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Article
Open AccessBlockchain for Data Originality in Pharma Manufacturing
This paper analyses the feasibility of tracking data originality for pharmaceutical manufacturing in a tamper-proof manner using a geographically distributed system. The main research question is whether it is...
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Article
Open AccessMGMT methylation may benefit overall survival in patients with moderately vascularized glioblastomas
To assess the combined role of tumor vascularity, estimated from perfusion MRI, and MGMT methylation status on overall survival (OS) in patients with glioblastoma.
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Article
Non-local spatially varying finite mixture models for image segmentation
In this work, we propose a new Bayesian model for unsupervised image segmentation based on a combination of the spatially varying finite mixture models (SVFMMs) and the non-local means (NLM) framework. The pro...
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Article
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in th...
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Article
Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra
This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing ...
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Article
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis
We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HealthAgents project. HealthAgents is a European Union funded research project, whic...
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Article
Open AccessMultiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy
Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are ...
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Article
Benign /malignant classifier of soft tissue tumors using MR imaging
This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: ...