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Artificial Intelligence in Breast Reconstruction: A Narrative Review
Published 2025-02-01“…However, challenges remain, including data quality, safety, algorithm transparency, and clinical integration. Despite these shortcomings, AI has the potential to revolutionize breast reconstruction by improving preoperative planning, surgical precision, operative efficiency, and patient outcomes. …”
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62
SART-Type Image Reconstruction from Overlapped Projections
Published 2011-01-01“…Inspired by the single-source simultaneous algebraic reconstruction technique (SART), we hereby develop a multisource SART-type reconstruction algorithm regularized by a sparsity-oriented constraint in the soft-threshold filtering framework to reconstruct images from overlapped projections. …”
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63
Thermal field reconstruction based on weighted dictionary learning
Published 2022-05-01“…Abstract Dynamic thermal management (DTM) is applied to address the thermal problem of high performance very‐large‐scale integrated chips. The false alarm rate (FAR) can be used to evaluate the impact of full‐chip thermal field reconstruction accuracy on DTM. …”
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64
Cross-modal adaptive reconstruction of open education resources
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65
Recent advances and controversies in head and neck reconstructive surgery
Published 2007-12-01“…Refinements in microsurgical free tissue transfer leave made restoration of form and complex functions of head and region a reality. Standardized reconstructive algorithms for common head and neck defects have been developed with predictable results. …”
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66
B. D. Karvasarsky and psychotherapy establishment as a distinct discipline, homo faber, to the 90-th anniversary since birth
Published 2021-12-01“…This publication emphasizes the recent research results in this field, makes a deep analysis of the target phenomena understanding in different approaches, other methods integration in personality oriented reconstructive psychotherapy, elaboration of the nosocentric target oriented psychotherapy algorithms and strategies, and also different psychotherapy interventions research.…”
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67
Machine Learning Reconstruction of Wyrtki Jet Seasonal Variability in the Equatorial Indian Ocean
Published 2025-07-01“…To address the scarcity of in situ observational data, this study developed a satellite remote sensing-driven multi-parameter coupled model and reconstructed the WJ’s seasonal variations using the XGBoost machine learning algorithm. …”
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68
Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling
Published 2025-07-01“…To address the challenges posed by system noise and strong nonlinear effects in dam deformation, this paper proposes a dam deformation monitoring model based on multi-layer integrated signal processing technology.【Method】The model uses sample entropy reconstruction and the K-means clustering algorithm to optimize the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) process, generating multiple intrinsic mode functions (IMF). …”
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69
Compressed Sensing Inspired Image Reconstruction from Overlapped Projections
Published 2010-01-01“…Second, the overlapped measurement carries less information than the traditional line integrals. To meet these challenges, we propose a compressive sensing-(CS-) based iterative algorithm for reconstruction from overlapped data. …”
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70
Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers
Published 2024-11-01“…The algorithm efficiently divides target genes into modules, predicting key transcription factors and kinases with minimal computational time. …”
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71
PyTomography: A python library for medical image reconstruction
Published 2025-02-01“…Its flexible and modular design decouples system matrices, likelihoods, and reconstruction algorithms, simplifying the process of integrating new imaging modalities using various python tools. …”
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72
Neutrino interaction vertex reconstruction in DUNE with Pandora deep learning
Published 2025-06-01“…Abstract The Pandora Software Development Kit and algorithm libraries perform reconstruction of neutrino interactions in liquid argon time projection chamber detectors. …”
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73
Reconstruction of Tokamak Plasma Emissivity Distribution by Approximation with Basis Functions
Published 2025-05-01“…This contribution presents the development of numerical algorithms addressing the problem of radiation tomography reconstruction. …”
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74
Manifold mesh reconstruction from dense matching points of oblique images
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75
Classification-based point cloud denoising and 3D reconstruction of roadways
Published 2025-05-01“…Meanwhile, the existing 3D reconstruction algorithms suffer from low modeling accuracy and high susceptibility to distortion. …”
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76
Holographic reconstruction of black hole spacetime: machine learning and entanglement entropy
Published 2025-01-01“…Abstract We investigate the bulk reconstruction of AdS black hole spacetime emergent from quantum entanglement within a machine learning framework. …”
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77
Automated LoD-3 Reconstruction Using Oblique UAV Images
Published 2025-07-01“…A ray-mesh intersection algorithm is implemented by projecting detected bounding boxes of windows onto the reconstructed LoD-2 model. …”
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78
3D reconstruction of digital rocks based on StyleGAN and transformer
Published 2025-04-01“…However, the advent of deep learning has paved the way for integrating these techniques into 3D digital rock reconstruction. …”
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79
Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
Published 2017-01-01“…We relate the matrix SB of the second moments of a spherically truncated normal multivariate to its full covariance matrix Σ and present an algorithm to invert the relation and reconstruct Σ from SB. …”
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80
Long-wave infrared computational multispectral metasurface and spectral reconstruction method
Published 2025-07-01“…This architecture establishes a hardware-algorithm co-design framework for next-generation infrared multispectral systems, demonstrating the potential for integrated superlattice detectors with sub-100 $$\upmu$$ m $$^{2}$$ pixel pitch, which represents a critical advancement for portable spectroscopic applications.…”
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