Results 91 to 100 of about 8,755 (208)

Target Detection Based on Improved Hausdorff Distance Matching Algorithm for Millimeter-Wave Radar and Video Fusion. [PDF]

Sensors (Basel), 2022
Xu D, Liu Y, Wang Q, Wang L, Liu R.
europepmc   +1 more source

Uncertainty quantification of U‐Net based segmentation tool using conformal prediction

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background The radiation therapy treatment process is very labour intensive, and artificial intelligence (AI) based auto contouring tools are increasingly being adopted to improve efficiency. However, current acceptance testing of AI auto contouring algorithms relies primarily on area‐ and distance‐based metrics, with limited assessment of ...
Bailey J. Borden, John B. Graham‐Knight, Patricia Lasserre, Sarah Lucas, Rasika D. Rajapakshe   +4 more
wiley   +1 more source

Personalized eye protection for head CT organ‐based tube current modulation: A deep learning approach to derive 3D eyeball models from a single‐view topogram

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background The lens of the eye is highly radiosensitive, yet personalized shielding during head CT remains challenging due to the lack of a rapid, pre‐scan localization method. Purpose To develop and validate a deep learning solution that enables automated, patient‐specific eye protection by generating a precise 3D eyeball model directly from ...
Xiaolin Meng, Lei Zhu, Shenghao Chen, Manhua Liu, Yang Wang   +4 more
wiley   +1 more source

Blinded, bias‐controlled multi‐rater evaluation of human‐versus‐AI brain metastasis segmentation using a hybrid foundation‐model framework

Medical Physics, Volume 53, Issue 7, July 2026.
Abstract Background Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment. However, manual contouring is time‐intensive, limiting clinical scalability, and exhibits substantial inter‐observer variability.
Yiding Han, Enze Zhu, Mhd Hasan AI Mekdash, Omar Awad, Piyush Pathak, Shixiao Liang, Daniel Allan Hamstra, Xizhe Zhang, Zaid Ali Siddiqui, Baozhou Sun   +9 more
wiley   +1 more source

Clinically Feasible White Matter Fiber Tractography in Peritumoral Zones With Cerebral Vasogenic Edema

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 287-301, July 2026.
ABSTRACT Purpose In diffusion MRI, vasogenic edema manifests as a major fraction of isotropic water that dilutes the anisotropic intra‐axonal portion of the signal. Many tractography algorithms mistake vasogenic edema for the white matter boundary and terminate tracking to prevent producing spurious streamlines.
Patryk Filipiak, Timothy M. Shepherd, Kamri Clarke, Gaia Ressa, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete   +6 more
wiley   +1 more source

Refined Modeling of Arctic Circumpolar Building Stock Increases Estimated Mid‐Century Permafrost Degradation Damages

Earth's Future, Volume 14, Issue 7, July 2026.
Abstract Near‐surface permafrost degradation has the potential to damage infrastructure needed to sustain Arctic communities, but risk assessments remain highly uncertain due to a limited representation of the Arctic circumpolar building stock. With deep learning building footprint detection and building occupancy classification models, we expand the ...
E. Manos, D. A. Streletskiy, C. Witharana, E. Haggerty, A. K. Liljedahl   +4 more
wiley   +1 more source

Seniority‐Zero Quadratic Canonical Transformation Theory

International Journal of Quantum Chemistry, Volume 126, Issue 12, June 15, 2026.
We construct a unitary transformation of electronic Hamiltonians using quadratic canonical transformation theory, choosing the transformation to minimize the non‐seniority‐zero elements of the transformed Hamiltonian. This allows us to add dynamic correlation to the static correlation inherent in orbital‐optimized doubly‐occupied (seniority‐zero ...
Daniel F. Calero‐Osorio, Paul W. Ayers
wiley   +1 more source

ANALYSIS OF FRESCHET AND HAUSDORF METRICS AND THEIR MODIFICATIONS FOR IMAGE COMPARISON

Компютерні системи та інформаційні технології
This paper provides a comprehensive analysis of classical and modern metric approaches used for quantitative evaluation of image similarity, including the Fréchet and Hausdorff distances as well as their modifications – the Gromov-Fréchet and Gromov ...
Микола БЕРЕЗЬКИЙ
doaj   +1 more source

Fubini‐Study Metric Tensor Evolution and Reduced State Distinguishability in Geometry‐Aware Optimization for Reliable Near‐Term Variational Quantum Eigensolvers

International Journal of Quantum Chemistry, Volume 126, Issue 13, July 5, 2026.
During optimization via the quantum natural gradient in a variational quantum eigensolver, the evolution of the Fubini‐Study metric suppresses irrelevant parameter directions and reduces state distinguishability near the ground state. ABSTRACT The lack of both a consistently effective and broadly reliable classical optimizer for variational quantum ...
Dwi Cahyo Mariyanto, Hadyan L. Prihadi, Angga Dito Fauzi, L. T. Handoko, Yanoar P. Sarwono, Rui‐Qin Zhang   +5 more
wiley   +1 more source

The illusory correlation between geometrical similarity and physician satisfaction in heart auto‐segmentation revealed by a physician‐blind test

Journal of Applied Clinical Medical Physics, Volume 27, Issue 6, June 2026.
Abstract Background Auto‐segmentation tools are essential in adaptive radiation therapy (ART). While evaluation typically relies on geometric metrics like Dice similarity coefficient (DSC), high scores do not always translate to clinical acceptability.
Jae Choon Lee, Eun Jeong Heo, Song Heui Cho, Dong Yun Lee, Kyung Hwan Chang, Jang Bo Shim, Nam Kwon Lee, Suk Lee   +7 more
wiley   +1 more source