AIMC Topic: Reproducibility of Results

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The impact of precise robotic lesion length measurement on stent length selection: ramifications for stent savings.

Cardiovascular revascularization medicine : including molecular interventions
BACKGROUND/PURPOSE: Coronary stent deployment outcomes can be negatively impacted by inaccurate lesion measurement and inappropriate stent length selection (SLS). We compared visual estimate of these parameters to those provided by the CorPath 200® R...

Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Medical image analysis
Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images ...

Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors.

Medical image analysis
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more ac...

Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

Computer methods and programs in biomedicine
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast canc...

A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network.

Artificial intelligence in medicine
OBJECTIVES: In this paper, an alignment-free method for DNA barcode classification that is based on both a spectral representation and a neural gas network for unsupervised clustering is proposed.

Is a robotic system really better than the three-dimensional laparoscopic system in terms of suturing performance?: comparison among operators with different levels of experience.

Surgical endoscopy
BACKGROUND: High-quality three-dimensional (3D) vision systems are now available for laparoscopic surgery and may improve surgical performance relative to two-dimensional (2D) laparoscopy. It is unclear whether 3D laparoscopy is superior to 3D roboti...

NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records.

International journal of medical informatics
BACKGROUND: In order to proactively manage congestive heart failure (CHF) patients, an effective CHF case finding algorithm is required to process both structured and unstructured electronic medical records (EMR) to allow complementary and cost-effic...

A novel method based on physicochemical properties of amino acids and one class classification algorithm for disease gene identification.

Journal of biomedical informatics
Identifying the genes that cause disease is one of the most challenging issues to establish the diagnosis and treatment quickly. Several interesting methods have been introduced for disease gene identification for a decade. In general, the main diffe...

On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.

Journal of biomedical informatics
The advances achieved in Natural Language Processing make it possible to automatically mine information from electronically created documents. Many Natural Language Processing methods that extract information from texts make use of annotated corpora,...

Benefit of Retraining pKa Models Studied Using Internally Measured Data.

Journal of chemical information and modeling
The ionization state of drugs influences many pharmaceutical properties such as their solubility, permeability, and biological activity. It is therefore important to understand the structure property relationship for the acid-base dissociation consta...