Publications citing The CirCor DigiScope Phonocardiogram Dataset v1.0.3

Heart Murmur Detection in Phonocardiogram Data Leveraging Data Augmentation and Artificial Intelligence
Melissa Valaee, Shahram Shirani. Diagnostics, 2025. Cites: paper

A hybrid neural network with multistage feature fusion for detecting heart failure and murmurs from time–frequency representations of phonocardiograms
Mahmoud Fakhry, Ascensión Gallardo-Antolín. Systems and Soft Computing, 2025. Cites: paper

Deep learning based murmur detection from PCG signals collected at four valve locations using joint optimization and decision fusion
Monjur Morshed, Shaikh Anowarul Fattah. Results in Engineering, 2025. Cites: paper

Multi-Stage Respiratory Sound Analysis: Confidence-Driven Wheeze and Crackle Detection
Annapurna Kala, Mounya Elhilali. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

A robust deep learning based model for denoising phonocardiogram signals in clinical environments
Maroš Jakubec, Eva Lieskovská, Peter Počta. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Deep determination of cardiac condition from phonocardiograms
Shubham Basak, Ujjwal Bhattacharya. Neural Computing and Applications, 2025. Cites: paper

Bimodal ECG and PCG Cardiovascular Disease Detection: Exploring the Potential and Modality Contribution
Alessia Calzoni, Mattia Savardi, Marco Silvestri et al. Journal of Medical Systems, 2025. Cites: dataset, paper

PhysioEdge: Multimodal Compressive Sensing Platform for Wearable Health Monitoring
Rens Baeyens, Dennis Laurijssen, Jan Steckel et al. Euromicro Conference on Digital System Design (DSD), 2025. Cites: paper

Does Effective Heart Sound Segmentation Necessarily Require Deep Learning?
Salman Almuhammad Alali, Amar Kachenoura, Lotfi Senhadji et al. European Signal Processing Conference (EUSIPCO), 2025. Cites: paper

Empowering cardiovascular diagnostics with SET-MobileNet: A lightweight and accurate deep learning based classification approach
Zunair Safdar, Jinfang Sheng, Muhammad Usman Saeed et al. Image and Vision Computing, 2025. Cites: paper

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification
Martin Sondermann, Pinar Bisgin, Niklas Tschorn et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Compressed Sensing of Acoustic Cardiopulmonary Signals Using a CNN-based Reconstruction Method
Rens Baeyens, Domenico Ragusa, Toon Stas et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Using Convolutional Neural Networks for Fetal Heart Sound Segmentation
Kristóf Müller, Janka Hatvani, Márton Áron Goda et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

AI Heart Sound Denoising at the Edge
Declan Duggan, Andriy Temko, Volodymyr Sarana et al. International Workshop on Advances in Sensors and Interfaces (IWASI), 2025. Cites: paper

A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease
Elza Abdessater, Jimmy Pawlowski, Paniz Balali et al. Sensors, 2025. Cites: paper

Temporal convolutional neural network-based feature extraction and asynchronous channel information fusion method for heart abnormality detection in phonocardiograms
Jae-Man Shin, Seongyong Park, Keewon Shin et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
Yunendah Nur Fuadah, Ki Moo Lim. Biomedical Engineering Letters, 2025. Cites: paper

Deep learning models for segmenting phonocardiogram signals: a comparative study
Hiam Alquran, Yazan Al-Issa, Mohammed Alsalatie et al. PLoS ONE, 2025. Cites: paper

How do we assess the trustworthiness of AI? Introducing the trustworthiness assessment model (TrAM)
Nadine Schlicker, Kevin L. Baum, Alarith Uhde et al. Computers in Human Behavior, 2025. Cites: paper

MUM: Enhancing Medical Diagnostics Through Unpaired Multimodal Data Integration
Karthick Sharma, Mokeeshan Vathanakumar, G.G.A.D.N.D. Seneviratne et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations
Leonel Orozco-Reyes, Miguel Alonso, Eloísa García–Canseco et al. Technologies, 2025. Cites: paper

Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection
Dixon Vimalajeewa, Chihoon Lee, Brani Vidaković. Scientific Reports, 2025. Cites: paper

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study
Ainaz Jamshidi, Muhammad Arif, Sabir Ali Kalhoro et al. Conference on Information Sciences and Systems, 2025. Cites: paper

A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs
Ayushi Pal, Arka Roy, Udit Satija. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Valve Token Masked Autoencoder for Missing Recordings on Cardiac Abnormality Classification
An-Yan Chang, Jing-Tong Tzeng, Huanyu Chen et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Cardiac Diagnosis System Using ECG and PCG Signals with a Multi-Scale Pooling-Based Deep Neural Network (MSP-DNN) Classifier
Mathan. S, Sunil Gupta. International Conference on Disruptive Technologies (ICDT), 2025. Cites: paper

Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform and 1D-CNN
Ahmed Patwa, Muhammad Mahboob Ur Rahman, Tareq Y. Al-Naffouri. IEEE Sensors Journal, 2025. Cites: paper

Enhancement of phonocardiogram segmentation using convolutional neural networks with Fourier transform module
Changhyun Park, Keewon Shin, Jinew Seo et al. Biomedical Engineering Letters, 2025. Cites: dataset

Unsupervised segmentation of heart sounds from abrupt changes detection
E. Tatulli, Rémi Souriau, Julie Fontecave-Jallon. Computers in Biology and Medicine, 2025. Cites: paper

Classification of heart sound signals with Whisper model
Maryam Alotaibi, Yakoub Bazi, Mohamad Mahmoud Al Rahhal et al. Connection Science, 2025. Cites: paper

LaCHeST: An AI-assisted auscultation tool for pediatric congenital heart diseases screening and validated via large-scale screening tasks
Tingxin Guan, Zhi Chen, Dongyang Xu et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Phonocardiography-Based Automated Detection of Prosthetic Heart Valve Dysfunction Using Persistence Spectrum and Interpretable Deep CNN
Anandita Bhardwaj, Sandeep Singh, Deepak Joshi. IEEE Sensors Journal, 2025. Cites: paper

A Comprehensive Survey on Advanced Technologies Introduced for Rehabilitation
Yue Rong, Paolo Crippa, Ali Mansour et al. IEEE Sensors Reviews, 2025. Cites: paper

ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A BIBLIOMETRIC ANALYSIS OF BRAZILIAN RESEARCH
Brianda de Oliveira Ordonho Sígolo, Mara Flavia Mamedio Avallone, Rodolfo de Oliveira Medeiros et al. Interciencia, 2025. Cites: paper

Comparación de técnicas de reconstrucción de señales fonendoscópicas para el análisis de patrones acústicos cardíacos
Gabriel Felipe Rojas Arango, Andrea Carolina Corredor Bedoya. REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA, 2025. Cites: dataset

Deep Learning Based Murmur Detection from Pcg Signals Collected at Four Valve Locations Using Joint Optimization and Decision Fusion
Monjur Morshed, Shaikh Anowarul Fattah. SSRN Electronic Journal, 2025. Cites: paper

Denoising of Heart Sounds Using Lightweight FCNs and Spectrograms With and Without Context
Declan Duggan, Andriy Temko, Volodymyr Sarana et al. IEEE Access, 2025. Cites: paper

Descriptor: Heart and Lung Sounds Dataset Recorded From a Clinical Manikin Using Digital Stethoscope (HLS-CMDS)
Yasaman Torabi, Shahram Shirani, James P. Reilly. IEEE data descriptions., 2025. Cites: dataset

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review
A. Kannan, Manob Jyoti Saikia, Sushant Kumar et al. IEEE Access, 2025. Cites: paper

Development of a Classification Model for Pediatric Cardiac Abnormality Detection Through the Integration of Child Physiological Data and Phonocardiogram Features
Yu-Yu Yen, Chun Chin Chang, Jui‐Hung Kao et al. Lecture notes in electrical engineering, 2025. Cites: paper

Remote Monitoring of Vital Signs
Stefania Cristina, Peter Počta, Andrej Žgank et al. Intelligent systems reference library, 2025. Cites: paper

Phonocardiogram Signal Denoising Using Dictionary Learning
Habib Ebadi Namin, Hossein Marvi, Alireza Ahmadyfard. International Conference on Signal Processing and Intelligent Systems (ICSPIS), 2024. Cites: paper

Analysis of Systolic Murmurs in Heart Sounds Using Multiresolution Complex Gabor Dictionary
Mahmoud Fakhry, Ascensión Gallardo-Antolín. International Conference on Computer and Applications (ICCA), 2024. Cites: paper

Machine learning based heart murmur detection and classification
Ishan Fernando, D. Oliver Kannangara, Santhusha Kodituwakku et al. Biomedical Physics & Engineering Express, 2024. Cites: paper

From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings
Felix Krones, Benjamin Walker. PLOS Digital Health, 2024. Cites: paper

Toward the Development of a Low-Cost AI-Enabled Digital Stethoscope
Francis Chikweto, Muyanga Kampekete, Mubanga Boyd et al. International Conference on Electrical and Computer Engineering Researches (ICECER), 2024. Cites: paper

pyPCG: a Python toolbox specialized for phonocardiography analysis
Kristóf Müller, Janka Hatvani, Miklós Koller et al. Physiological Measurement, 2024. Cites: paper

Accurately assessing congenital heart disease using artificial intelligence
Khalil Khan, Farhan Ullah, Ikram Syed et al. PeerJ Computer Science, 2024. Cites: paper

A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms
Andrew McDonald, Mark Gales, Anurag Agarwal. PLOS Digital Health, 2024. Cites: dataset, paper

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