Results 251 to 260 of about 176,906 (321)

Development of an Open‐Source Algorithm for Automated Segmentation in Clinician‐Led Paranasal Sinus Radiologic Research

open access: yesThe Laryngoscope, EarlyView.
The purpose of this study was to validate and provide an open‐source segmentation algorithm of paranasal sinus CT scans for the otolaryngology research community. This can be used for further AI‐based analysis and radiomic analysis in future research. ABSTRACT Objective Artificial Intelligence (AI) research needs to be clinician led; however, expertise
Rhea Darbari Kaul   +12 more
wiley   +1 more source

Fine-Grained Semantics-Enhanced Graph Neural Network Model for Person-Job Fit. [PDF]

open access: yesEntropy (Basel)
Xue X   +9 more
europepmc   +1 more source

Mapping Skid Trails and Evaluating Soil Disturbance From UAV‐Based LiDAR Surveys in Mediterranean Forests

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Soil disturbance resulting from forest harvesting activities can have significant and lasting environmental consequences, particularly in sensitive ecosystems such as Mediterranean forests. Skid trails, the routes used by machinery to extract timber, are among the most critical areas of impact, and their detection is critical for assessing ...
Francesco Latterini   +9 more
wiley   +1 more source

Machine learning approach to study microboring assemblage dynamics in two living massive coral genera

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract The coral host comprises various microorganisms including those living in its skeleton. In coral skeletons, bioeroding microflora (cyanobacteria, algae, and fungi), which play an important role in reefs and coral resilience, produce specific traces (microborings) by actively dissolving the carbonate.
Diego Alaguarda   +3 more
wiley   +1 more source

Digital Therapeutics for Alzheimer's and Parkinson's Diseases: Current Trends and Future Perspectives

open access: yesMedicinal Research Reviews, EarlyView.
ABSTRACT Alzheimer's disease (AD) and Parkinson's disease (PD), which are characterized by the accumulation of misfolded protein aggregates and cognitive/motor dysfunction, are the most prevalent neurodegenerative diseases (NDDs). Despite strategic investigations aimed at augmenting the pharmaceutical pipeline, available drugs for AD and PD merely slow
Yoo Joo Jeong   +12 more
wiley   +1 more source

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