Publications citing Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022 v1.0.0

Prediction of Left Ventricle Pressure Indices Via a Machine Learning Approach Combining ECG, Pulse Oximetry, and Cardiac Sounds: a Preclinical Feasibility Study
Lorenzo Fassina, Francesco Paolo Lo Muzio, Leonhard Berboth et al. Journal of Cardiovascular Translational Research, 2024. Cites: paper

Age-Based Heart Sound Segmentation for Accessible Pediatric Cardiovascular Disease Screening
Ethan Grooby, Yang Yi Poh, Faezeh Marzbanrad. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Exploring Pre-trained General-purpose Audio Representations for Heart Murmur Detection
Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era
Zhao Xu Ren, Yi Chang, Thành Tâm Nguyên et al. IEEE Computational Intelligence Magazine, 2024. Cites: paper

Hybrid Whale Optimisation with Improved Pooling Based Recurrent Neural Network to Predict the Heart Murmur at Earlier Stage
Hemalatha M, Zayaraz Godandapani. International Journal of Electronics and Communication Engineering, 2024. Cites: paper

Murmur identification and outcome prediction in phonocardiograms using deep features based on Stockwell transform
Omid Dehghan Manshadi, Sara Mihandoost. Scientific Reports, 2024. Cites: paper

Multiple instance learning framework can facilitate explainability in murmur detection
Maurice Rohr, Benedikt Müller, Sebastian Dill et al. PLOS Digital Health, 2024. Cites: paper

Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms
Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan Habib Khandoker. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Artificial intelligence for heart sound classification: A review
Junxin Chen, Zhihuan Guo, Xu Xu et al. Expert Systems, 2024. Cites: paper

A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods
Motaz Faroq A. Ben Hamza, Nilam Nur Amir Sjarif. IEEE Access, 2024. Cites: paper

Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou. IEEE Access, 2024. Cites: paper

Benefits of Volunteering: Being IEEE EMBS Student Mentoring Program Ambassadors
Nyi Nyi Tun, Antony Gitau, Tony Adel Fawzy. IEEE Pulse, 2023. Cites: paper

Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease
John Prince, John Maidens, Spencer Kieu et al. Journal of the American Heart Association, 2023. Cites: paper

MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning
Soyul Han, Woongsun Jeon, Wuming Gong et al. Biology, 2023. Cites: paper

Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way
Miguel L. Martins, Miguel Tavares Coimbra, Francesco Renna. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
Zhenge Jia, Dawei Li, Cong Liu et al. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023. Cites: paper

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram
Andoni Elola, Elisabete Aramendi, Jorge Oliveira et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Ziyu Liu, Azadeh Alavi, Minyi Li et al. Sensors, 2023. Cites: paper

Applications of Self-Supervised Learning to Biomedical Signals: where are we now
Federico Del Pup, Manfredo Atzori. 2023. Cites: paper

Applications of Self-Supervised Learning to Biomedical Signals: A Survey
Federico Del Pup, Manfredo Atzori. IEEE Access, 2023. Cites: paper

An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning
Yunendah Nur Fuadah, Muhammad Adnan Pramudito, Ki Moo Lim. Bioengineering, 2022. Cites: paper

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