Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin +5 more
wiley +1 more source
Energy Markets Forecasting. From Inferential Statistics to Machine Learning: The German Case [PDF]
, 2021 Emma Viviani +2 more
openalex +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye +16 more
wiley +1 more source
Spatial Statistics & Machine Learning.
Proposed for presentation at the Sandia Machine Learning/Deep Learning Workshop held July 25-28, 2022 in ,, 2022 Lyndsay Shand
semanticscholar +1 more source
Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley +5 more
wiley +1 more source
TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization. [PDF]
NAR Genom Bioinform, 2023 Cao X +8 more
europepmc +1 more source
Machine Learning: Deepest Learning as Statistical Data Assimilation Problems
Neural Computation, 2018 We formulate an equivalence between machine learning and the formulation of statistical data assimilation as used widely in physical and biological sciences. The correspondence is that layer number in a feedforward artificial network setting is the analog of time in the data assimilation setting.
Paul J. Rozdeba +2 more
openaire +4 more sources
EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke +12 more
wiley +1 more source
Use of Machine Learning to Estimate Statistics of the Posterior Distribution in Probabilistic Inverse Problems—An Application to Airborne EM Data [PDF]
, 2022 Thomas Mejer Hansen +1 more
openalex +1 more source
Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib
ACR Open Rheumatology, EarlyView.Objective Patients with rheumatoid arthritis (RA) often fail to respond to therapies, including JAK inhibitors (JAKi), and treatment allocation is made via a trial‐and‐error strategy. A comprehensive analysis of responses to JAKi, including tofacitinib, by RNA sequencing (RNAseq) would allow the discovery of transcriptomic markers with a two‐fold ...
Chiara Bellocchi +11 more
wiley +1 more source