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    Interpreting Intervention Induced Neuroplasticity with fMRI: The Case for Multimodal Imaging Strategies by Lee B. Reid, Roslyn N. Boyd, Ross Cunnington, Stephen E. Rose

    Published 2016-01-01
    “…Direct measurement of recovery from brain injury is an important goal in neurorehabilitation, and requires reliable, objective, and interpretable measures of changes in brain function, referred to generally as “neuroplasticity.” One popular imaging modality for measuring neuroplasticity is task-based functional magnetic resonance imaging (t-fMRI). …”
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  4. 1144

    Railway Foreign Object Intrusion Detection Using UAV Images and YOLO-UAT by Yang Yang, Zhanhao Liu, Junming Chen, Haiming Gao, Tao Wang

    Published 2025-01-01
    “…First, a railway foreign object intrusion image dataset is created. Then the EfficientNet network is employed to replace the backbone extraction network of YOLOv5s, achieving a lightweight model that enhances detection speed. …”
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  5. 1145

    Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors by Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo

    Published 2020-01-01
    “…A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. …”
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  6. 1146

    Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

    Published 2025-02-01
    “…To enhance the classification model’s performance,an image reconstruction model(IRM)based on convolutional neural networks was proposed to improve imaging precision. …”
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  7. 1147

    PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution by Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen

    Published 2025-01-01
    “…Polarimetric synthetic aperture radar (PolSAR) can acquire full-polarization information, which is the solid foundation for target scattering mechanism interpretation and utilization. Meanwhile, PolSAR image resolution is usually lower than the synthetic aperture radar (SAR) image, which may limit its potentials for target detection and recognition. …”
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  8. 1148

    Nuclear Imaging to Detect Diaphragmatic Perforation as a Rare Complication of Microwave Ablation by Stephanie Cull, Gebran Khneizer, Abhishek Krishna, Razi Muzaffar, Sameer Gadani, Zafar Jamkhana

    Published 2017-01-01
    “…We report a nuclear imaging technique used to efficiently diagnose and locate diaphragmatic defects. …”
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    The Fusion of Infrared and Visible Images via Feature Extraction and Subwindow Variance Filtering by Xin Feng, Haifeng Gong

    Published 2024-01-01
    “…This paper presents a subwindow variance filtering algorithm for fusing infrared and visible light images, with the goal of addressing challenges related to blurred details, low contrast, and missing edge features. …”
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    RF Performance of Layer-Structured Broadband Passive Millimeter-Wave Imaging System by Kunio Sakakibara, Kunihiko Ohkawa, Yutaka Aoki, Nobuyoshi Kikuma

    Published 2016-01-01
    “…Low profile and simple configuration are advantageous for RF module in passive millimeter-wave imaging system. High sensitivity over broad operation bandwidth is also necessary to detect right information from weak signal. …”
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  14. 1154

    Multimodal Imaging in a Patient with Hemidystonia Responsive to GPi Deep Brain Stimulation by Christos Sidiropoulos, Susan M. Bowyer, Andrew Zillgitt, Peter A. LeWitt, Hassan Bagher-Ebadian, Esmaeil Davoodi-Bojd, Jason M. Schwalb, Richard Rammo, Ellen Air, Hamid Soltanian-Zadeh

    Published 2017-01-01
    “…Whole brain MEG before and after anticholinergic medication was performed prior to surgery. 26-direction diffusion tensor imaging (DTI) was obtained in a 3 T MRI machine along with FT. …”
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  15. 1155

    Advancing Trans-Domain Classification With Knowledge Distillation: Bridging LIDAR and Image Data by Jesus Eduardo Ortiz, Werner Creixell

    Published 2025-01-01
    “…Recent advancements in deep learning have significantly improved image classification models, yet extending these models to alternative data forms, such as point clouds from Light Detection and Ranging (LiDAR) sensors, presents considerable challenges. …”
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    A Novel Fast Image Stitching Method Based on the Combination of SURF and Cell by Qing An, Xijiang Chen, Shusen Wu

    Published 2021-01-01
    “…The traditional image stitching method has some shortcomings such as double shadow, chromatic aberration, and stitching. …”
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    Monitoring of green areas in the University of Guadalajara through image processing in an HPC environment by Martín Pizano-Moreno, Jaime Ibarra-Nuño, Verónica Lizette Robles-Dueñas

    Published 2024-12-01
    “…These tools can generate a big image map of the interested zone which can be used to study the future condition and health of vegetation. …”
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    Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

    Published 2025-01-01
    “…The dataset for binary classification consisted of 4,257 facial images, including 1,599 normal cases and 2,658 strabismus cases, while the multi-class classification involved 480 strabismic and 142 non-strabismic images. …”
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    Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

    Published 2025-01-01
    “…In contrast, Adversarial Training, CAMs, and the Spatial Attention Mechanism showed trade-offs between interpretability and performance, each highlighting unique image features but with some impact on specificity and accuracy.…”
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