Image 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.tiff by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Table 4_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Table 5_Relations between neurometabolism and clinical biomarkers in patients with metabolic disease.xlsx by Chao-Chao Chen (21090215)

“…In this study, we analyzed PET-CT images and clinical biomarkers from 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, and 14 cases of gout. …”

Trend analysis of the ν_s – RHOB in the range of data found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

Supplementary file 1_The role of micro-CT in breast cancer management: a systematic review on the clinical applications of micro-CT in breast cancer and a diagnostic accuracy meta-... by Seyed Mostafa Meshkati Yazd (15198320)

“…Micro-computed tomography (micro-CT) has already exhibited clinical value, yielding high-resolution three-dimensional (3D) volumetric images. …”

Data Sheet 1_Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation.docx by Xianzhi Deng (20548430)

“…In this study, we proposed a deep learning model with enhanced interpretability based on attention and vegetation indices calculation for global spectral feature mining to accurately estimate photosynthetic capacity. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

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Table 1_Impact of different 3D regions of interest on quantifying dynamic lumbar vertebral microstructure in ovariectomized rats—a micro-CT study.doc by Huihui Xu (778437)

“…However, whether different ROIs directly affect the results of quantitative micro-CT-based microarchitectural data is still unknown. …”

ROC curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Loss curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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ICH recognition outcome of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Average of HPDL-MIAIHD methodology on 70:30 of TRAP/TESP. by Naif Almakayeel (16846021)

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ICH recognition outcome of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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curve of HPDL-MIAIHD methodology on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

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Average of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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PR curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Effect of class imbalance on predictive performance. by Thierry Jean (20691795)

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S1 File - by Chantelle M. de Vet (16535257)

“…</p><p>Conclusions</p><p>A clear learning effect was observed by the significant decrease in variability of the difference in the score between the expert and trainees over time. …”

Analysis of correlation of RV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)