AIMC Topic: Reproducibility of Results

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Automated selection of brain regions for real-time fMRI brain-computer interfaces.

Journal of neural engineering
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site exp...

Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.

Computational and mathematical methods in medicine
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images. Real Coded Genetic Algorithm (RCGA) is proposed to overcome the ...

Introducing a Stable Bootstrap Validation Framework for Reliable Genomic Signature Extraction.

IEEE/ACM transactions on computational biology and bioinformatics
The application of machine learning methods for the identification of candidate genes responsible for phenotypes of interest, such as cancer, is a major challenge in the field of bioinformatics. These lists of genes are often called genomic signature...

MoSe Nanolabels for Electrochemical Immunoassays.

Analytical chemistry
There is huge interest in biosensors as a result of the demand for personalized medicine. In biomolecular detection, transition-metal dichalcogenides (TMDs) can be used as signal-enhancing elements. Herein, we utilize a solution-based electrochemical...

Dosimetric Implications of Residual Tracking Errors During Robotic SBRT of Liver Metastases.

International journal of radiation oncology, biology, physics
PURPOSE: Although the metric precision of robotic stereotactic body radiation therapy in the presence of breathing motion is widely known, we investigated the dosimetric implications of breathing phase-related residual tracking errors.

Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy.

International journal of radiation oncology, biology, physics
PURPOSE: This work presents the application of a machine learning (ML) algorithm to automatically generate high-quality, prostate low-dose-rate (LDR) brachytherapy treatment plans. The ML algorithm can mimic characteristics of preoperative treatment ...

Automated quantification of three-dimensional organization of fiber-like structures in biological tissues.

Biomaterials
Fiber-like structures are prevalent in biological tissues, yet quantitative approaches to assess their three-dimensional (3D) organization are lacking. We develop 3D directional variance, as a quantitative biomarker of truly 3D fibrillar organization...

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification.

IEEE transactions on bio-medical engineering
The standard chronic wound assessment method based on visual examination is potentially inaccurate and also represents a significant clinical workload. Hence, computer-based systems providing quantitative wound assessment may be valuable for accurate...

Development and validation of a LC-MS/MS assay for quantification of cisplatin in rat plasma and urine.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Till date, no analytical method published to detect Cisplatin has been validated according to the U.S. Food and Drug Administration (FDA) guidance using liquid chromatography mass spectrometry (LC-MS/MS). We report, a validated LC-MS/MS method for qu...

MIL-101(Cr) as matrix for sensitive detection of quercetin by matrix-assisted laser desorption/ionization mass spectrometry.

Talanta
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) has been proven as a useful and advanced technique in the identification of polymers and proteins. However, MALDI-TOF-MS still has the unavoidable drawback of...