Publications citing The CirCor DigiScope Phonocardiogram Dataset v1.0.3

Maiby's Algorithm: A Two-stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease
Matheus Araujo, Dewen Zeng, João Palotti et al. Computing in cardiology, 2022. Cites: paper

Modified Variable Kernel Length ResNets for Heart Murmur Detection and Clinical Outcome Prediction Using Phonocardiogram Recordings
Vijay Vignesh Venkataramani, Akshit Garg, U. Deva Priyakumar. Computing in cardiology, 2022. Cites: paper

Multitask and Transfer Learning for Cardiac Abnormality Detection in Heart Sounds
João L. Costa, Rui André Rodrigues, Paula Couto. Computing in cardiology, 2022. Cites: paper

Multi-Task Prediction of Murmur and Outcome from Heart Sound Recordings
Yale Chang, Luoluo Liu, Corneliu Antonescu". Computing in cardiology, 2022. Cites: paper

Murmur Classification with U-net State Prediction
Sanghoon Choi, Hyo-Chang Seo, Kyung-Min Choi et al. Computing in cardiology, 2022. Cites: paper

Murmur Detection and Clinical Outcome Classification Using a VGG-like Network and Combined Time-Frequency Representations of PCG Signals
Zhongrui Bai, Baiju Yan, Xianxiang Chen et al. Computing in cardiology, 2022. Cites: paper

Murmur Identification Using Supervised Constrastive Learning
Ľubomír Antoni, Erik Bruoth, Alexander Szabari et al. Computing in cardiology, 2022. Cites: paper

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach
Sven Festag, Gideon Stein, Tim Büchner et al. Computing in cardiology, 2022. Cites: paper

Phonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks
Bjørn-Jostein Singstad, Lars Ailo Bongo, Markus Kreutzer Johnsen et al. Computing in cardiology, 2022. Cites: paper

Phonocardiographic Murmur Detection by Scattering-Recurrent Networks
Philip A. Warrick, Jonathan Afilalo. Computing in cardiology, 2022. Cites: paper

Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram
Hao WEN, Jingsu Kang. Computing in cardiology, 2022. Cites: paper

Towards Uncertainty-Aware Murmur Detection in Heart Sounds via Tandem Learning
Erika Bondareva, Jing Han, Tong Xia et al. Computing in cardiology, 2022. Cites: paper

Transfer Learning in Heart Sound Classification using Mel spectrogram
Xin Li, Fernando Soares Schlindwein, G. Andre Ng. Computing in cardiology, 2022. Cites: paper

Transformer embedded with learnable filters for heart murmur detection
Pengfei Fan, Yucheng Shu, Yiming Han". Computing in cardiology, 2022. Cites: paper

Two-stage Detection of Murmurs from Phonocardiograms using Deep and One-class Methods
Sara Summerton, Danny Wood, Darcy Murphy et al. Computing in cardiology, 2022. Cites: paper

Two-Stage Multitask-Learner for PCG Murmur Location Detection
Maurice Rohr, Benedikt Müller, Sebastian Dill et al. Computing in cardiology, 2022. Cites: paper

Using Mel-Spectrograms and 2D-CNNs to Detect Murmurs in Variable Length Phonocardiograms
Marius S. Knorr, Jan Phillip Bremer. Computing in cardiology, 2022. 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

A Heart Sound Classification Method Based on Residual Block and Attention Mechanism
Yujie Chen, Wenliang Zhu, Jinke Xu et al. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022. Cites: paper

Can Multi-channel Heart Sounds Analysis improve Murmur Detection?
Marcelo Nogueira, Jorge Oliveira, Carlos Gomes Ferreira et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2022. Cites: paper

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola et al. medRxiv, 2022. Cites: paper

Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals
J. Torre-Cruz, D. Martínez-Muñoz, N. Ruiz-Reyes et al. Computer Methods and Programs in Biomedicine, 2022. Cites: paper

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