Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

WISpR spatial deconvolution workflow overview. حسب Nuray Sogunmez Erdogan (21533872)

الموضوعات:

Overcoming limitations in sparse cell-type predictions for a biologically reliable task. حسب Nuray Sogunmez Erdogan (21533872)

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Precise spatial delineation of brain cell types in adult mouse brain. حسب Nuray Sogunmez Erdogan (21533872)

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Spatial characterization of cancer-associated cell types in human breast cancer malignancies. حسب Nuray Sogunmez Erdogan (21533872)

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Overview of the comparative analysis of deconvolution model performances using synthetic spatial data in four different scenarios and six different mixture percentages. حسب Nuray Sogunmez Erdogan (21533872)

الموضوعات:

Evaluating Burnt area classification on sparse burnt regions with minimal PlanetScope (3m) burnt area labels. حسب Sai Balakavi (21728626)

Deconvolution challenges due to coherence and heterogeneity. حسب Nuray Sogunmez Erdogan (21533872)

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Predictive performance evaluation on real heart data with selected cell types. حسب Nuray Sogunmez Erdogan (21533872)

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Cellular heterogeneities between mouse brain cell subtypes. حسب Nuray Sogunmez Erdogan (21533872)

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Localized differences between major mouse brain cell types. حسب Nuray Sogunmez Erdogan (21533872)

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Generated blended data using mouse brain cells and human embryonic heart cells, labeled as <i>Mix</i>[<i>a</i>,<i>b</i>,<i>c</i>], indicates the proportion of mouse brain cells fou... حسب Nuray Sogunmez Erdogan (21533872)

الموضوعات:

Spatial power spectrum of compact sound source. حسب Chuanxi Xing (20141665)

Lung projection rendering in four 360°-clockwise-rotated (visualized every 90° of rotation) views from a patient in a test set. حسب Di Xu (1443394)

OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification حسب Jianwen Deng (19780538)

Efficient Deep Learning Methods for Medical Image Analysis حسب Yaopeng Peng (19778394)

"…Consequently, the limited availability of annotated data for training deep learning models often results in overfitting and suboptimal generalization to new data. …"

<b>Research on Semantic Segmentation of PCB Point Clouds Based on Adaptive Dynamic Graph Convolution</b> حسب zedong huang (22221292)

Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014 حسب Karin L. Riley (19657882)

"…A set of predictor variables was used to train the random forests algorithm, which was then leveraged to extrapolate measurements across forested areas of the conterminous United States. …"

TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016 حسب Karin L. Riley (19657882)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

TreeMap 2020 CONUS: A tree-level model of the forests of the conterminous United States circa 2020 حسب Scott N. Zimmer (20807459)

"…We used a Random Forest machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE) and Daymet (Daymet). …"