Summary of type 2 errors by type of case (all cases, complex, simple), participant type (all, trainee, experienced), and p values. by Michelle Noga (3637138)

Reliability and percent differences for cortical thickness (CT). by Evelyn Medawar (9774392)

Results of CT body composition analysis in patients with pancreatic cancer (n = 117). by Ekaterina Khristenko (17847064)

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CT slice and lung segmentation / masking (animal 2). by Fabio De Marco (5797991)

Nano-CT analysis of human brain neurons. by Ryuta Mizutani (4512997)

Axial CT-scans of two different patients with a healthy BMI value of 22.1 kg/m². by Ekaterina Khristenko (17847064)

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

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

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Loss of EBNA3C-CtBP binding decreases p300 occupancy at promoters of EBNA3C induced genes. by Makoto Ohashi (104612)

Axial CT-scans of patient with pancreatic ductal adenocarcinoma, performed at the L3 vertebral body level. by Ekaterina Khristenko (17847064)

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Comparison of cortical thickness (CT) results from gradunwarp-corrected data. by Evelyn Medawar (9774392)

AUC statistics comparing statistical trends in control and test populations. by Madeline Jarvis-Cross (22394247)

“…<p>To evaluate statistical trends, we calculated Kendall’s rank correlation coefficient during the pre-critical interval (here, days one to sixty), and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger trends. …”

S1 File - by Naomasa Okimoto (18784343)

“…In addition to the CT value of ≥27.7 HU, PMCT findings of solid-natured gastrointestinal content and intra/peri-content bubbles ≥4 mm, extracted from the derivation set, increased the specificity for UGIB (96.5% and 98.8%, respectively) but decreased the sensitivity (61.5% and 38.5%, respectively) in the validation set. …”

Changes in the performance of the elastic-net regularized model in the classification of COVID-19 patients, expressed as AUC, given different values of α and λ parameters. by Bartek Rajwa (127236)

Test and re-test Ct values vary over time but remain highly correlated, except for January. by Jennifer K. Frediani (8366139)

“…<p>A) The mean Ct values were highest in December 2020 and then decreased over the next 8 months before rising again in September 2021. …”

Bland Altman analysis assessing inter-modality variability between PET/CT and PET/MR acquisitions. by Edward M. Lawrence (3146364)

Spectrum of singular values of the normal matrix . by Stefano van Gogh (13569844)

Ct values and gene copies measured for each pathogen during field work, alongside national surveillance data; pH and NH3-N characterisation. by Jay C. Bullen (10232606)

Top 10 important features with mean decrease in Gini index (A) and distribution of minimal depth (B). by Hyun Kyung Lim (9547300)

Sarcopenia rates at various BMI values in patients with pancreatic cancer. by Ekaterina Khristenko (17847064)

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