Publications citing Classification of Heart Sound Recordings: The PhysioNet/Computing in Cardiology Challenge 2016 v1.0.0

Cycle Selection and Neuro:Voting System for Classifying Heart Sound Recordings
Mostafa Abdollahpur, Shadi Ghiasi, Mohammad Javad Mollakazemi et al. Computing in cardiology, 2016. Cites: paper

Discrimination of Normal and Abnormal Heart Sounds Using Probability Assessment
Filip Plešinger, Juraj Jurco, Josef Halámek et al. Computing in cardiology, 2016. Cites: paper

DropConnected Neural Network Trained with Diverse Features for Classifying Heart Sounds
Edmund Kay, Anurag Agarwal. Computing in cardiology, 2016. Cites: paper

Ensemble of Feature:based and Deep learning:based Classifiers for Detection of Abnormal Heart Sounds
Cristhian Potes, Saman Parvaneh, Asif Rahman et al. Computing in cardiology, 2016. Cites: paper

Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation
Morteza Zabihi, Ali Bahrami Rad, Serkan Kiranyaz B et al. Computing in cardiology, 2016. Cites: paper

Heart Sound Classification Based on Temporal Alignment Techniques
Jose Javier Gonzalez Ortiz, Cheng Perng Phoo, Jenna Wiens. Computing in cardiology, 2016. Cites: paper

Heart Sound Classification from Wavelet Decomposed Signal Using Morphological and Statistical Features
Tamanna T. K. Munia, Kouhyar Tavakolian, Ajay Kumar Verma et al. Computing in cardiology, 2016. Cites: paper

Heart Sound Classification Using Deep Structured Features
Michael Tschannen, Thomas Kramer, Gian Marti et al. Computing in cardiology, 2016. Cites: paper

Heart Sound Classification via Sparse Coding
Bradley M. Whitaker, David V. Anderson. Computing in cardiology, 2016. Cites: paper

Identification of Abnormal Heart Sounds
Sasan Yazdani, Silas Schlatter, Seyyed Abbas Atyabi et al. Computing in cardiology, 2016. Cites: paper

Improving Classification Accuracy of Heart Sound Recordings by Wavelet Filter and Multiple Features
Xinpei Wang, Yuanyang Li. Computing in cardiology, 2016. Cites: paper

Machine Learning Based Identification of Pathological Heart Sounds
Tanmay Gokhale. Computing in cardiology, 2016. Cites: paper

Morphological Determination of Pathological PCG signals by Time and Frequency Domain Analysis
Márton Áron Goda, Péter Hajas. Computing in cardiology, 2016. Cites: paper

Nonnegative Matrix Factorization and Random Forest for Classification of Heart Sound Recordings in the Spectral Domain
Christoph Hoog Antink, Julian Becker, Steffen K. Leonhardt et al. Computing in cardiology, 2016. Cites: paper

Normal / Abnormal Heart Sound Recordings Classification Using Convolutional Neural Network
Tanachat Nilanon, Sanjay Purushotham, Yan Liu. Computing in cardiology, 2016. Cites: paper

PCG Classification Using a Neural Network Approach
Iga Grzegorczyk, Mateusz Soliński, Michał Łepek et al. Computing in cardiology, 2016. Cites: paper

Power Spectrum Analysis for Classification of Heart Sound Recording
Soo Kng Teo, Bo Yang, Ling Feng et al. Computing in cardiology, 2016. Cites: paper

Recognition of Abnormalities in Phonocardiograms for Computer:Assisted Diagnosis of Heart Failures
Simon Hofmann, Volker Groß, Andreas Dominik. Computing in cardiology, 2016. Cites: paper

Time and Frequency :Based Approach to Heart Sound Segmentation and Classification
Jarno Makela, Heikki Väänänen. Computing in cardiology, 2016. Cites: paper

Time:Frequency Analysis of Phonocardiogram for Classifying Heart Disease
Rohan Banerjee, Swagata Biswàs, Snehasis Banerjee et al. Computing in cardiology, 2016. Cites: paper

Using Deep Gated RNN with a Convolutional Front End for End:to:End Classification of Heart Sound
Christian Thomae, Andreas Dominik. Computing in cardiology, 2016. Cites: paper

Using Spectral Acoustic Features to Identify Abnormal Heart Sounds
Nicholas Singh-Miller, Natasha Singh-Miller. Computing in cardiology, 2016. Cites: paper

Frequency of Giardia lamblia infection in children with recurrent abdominal pain.
Mohammad Younas, Saminullah Shah, Azmat Talaat. PubMed, 2008. Cites: paper

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