recognition task as a span-based Global Pointer search process. …”
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Role of Diffuse Tensor Imaging in Predicting Outcomes of Decompressive Surgery in Degenerative Cervical Myelopathy—A Prospective Analysis by Neeraj Sharma, Rajesh Alugolu, Dinesh Gangapatnam, Mudumba Vijaya Saradhi

“…Advances in magnetic resonance imaging (MRI), especially diffusion tensor imaging (DTI), elucidate the damaged or compressed fiber tracts in the cord. …”
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Cognitive impairment and vulnerability of cholinergic brain network in the Alzheimer’s continuum: free-water imaging based on diffusion tensor imaging by Simin Zhao, Yuting Nie, Lulu Wen, Xinzuo Qin, Liyuan Huang, Changbiao Chu, Miao Qu, Miao Qu

“…In AD, the FWf within Ch4 was correlated with total MoCA score (R = −0.42, p = 0.015), especially with visual spatial/executive (R = −0.47, p = 0.006) and orientation deficits (R = −0.38, p = 0.029). …”
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Distinguishing Early from Late Mild Cognitive Impairment Using Magnetic Resonance Free-Water Diffusion Tensor Imaging by Maurizio Bergamino, Molly M. McElvogue, Ashley M. Stokes, Alzheimer’s Disease Neuroimaging Initiative

“…This study used free-water diffusion tensor imaging (fw-DTI) to investigate white matter differences and voxel-based correlations with Mini–Mental State Examination (MMSE) scores. …”
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A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation by Muhammad Bilal, Ioan Lucian-Popa

“…To address this challenge, this study introduces the novel concept of the Hesitant Fuzzy Tensor (HFT), a multidimensional extension of hesitant fuzzy sets, capable of representing multiple opinions across complex criteria spaces. …”
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Structural brain network in relation to language in school-aged extremely preterm children: A diffusion tensor imaging study by M. Boumeester, E. Blom, T. Boerma, F. Lammertink, M.P. van den Heuvel, J. Dudink, M.J.N.L. Benders, E. Roze

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Individualized surgical management of supratentorial hypertensive intracranial hemorrhage: a retrospective study using 3D Slicer and diffusion tensor imaging by Haifeng Lin, Haiyan Zhao, Jianmin Wang, Enqi Wu, Taiping An

“…The proportion of patients with an mRS score ≤ 3 was 48.0% at three months and 70.3% at one year post-operatively. …”
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Application of apparent diffusion coefficient of extraocular muscles from diffusion tensor imaging scanning in the assessment of disease activity of thyroid eye disease by Cheng Yang Tang, Qian Huang, Liang Liang, Ming Qiao Zhang, Xiao Ya Zheng, Jian Long

“…Method Forty-two TED patients who underwent diffusion tensor imaging(DTI) were retrospectively enrolled in this study, including 29 patients in analysis group and 13 patients in validation group. …”
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White Matter Microstructure Alteration in Patients with Drug-Induced Parkinsonism: A Diffusion Tensor Imaging Study with Tract-Based Spatial Statistics by Ling Sun, Shijia He, Bo Cheng, Yao Shen, Wenhao Zhao, Rong Tu, Shushan Zhang

“…Results: The Argentina Hyposmia Rating Scale (AHRS) scores of patients in DIP group were markedly higher than those in PD patients group. …”
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