نتائج البحث

A Data-Constrained and Physics-Guided Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction.

• Authors : Zhang X; College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.; Rong Z

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Mar 09; Vol. 26 (5). Date of Electronic Publication: 2026 Mar 09.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study.

• Authors : Satoh Y; Imaging Center, Fujita Medical Innovation Center Tokyo, 1-1-4 Hanedakuko, Ota-ku, Tokyo, Japan. .; Department of Radiology, Fujita Health University School of Medicine, Aichi, Japan. .

• Source: EJNMMI physics [EJNMMI Phys] 2026 Feb 22; Vol. 13 (1). Date of Electronic Publication: 2026 Feb 22.Publisher: Springer-Verlag, GmbH Country of Publication: Germany NLM ID: 101658952 Publication Model: Electronic Cited Medium: Print ISSN:

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Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI.

• Authors : Topalis J; Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.; relAI - Konrad Zuse School of Excellence in Reliable AI, Garching, Germany.

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Machine Learning*

• Source: PloS one [PLoS One] 2025 Nov 17; Vol. 20 (11), pp. e0334604. Date of Electronic Publication: 2025 Nov 17 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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2D-to-3D Image Reconstruction in Agriculture: A Review of Methods, Challenges, and AI-Driven Opportunities.

• Authors : Sankaramaddi HR; Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA.; Lee WS

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Mar 11; Vol. 26 (6). Date of Electronic Publication: 2026 Mar 11.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Algebraic methods and computational strategies for pseudoinverse-based MR image reconstruction (Pinv-Recon).

• Authors : Yeung K; Oxford Centre for Clinical Magnetic Resonance (OCMR), University of Oxford, Oxford, OX3 9DU, UK.; Department of Oncology, University of Oxford, Oxford, OX3 7DQ, UK.

• Source: Scientific reports [Sci Rep] 2025 Oct 30; Vol. 15 (1), pp. 37997. Date of Electronic Publication: 2025 Oct 30.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine Learning-Based Image Reconstruction in Wearable CC-EIT of the Thorax: Robustness to Electrode Displacement.

• Authors : Jeschke J; Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland.; Ivanenko M

Subjects: Thorax*/Thorax*/Thorax*/diagnostic imaging ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Tomography*/Tomography*/Tomography*/methods

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Oct 23; Vol. 25 (21). Date of Electronic Publication: 2025 Oct 23.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Deep Learning-Based Image Reconstruction in Musculoskeletal MRI.

• Authors : Yoo HJ

• Source: Journal of the Korean Society of Radiology [J Korean Soc Radiol] 2025 Sep; Vol. 86 (5), pp. 567-586. Date of Electronic Publication: 2025 Sep 18.Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 9918452587406676 Publication Model: Print-Electronic Cited Medium:

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Basic acceleration technique with theoretical analysis on iterative algorithms for image reconstruction.

• Authors : Ji S; School of Mathematical Sciences, Capital Normal University, Beijing, China.; Ren B

Subjects: Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods ; Algorithms*

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2025 Sep; Vol. 33 (5), pp. 844-865. Date of Electronic Publication: 2025 May 11.Publisher: SAGE Publications Country of Publication: United States NLM ID: 9000080 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Image reconstruction of Arctic sea ice using SWIM data at small incidence angles.

• Authors : Bi W; College of Physical Science, Qingdao University, Qingdao, 266071, China.; Yu H

• Source: Scientific reports [Sci Rep] 2025 Jul 02; Vol. 15 (1), pp. 23386. Date of Electronic Publication: 2025 Jul 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Ultra-sparse view lung CT image reconstruction using generative adversarial networks and compressed sensing.

• Authors : Li Z; School of Integrated Circuits, Shandong University, Jinan, China.; Sun Z

Subjects: Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods ; Lung*/Lung*/Lung*/diagnostic imaging ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2025 Jul; Vol. 33 (4), pp. 803-816. Date of Electronic Publication: 2025 Apr 29.Publisher: SAGE Publications Country of Publication: United States NLM ID: 9000080 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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