Auscultation locations for the CirCor DigiScope dataset [6], which was used for the Challenge: Pulmonary valve (PV), aortic valve (AV), mitral valve (MV), and tricuspid valve (TV). by Matthew A. Reyna (16965038)

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Traditional evaluation metric (<i>x</i>-axis) and cost metric (<i>y</i>-axis) scores for the final Challenge entries with the clinical outcome identification task on the hidden tes... by Matthew A. Reyna (16965038)

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Traditional evaluation metric (<i>x</i>-axis) and weighted accuracy metric (<i>y</i>-axis) scores for the final Challenge entries with the murmur detection task on the hidden test... by Matthew A. Reyna (16965038)

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Confusion matrix <i>N</i> for clinical outcome detection with two classes: Clinical outcome abnormal and clinical outcome normal. by Matthew A. Reyna (16965038)

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Screening and diagnosis pipeline for the Challenge. by Matthew A. Reyna (16965038)

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Confusion matrix <i>M</i> for murmur detection with three classes: Murmur present, murmur unknown, and murmur absent. by Matthew A. Reyna (16965038)

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Scores of the officially ranked methods on the test set for the murmur detection task. by Matthew A. Reyna (16965038)

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The expert screening cost <i>g</i>_expert(<i>x</i>) defined for the Challenge: Mean cost for screening a fraction <i>x</i> of a patient cohort for cardiac abnormalities. by Matthew A. Reyna (16965038)

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Comparison between simulations for all algorithms (success rate <i>versus</i> number of swarm particles). by Rutinaldo Aguiar Nascimento (14259594)

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Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. by María Victoria Waks-Serra (21578611)

Fraction of stripes considered as a function of aspect ratio cut-off value for individual stripe measurements. by Pratik Mullick (12851011)

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Overall concept and specific components for developing the cloud based solution. by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Cycle GAN approach for performing style transfer between healthy and pathological coronary angiography images slices. by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Sample envisaged detection of the distal point (white circle) for a right coronary artery image. by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Approach for artificial intelligence based virtual post-percutaneous coronary intervention fractional flow reserve (FFR) computation. by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Fig 1 - by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Graphic processing unit instance orchestration on the cloud. by Vlad Ploscaru (13767257)

Subjects: “…artificial intelligence algorithms…”

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Main parameters of braking system. by Honglei Pang (22693724)

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