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largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values increased » cases increased (Expand Search), dalys increased (Expand Search), also increased (Expand Search)
c largest » _ largest (Expand Search), c large (Expand Search)
ct values » _ values (Expand Search), i values (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values increased » cases increased (Expand Search), dalys increased (Expand Search), also increased (Expand Search)
c largest » _ largest (Expand Search), c large (Expand Search)
ct values » _ values (Expand Search), i values (Expand Search)
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Data Sheet 1_Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging.pdf
Published 2025“…</p>Results<p>Application of this method to brain lesion segmentation in CT imaging highlights a Fisher's ratio threshold value of 0.05, and training validation of a new model without these images confirms this with similar results with only 60% of the training data, resulting in an almost 30% reduction in initial training time. …”
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Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx
Published 2025“…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV<sub>mean</sub> in patients with obesity, 3.6 ± 0.1; SUV<sub>mean</sub> in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”
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Data Sheet 1_Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer.csv
Published 2025“…The mean SSIM value was 0.763 ± 0.040 for CBCT-CT matches, 0.840 ± 0.026 with U-Net and 0.851 ± 0.026 with ResU-Net, with a significant increase in both models (p < 0.05). …”
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Image 1_Synthetic CT generation from CBCT using deep learning for adaptive radiotherapy in prostate cancer.tiff
Published 2025“…The mean SSIM value was 0.763 ± 0.040 for CBCT-CT matches, 0.840 ± 0.026 with U-Net and 0.851 ± 0.026 with ResU-Net, with a significant increase in both models (p < 0.05). …”
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Cut-off values.
Published 2024“…Based on chest computed tomography (CT) findings we then defined patients with T4 (MI) and pectoralis (PMI) muscle indexes, L1 attenuation, and T4MI, PMI, and L1 attenuation below the cutoff values as having sarcopenia, osteoporosis, and osteosarcopenia, respectively.…”
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Data Sheet 1_Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study.pdf
Published 2025“…Objective<p>Grey-to-white matter ratio (GWR) is an early and sensitive indicator of cerebral oedema in patients with hypoxic-ischaemic brain injury, we aimed to evaluate the prognostic value of GWR for predicting neurological outcome in heat stroke patients.…”
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Data Sheet 2_Grey-to-white matter ratio on computed tomography for predicting neurological outcome in patients with heat stroke: a retrospective cohort study.pdf
Published 2025“…Objective<p>Grey-to-white matter ratio (GWR) is an early and sensitive indicator of cerebral oedema in patients with hypoxic-ischaemic brain injury, we aimed to evaluate the prognostic value of GWR for predicting neurological outcome in heat stroke patients.…”
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Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx
Published 2025“…The outcome indicator was based on a comparison of pulmonary CT findings before and after the two-month intensive phase of anti-TB treatment. …”
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TITAN thresholds and percentile estimates for benthic macroinvertebrate and diatom communities deemed to be sensitive decreasers or tolerant increasers. The thresholds represent the largest fsum <i>z</i> value in the main data analysis run (i.e., the median), whereas the 5<sup>th</sup> and 95<sup>th</sup> percentile change points are determined from 500 bootstrap replicate runs. Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm<sup>-1</sup>), total nitrogen (TN; μg L<sup>-1</sup>), and total phosphorus (TP; μg L<sup>-1</sup>)....
Published 2025“…Sensitive taxa change points derived from decreaser sum <i>z</i>- relative to increasing impervious cover (I.C.; %), specific conductivity (SpCond; μS cm<sup>-1</sup>), total nitrogen (TN; μg L<sup>-1</sup>), and total phosphorus (TP; μg L<sup>-1</sup>). …”
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