Search Results - "Tivnan M"

Platform Presentations.

Source: Emergency Medicine Journal (EMJ); 2025 Supplement, Vol. 42, pA7-A13, 18p

Learning-based multi-material CBCT image reconstruction with ultra-slow kV switching.

Authors: Ma, Chenchen Zhu, Jiongtao Zhang, Xin et al.

Source: Journal of X-Ray Science & Technology; Sep2025, Vol. 33 Issue 5, p831-843, 13p

Subject Terms: IMAGE reconstruction, CONE beam computed tomography, DEEP learning, ARTIFICIAL neural networks, SPECTRAL imaging

Image Imputation with conditional generative adversarial networks captures clinically relevant imaging features on computed tomography.

Authors: Rich, Joseph Le, Jonathan Raad, Ragheb et al.

Source: PLoS Digital Health; 8/13/2025, Vol. 4 Issue 8, p1-17, 17p

Efficient spectral data reduction for accurate iodine quantification in multi-energy CT.

Authors: Sandvold, Olivia F. Proksa, Roland Daerr, Heiner et al.

Source: Scientific Reports; 7/18/2025, Vol. 15 Issue 1, p1-11, 11p

Subject Terms: IODINE, DUAL energy CT (Tomography), MATERIALS analysis, APPLIED sciences, COMPUTER-assisted image analysis (Medicine), DATA compression, PROCESS optimization

Enhancing CCTA image quality: a review of deep learning approaches for advanced artifact correction and denoising.

Authors: Alkhodari, Mohanad Alefisha, Eman Jelinek, Herbert F. et al.

Source: Artificial Intelligence Review; Oct2025, Vol. 58 Issue 10, p1-67, 67p

PixelPrint 4D : A 3D Printing Method of Fabricating Patient-Specific Deformable CT Phantoms for Respiratory Motion Applications.

Authors: Im, Jessica Y. Micah, Neghemi Perkins, Amy E. et al.

Source: Investigative Radiology; Oct2025, Vol. 60 Issue 10, p636-646, 11p

Deciphering AI behaviors in microstructural material modeling of composites using diffusion models.

Authors: Khan, Abdul Wasay Balzani, Claudio

Source: IOP Conference Series: Materials Science & Engineering; 2025, Vol. 1338 Issue 1, p1-11, 11p

ТРАНСФОРМАЦИЯ ТЕАТРАЛЬНОЙ ЖУРНАЛИСТИКИ В ЭПОХУ МУЛЬТИМЕДИЙНЫХ ТЕХНОЛОГИЙ (Russian)

Alternate Title: The transformation of theater journalism in the era of multimedia technologies. (English)
Мультимедиялық технологиялар дәуіріндегі театр журналистикасының трансформациясы (Kazakh)

Authors: Велитченко, С. Н.

Source: Herald of Journalism / Habaršy Žurnalistika Seriâsy; 2024, Vol. 71 Issue 1, p68-79, 12p

Subject Terms: ONLINE journalism, PERFORMING arts, THEATER production & direction, ART history, LIFE skills education, MULTIMEDIA (Art)

Survey on sampling conditioned brain images and imaging measures with generative models.

Authors: Cheong, Sehyoung Lee, Hoseok Kim, Won Hwa

Source: Biomedical Engineering Letters; Sep2025, Vol. 15 Issue 5, p831-843, 13p

Performance of Dual-Layer Flat-Panel Detectors.

Authors: Kim, Dong Sik Lee, Dayeon

Source: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1889, 15p

Subject Terms: X-ray imaging, QUANTUM efficiency, DIAGNOSTIC imaging, MEDICAL digital radiography, SPECTRAL energy distribution, TRANSFER functions, MATERIALS analysis

Physics-Inspired Generative Models in Medical Imaging.

Authors: Hein, Dennis Bozorgpour, Afshin Merhof, Dorit et al.

Source: Annual Review of Biomedical Engineering; Jun2025, Vol. 27 Issue 1, p499-525, 25p

Temporal Denoising of Infrared Images via Total Variation and Low-Rank Bidirectional Twisted Tensor Decomposition.

Authors: Liu, Zhihao Jin, Weiqi Li, Li

Source: Remote Sensing; Apr2025, Vol. 17 Issue 8, p1343, 31p

Subject Terms: FOCAL plane arrays sensors, INFRARED detectors, PRINCIPAL components analysis, INFRARED imaging, IMAGE denoising

Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models.

Authors: Hein, Dennis Holmin, Staffan Szczykutowicz, Timothy et al.

Source: Visual Computing for Industry, Biomedicine & Art; 9/23/2024, Vol. 7 Issue 1, p1-14, 14p

Subject Terms: IMAGE denoising, COMPUTED tomography, DEEP learning, INVERSE problems, DIAGNOSTIC imaging

Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution.

Authors: Zhou, Zhongxing Gong, Hao Hsieh, Scott et al.

Source: Medical Physics; Aug2024, Vol. 51 Issue 8, p5399-5413, 15p

Subject Terms: CONVOLUTIONAL neural networks, TRANSFER functions, NOISE control, SPATIAL resolution, IMAGE reconstruction

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction.

Authors: Singh, Geethen Moncrieff, Glenn Venter, Zander et al.

Source: Scientific Reports; 7/13/2024, Vol. 14 Issue 1, p1-13, 13p

Subject Terms: DEEP learning, DATA distribution, MACHINE learning, FORECASTING

An Image-Based Prior Knowledge-Free Approach for a Multi-Material Decomposition in Photon-Counting Computed Tomography.

Authors: Neumann, Jonas Nowak, Tristan Schmidt, Bernhard et al.

Source: Diagnostics (2075-4418); Jun2024, Vol. 14 Issue 12, p1262, 18p

Subject Terms: CONTRAST media, COMPUTED tomography, SPECTRAL imaging, X-ray tubes, AQUEOUS solutions

Fast kV-switching and dual-layer flat-panel detector enabled cone-beam CT joint spectral imaging.

Authors: Zhou, Hao Zhang, Li Wang, Zhilei et al.

Source: Physics in Medicine & Biology; 6/7/2024, Vol. 69 Issue 11, p1-16, 16p

Subject Terms: SPECTRAL imaging, CONE beam computed tomography, DUAL energy CT (Tomography), DETECTORS, X-ray detection, X-ray scattering, NUMERICAL calculations, IMAGE reconstruction algorithms

Multi‐energy blended CBCT spectral imaging and scatter‐decoupled material decomposition using a spectral modulator with flying focal spot (SMFFS).

Authors: Deng, Yifan Zhou, Hao Wang, Zhilei et al.

Source: Medical Physics; Apr2024, Vol. 51 Issue 4, p2398-2412, 15p

Subject Terms: CONE beam computed tomography, SPECTRAL imaging, IMAGE-guided radiation therapy, X-ray scattering, DIAGNOSTIC imaging

Single‐shot quantitative x‐ray imaging using a primary modulator and dual‐layer detector.

Authors: Shi, Linxi Bennett, Nathaniel Robert Vezeridis, Alexander et al.

Source: Medical Physics; Apr2024, Vol. 51 Issue 4, p2621-2632, 12p

Subject Terms: X-rays, X-ray imaging, DETECTORS, STANDARD deviations, ECHO-planar imaging, CONE beam computed tomography, COPPER

Feasibility of bone marrow edema detection using dual‐energy cone‐beam computed tomography.

Authors: Liu, Stephen Z. Herbst, Magdalena Schaefer, Jamin et al.

Source: Medical Physics; Mar2024, Vol. 51 Issue 3, p1653-1673, 21p

Subject Terms: CONE beam computed tomography, BONE marrow, WRIST, MOLECULAR beams, BONE health, RECEIVER operating characteristic curves, EDEMA