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Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data
ObjectivesEvaluate the performance of a deep learning (DL)–based model for multiple sclerosis (MS) lesion segmentation and compare it to other DL and...
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Robustness of apparent diffusion coefficient–based lymph node classification for diagnosis of prostate cancer metastasis
ObjectivesThe aim of this proof-of-principle study combining data analysis and computer simulation was to evaluate the robustness of apparent...
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Robustness analysis of surface-guided DIBH left breast radiotherapy: personalized dosimetric effect of real intrafractional motion within the beam gating thresholds
PurposeThe robustness of surface-guided (SG) deep-inspiration breath-hold (DIBH) radiotherapy (RT) for left breast cancer was evaluated by...
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Using Vision Transformer for high robustness and generalization in predicting EGFR mutation status in lung adenocarcinoma
BackgroundLung adenocarcinoma is a common cause of cancer-related deaths worldwide, and accurate EGFR genotyping is crucial for optimal treatment...
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Robustness of Significant Dichotomous Outcomes in Randomized Controlled Trials in the Treatment of Patients with COVID-19: A Systematic Analysis
PurposeSignificant results of randomized controlled trials (RCTs) should be properly weighed. This study adopted fragility index (FI) to evaluate the...
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On the role of deep learning model complexity in adversarial robustness for medical images
BackgroundDeep learning (DL) models are highly vulnerable to adversarial attacks for medical image classification. An adversary could modify the...
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Algorithm-assisted diagnosis of Hirschsprung’s disease – evaluation of robustness and comparative image analysis on data from various labs and slide scanners
BackgroundDifferences in the preparation, staining and scanning of digital pathology slides create significant pre-analytic variability....
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SDG indicator 3.b.3 – an analysis of its robustness and challenges for measuring access to medicines for children
BackgroundSustainable Development Goal (SDG) indicator 3.b.3 monitors progress in medicines’ accessibility for adults and has significant limitations...
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Comparison of dosimetric parameters and robustness for rotational errors in fractionated stereotactic irradiation using automated noncoplanar volumetric modulated arc therapy for patients with brain metastases: single- versus multi-isocentric technique
To compare the dosimetric parameters of automated noncoplanar volumetric modulated arc therapy plans using single-isocentric (SIC) and...
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Robustness of dual-energy CT-derived radiomic features across three different scanner types
ObjectivesTo investigate the robustness of radiomic features between three dual-energy CT (DECT) systems.
MethodsAn anthropomorphic body phantom...
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Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methods
PurposeTo evaluate robustness of a radiomics-based support vector machine (SVM) model for detection of visually occult PDA on pre-diagnostic CTs by...
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Assessing the Robustness of Mediation Analysis Results Using Multiverse Analysis
There is an increasing awareness that replication should become common practice in empirical studies. However, study results might fail to replicate...
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Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels
This study aims to investigate the influence of adaptive statistical iterative reconstruction-V (ASIR-V) and deep learning image reconstruction...
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Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability
ObjectivesTo evaluate robustness of dual-energy CT (DECT) radiomics features of virtual unenhanced (VUE) image and virtual monoenergetic image (VMI)...
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Robustness analysis for quantitative assessment of vaccination effects and SARS-CoV-2 lineages in Italy
BackgroundIn Italy, the beginning of 2021 was characterized by the emergence of new variants of SARS-CoV-2 and by the availability of effective...
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Robustness of cancer microbiome signals over a broad range of methodological variation
In 2020, we identified cancer-specific microbial signals in The Cancer Genome Atlas (TCGA) [
1 ]. Multiple peer-reviewed papers independently verified...
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Robustness of pulmonary nodule radiomic features on computed tomography as a function of varying radiation dose levels—a multi-dose in vivo patient study
ObjectiveAnalysis of textural features of pulmonary nodules in chest CT, also known as radiomics, has several potential clinical applications, such...
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A Retrospective, Longitudinal External Study of the robustness and reproducibility of National Antibacterial Prescribing Survey Data
BackgroundPoint prevalence surveys are used internationally to audit antibacterial use as well as the impact of interventions on improving...
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Long-term participation in community-based group resistance exercises delays the transition from robustness to frailty in older adults: a retrospective cohort study
BackgroundHow community-based group resistance exercises affect the transition from robustness to frailty remains unclear. Thus, we conducted a...
