Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]
Ahmad Z +11 more
europepmc +1 more source
DEEP‐DISORDER: Motion Correction in 3D MRI via Segment Reconstruction and Registration
This work presents a retrospective motion correction framework for 3D MRI. A motion‐corrupted acquisition is split into tiny k‐space segments, and for each a neural network reconstructs a rough anatomical image. These reconstructions are aligned using groupwise registration, yielding one set of estimated motion parameters per segment.
Laurens Beljaards +7 more
wiley +1 more source
Shortening 7T MP2RAGE acquisition with compressed sensing: Evaluating quantitative accuracy and structural consistency. [PDF]
Kida I.
europepmc +1 more source
Geography of race and income shape spatial data gaps in two national participatory science projects
Abstract Context and Need: Participatory projects where people contribute geo‐referenced biodiversity data, like eBird and iNaturalist, are commonly used tools to enhance the data collection capacity for research, management, and environmental learning. Despite their utility, demographic disparities in participation, demographic patterns of residential
Deja Perkins +3 more
wiley +1 more source
The power of machine learning models in predicting gestational diabetes mellitus. [PDF]
Mehrnoush V +6 more
europepmc +1 more source
Five decades of hand‐feel soil texture estimation: Accuracy, challenges, and improvements
Abstract Soil texture refers to the proportion of fine soil particles with diameters less than 2 mm, classified into particle size categories that define the soil texture class. Hand‐feel estimation in the field is widely used by soil scientists and technicians during pedological surveys to characterize soil horizons.
Roberto Barbetti +4 more
wiley +1 more source
Abstract Tropospheric Emissions: Monitoring of Pollution (TEMPO) provides valuable hourly measurements of airborne pollutants over North America. Data quality over snowy surfaces may degrade due to difficulty in accurately characterizing surface reflectivity and cloud properties, as snow and cloud are both highly reflective and therefore challenging to
Lukas Fehr +8 more
wiley +1 more source
Myelin water imaging from accelerated 3D-GRASE acquisitions using subspace constrained reconstruction. [PDF]
Byanju R +4 more
europepmc +1 more source
Abstract The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high‐frequency, geostationary observations of column NO2 across most of North America. In this study, we present the first implementation of a TEMPO NO2 data assimilation system using the Joint ...
Maryam Abdi‐Oskouei +36 more
wiley +1 more source
Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning-Based Analysis. [PDF]
Oliveira FMGSA, Cavalcanti SM, Khoo MCK.
europepmc +1 more source

