AIMC Topic: Reproducibility of Results

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Training and Validating a Deep Convolutional Neural Network for Computer-Aided Detection and Classification of Abnormalities on Frontal Chest Radiographs.

Investigative radiology
OBJECTIVES: Convolutional neural networks (CNNs) are a subtype of artificial neural network that have shown strong performance in computer vision tasks including image classification. To date, there has been limited application of CNNs to chest radio...

Sequence-based predictive modeling to identify cancerlectins.

Oncotarget
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species. They can specially identify and exclusively bind to a certain kind of saccharide groups. Cancerlectins are a group of lecti...

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...

Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

Journal of digital imaging
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptiv...

Protein subcellular localization prediction using multiple kernel learning based support vector machine.

Molecular bioSystems
Predicting the subcellular locations of proteins can provide useful hints that reveal their functions, increase our understanding of the mechanisms of some diseases, and finally aid in the development of novel drugs. As the number of newly discovered...

DEVELOPMENT AND VALIDATION OF FAST REVERSED-PHASE HPLC METHOD FOR ANALYSIS OF ESOMEPRAZOLE IN RABBIT PLASMA.

Acta poloniae pharmaceutica
The present study focused to develop rapid, accurate and sensitive reversed-phase high pressure liquid chromatography method for the quantification of esomeprazole (ESO) magnesium in rabbit plasma. Chromatographic separation was achieved isocraticall...

REVERSE PHASE HIGH PERFORMANCE LIQUID CHROMATOGRAPHY METHOD FOR DETERMINATION OF 5-FLUOROURACIL IN RABBIT PLASMA.

Acta poloniae pharmaceutica
A simple, efficient, accurate and selective HPLC method has been developed and validated successfully for the estimation of 5-fluorouracil in rabbit plasma. The drug was eluted by using Supelco C18 column (1.5 cm x 4.6 mm, 5 μm) with a mobile phase c...

Predicting the perception of performed dynamics in music audio with ensemble learning.

The Journal of the Acoustical Society of America
By varying the dynamics in a musical performance, the musician can convey structure and different expressions. Spectral properties of most musical instruments change in a complex way with the performed dynamics, but dedicated audio features for model...