Normal T2 relaxometry values of peripheral nerves on 3.0T MRI in healthy Mexican subjects: an exploratory study by Cynthia Castro-Teran, Beatriz Elias-Perez, Arturo Hernandez-Medina

“…The T2 relaxometry values of the ulnar, median, and sciatic peripheral nerves averaged 59 to 74 ms. These values are comparable to normal reference values in other populations. …”
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Evaluation of snow storage in Western Siberia based on the land-surface model SPONSOR simulation using reanalysis data by D. V. Turkov, V. S. Sokratov, T. B. Titkova

“…These correlation coefficients between observations and results of simulations using LSM SPONSOR for SWE, and especially for the snow depth are the best of all methods. Maps with high spatial resolution for SWE, obtained by different methods, were constructed for February averaged. …”
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Kinetics of the amino acid uptake tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) in human brain by Korbinian Krieger, Thomas Pyka, Clemens Mingels, Hasan Sari, Albert Gjedde, Axel Rominger, Paul Cumming

“…We averaged the individual parametric maps to obtain estimates of the physiological uptake relatively unaffected by individual residual lesions and resections, and tested simplified single-frame methods for quantitation. …”
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Characterizing Chromospheric Condensation with High-cadence Si iv Observations from IRIS by Chunming Zhu, Willow Reed, Alysa Derks, Dana Longcope

“…This suggests that coronal reconnection and associated energy release occur in localized patches whose spatial extent maps to around 1 arcsec in the chromosphere.…”
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Channel-shuffled transformers for cross-modality person re-identification in video by Rangwan Kasantikul, Worapan Kusakunniran, Qiang Wu, Zhiyong Wang

“…We have also investigated the optimal partitioning of feature maps therein.…”
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Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer by T. Ning, G. Elgered

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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…Furthermore, a novel application of the tophat transform on score maps, combined with a dual-constraint thresholding strategy, reduces false positives and improves precision. …”
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The stressed state of the Earth’s crust in the Altai-Sayan mountain region: reconstruction based on the modified algorithms of the cataclastic method by @Rebetsky, Yuri L., Sycheva, Naylya A.

“…Distribution maps of the directions of the maximum compression axis and the geodynamic type of the stress state, as well as the value of the Lode – Nadai coefficient were constructed and compared with the results of the previously performed reconstruction. …”
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Fractal Analysis and the Diagnostic Usefulness of Silver Staining Nucleolar Organizer Regions in Prostate Adenocarcinoma by Alex Stepan, Cristiana Simionescu, Daniel Pirici, Raluca Ciurea, Claudiu Margaritescu

“…After ascertaining the pathology, we have analyzed the number, roundness, area, and fractal dimension of individual AgNORs or of their skeleton-filtered maps. We have optimized here for the first time a combination of AgNOR morphological denominators that would reflect best the differences between these pathologies. …”
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Influence of slab depth spatial variability on skier-triggering probability and avalanche size by Francis Meloche, Louis Guillet, Francis Gauthier, Alexandre Langlois, Johan Gaume

“…First, we generate multiple slab depth maps on a plane fictional slope based on Gaussian Random Fields (GRF) for a specific set of mean, variance and correlation length. …”
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An Empirical Study on Data Augmentation for Pixelwise Satellite Image Time-Series Classification and Cross-Year Adaptation by Yuan Yuan, Lei Lin, Qi Xin, Zeng-Guang Zhou, Qingshan Liu

“…Satellite image time series (SITS) are widely used for land cover mapping and vegetation monitoring. Despite the success of deep learning methods in SITS classification, their performance strongly depends on large labeled datasets. …”
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Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images by Mahdi Azmoodeh-Kalati, Hasti Shabani, Mohammad Sadegh Maghareh, Zeynab Barzegar, Reza Lashgari

“…Model interpretability is enhanced using the Grad-CAM technique, which generates localization maps highlighting critical regions relevant to predictions. …”
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A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation. by Guillaume Bonnier, Tobias Kober, Myriam Schluep, Renaud Du Pasquier, Gunnar Krueger, Reto Meuli, Cristina Granziera, Alexis Roche

“…We applied a partial volume estimation algorithm to T1 relaxometry maps to gray and white matter local concentrations as well as T1 values characteristic of gray and white matter in the thalamus and the basal ganglia. …”
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Research on image compression encoding based on fixed dictionary by Lifeng Li, Yanli Du, Yan-Hong Liu, Hua Yang

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Trends and Disparities in the Prevalence of Childhood Obesity in South Texas between 2009 and 2015 by Byron A. Foster, Trevor M. Maness, Christian A. Aquino

“…Age and race/ethnicity specific prevalence of overweight and obesity were calculated using CDC standards and trends were examined over time using regression analyses, and mapping software was used to identify geographic variation. …”
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From pixels to objects: Integrated indicators for balancing sustainable management in protected areas by Reza Peykanpour Fard, Alireza Soffianian, Mohsen Ahmadi, Saeid Pourmanafi

“…Using GIS, we compiled and mapped a comprehensive set of biological, physical, infrastructural, and socio-economic criteria. …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection by Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto

“…Finally, occlusion sensitivity and gradient-weighted class activation maps (Grad-CAM) were generated to indicate the most influential regions for the prediction of TB and to localize TB manifestations.…”
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Expanded Generalized Needlet Internal Linear Combination (eGNILC) Framework for the 21 cm Foreground Removal by Wei-Ming Dai, Yin-Zhe Ma

“…We find that the eGNILC bias is related to the averaged domain size and the dof of the foreground but not the underlying 21 cm signal. …”
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Resource allocation for hospitals (Reach): A time-driven activity-based costing study of chemotherapy regimens in a single institution by Evelyn Yi Ting Wong, Renne Phay, Gemma Diente Peralta, Sharon Keman Chee, Joanne Ngeow

“…Outpatient base costs averaged SGD$310 per visit, with additional costs driven by chemotherapy type, frequency, manpower, and adverse drug reaction management. …”
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Assessing the Impact of Calendar Events upon Urban Vehicle Behaviour and Emissions Using Telematics Data by Junjun Xiang, Omid Ghaffarpasand, Francis D. Pope

“…Geospatial and Temporal Mapping captured the dependencies of vehicle speed, acceleration, vehicle-specific power (VSP), and emission factors (EFs) for air pollutants (CO₂ and NO_x) on the studied calendar period. …”
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