Publications citing The CirCor DigiScope Phonocardiogram Dataset v1.0.3

Cross-Dataset Generalization in Phonocardiogram Murmur Classification: A Benchmark Study of Domain-Conditional Performance and the Role of Multi-Representation Fusion
Hüseyin Kutlu, Cemil Çolak. Journal of Clinical Medicine, 2026. Cites: paper

Role of Telemedicine in Congenital Heart Disease Care Models in Low‐ and Middle‐Income Countries: A Scientific Statement From the American Heart Association
Sandra S. Mattos, Dominique Vervoort, Shazia Moshin et al. Journal of the American Heart Association, 2026. Cites: paper

SDCNet: A Shapley-guided dynamic convolutional network for heart disease diagnosis with multi-site heart sounds
Jialei Yan, Hongbo Yang, Tao Guo et al. Information Sciences, 2026. Cites: paper

Multimodal AI estimates hemodynamic echocardiographic indicators of structural heart disease from heart sounds and pulse waves
Qun Wei, Incheol Kim, Ji-Seung Han et al. Research Square, 2026. Cites: paper

Pediatric murmur auscultation and tele-consultation: importance of signal quality and classification
Lizelle van Wyk, Jacomine Grobler. Pediatric Research, 2026. Cites: paper

Physiology-Aligned Hierarchical Network for Heart Murmur Detection
Wenjun Lin, Rui Guan, Ren Jun Soon et al. Lecture notes in computer science, 2026. Cites: paper

Multi-feature fusion with bidirectional cross-modal attention for joint multi-task classification of heart sounds
Yikang Zhang, Yanan Zhou, Yuwen Li et al. Medical & Biological Engineering & Computing, 2026. Cites: paper

Online heart sound segmentation as temporal tracking: a closed-loop prediction–detection–update framework
Yongchao Huo, Xiaodong Zhang, Yuanyuan Ni et al. Biomedical Physics & Engineering Express, 2026. Cites: dataset, paper

QiVC-Net: Quantum-inspired variational convolutional network, with application to biosignal classification
Amin Golnari, Jamileh Yousefi, Reza Moheimani et al. Neural Networks, 2026. Cites: paper

MTENet: A Multi-Representation Time-Series Evidential Network for Automated Heart Murmur Detection from Phonocardiogram Signals
Yiğit Can Polat, Kenan Zengin. Applied Sciences, 2026. Cites: paper

A Hybrid Deep Learning and Image-like Framework for Fetal Heart Rate Estimation Using Phonocardiography Signals
Ernesto Moya-Albor, Sandra L. Gomez-Coronel, Jorge Brieva et al. Mathematics, 2026. Cites: paper

An empirical comparison of deep CNN architectures for heart sound classification from phonocardiogram signals
Arar Al Tawil, Bodor H. Bin Sheeha, Aseel Aburub. Frontiers in Physiology, 2026. Cites: paper

TriFusion-PCGNet: A Hybrid Multi-Branch Deep Learning Network for Energy-Aware Normal/Abnormal Heart Sound Classification
Tolga Çakmak, Çetin Mirzaoğlu, Melike Demir et al. Life, 2026. Cites: paper

Exploring Exertion-Aware AI Auscultation: Addressing Exercise-Induced Murmurs to Reduce False Pathological Alerts
Yixin Zhang, Shaaf Ahmad, Faisal F. Syed et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

HSBP-DB: A synchronised phonocardiography and arterial blood pressure dataset for multi-class hypertension staging under resting and exercise conditions
Sairul Izwan., Nurfatin Najwa Othman, Nur Dania Ajrina Rahim. Data in Brief, 2026. Cites: paper

Dual warm-start fusion versus attention-based fusion in low-label ECG–PCG classification: a controlled ablation study
Erkan Kıymık. Physiological Measurement, 2026. Cites: paper

Comparative modeling of mixed cardiopulmonary sounds in a low-resource paired dataset: Discrimination, calibration, and operating-point behavior
Runchen Cai. PLoS ONE, 2026. Cites: paper

Environmental and External Determinants of Human Auscultation and Implications for Digital Stethoscope Development
Emmanuel Andrès, Noël Lorenzo Villalba, Amir Hajjam El Hassani. Journal of Cardiovascular Medicine and Cardiology, 2026. Cites: paper

Research Progress and Trends of Intelligent Speech in Pathological Healthcare
Yingming Gao, Yangqing Wu, Fei Yang et al. Journal of Shanghai Jiaotong University (Science), 2026. Cites: paper

Prior-aligned frequency-domain explanations for heart sound classification: a scale-consistent attribution approach
Qiyang Sun, Yupei Li, Aydin Javadov et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

Supervised Source Separation and Multimodal Fusion of Heart-Lung Sounds
Lord Coffie, Mary Dufie Afrane, Jongyeop Kim et al. IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), 2026. Cites: paper

A Metric Learning Approach to Heart Murmur Detection from Phonocardiogram Recordings
Florian Lübbe, Ahmad Bdeir, Niels Landwehr et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Congenital heart disease diagnosis using machine learning: a systematic literature review
Khalil Khan, Ikram Syed, Farhan Ullah et al. Frontiers in Medicine, 2026. Cites: paper

DTF-STCANet: A Dual Time–Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification
Mehmet Nail Bilen, Fatih Mehmet ÇELİK, Mehmet Ali Kobat et al. Diagnostics, 2026. Cites: paper

MGO-CRNN: a bio-inspired deep learning framework for accurate phonocardiogram classification
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez et al. Journal Of Big Data, 2026. Cites: paper

A Prospective Real-Time Subspace KNN Ensemble for Heart Murmur Detection
Md. Iqbal Hossen Ashik, Hasibul Hasan Asif, Sharmin Jahan et al. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: paper

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez et al. Scientific Reports, 2026. Cites: dataset

Detection of Cardiovascular Abnormalities With Heart Sounds Using Machine Learning
Syed Asrar Zahoor, KV Kiran Kumar, G Paramesh. International Conference on AI-Driven Innovations & Applications (IC-AIDA), 2026. Cites: paper

Generative artificial intelligence for heart sound analysis: From model architectures to clinical applications
Mahmoud Fakhry, Abeer FathAllah Brery. Intelligent Systems with Applications, 2026. Cites: paper

Development and validation of AI-Enhanced auscultation for valvular heart disease screening through a multi-centre study
Andrew McDonald, Mark Gales, Bushra S. Rana et al. npj Cardiovascular Health, 2026. Cites: paper

BUET multi-disease heart sound dataset: A comprehensive auscultation dataset for developing computer-aided diagnostic systems
Shams Nafisa Ali, Afia Zahin, Samiul Based Shuvo et al. Computer Methods and Programs in Biomedicine Update, 2026. Cites: paper

Towards intelligent phonocardiogram analysis: Advances and future perspectives in cardiovascular disease detection
Malaya Kumar Nath, Sanghamitra Subhadarsini Dash, Karthick Mookkandi et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

Classification of systolic murmurs in heart sounds using multiresolution complex Gabor dictionary and vision transformer
Mahmoud Fakhry, CEIEC, Universidad Francisco de Vitoria, Ctra.M-515 Pozuelo-Majadahonda Km.1,800, Pozuelo de Alarcón, Madrid, 28223, Spain, Abeer FathAllah Brery et al. Electronic Research Archive, 2026. Cites: paper

Design and engineering validation of a Bluetooth low energy indoor asset tracking system with ESP32-C6 wireless gateways for multi-story buildings
Xudong Gao. Big Data and Information Analytics, 2026. Cites: paper

Heart Murmur Detection in Phonocardiogram Signals Using an Autoencoder and Multimodal-Based Classification Model
Héctor U. Chávez-Loya, Said A. Delgado-Portillo, Natalia Gabriela Sámano Lira et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2026. Cites: paper

Normal-abnormal heart sound classification using MFCC-based acoustic features and gradient boosting
Jingyu Fang, Lijun Pei. Big Data and Information Analytics, 2026. Cites: paper

Scattering Transformer: A Training-Free Transformer Architecture for Heart Murmur Detection
Rami Zewail. Lecture notes in computer science, 2026. Cites: paper

H-LDM: Hierarchical Latent Diffusion Models for Controllable and Interpretable PCG Synthesis from Clinical Metadata
Chenyang Xu, Siming Li, Hao Wang. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

A Deep Learning Model for Heart Sound Classification Fusing Time-Frequency Features
Nuo Liu, Xiayu S. Chen, Yueyi Yu et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

Smart Digital Stethoscope for Redefining Assistive Medical Diagnostics and Healthcare Accessibility
Basem M. ElHalawany. International Conference on ICT & Accessibility (ICTA), 2025. Cites: paper

Transfer learning based cardiac murmur detection in phonocardiogram signals using spectrograms
Pratibha Dohare, Unmesh Shukla, Diptadeep Bhattacharjee et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

DPPAT: Dual-Level Periodic Pattern-Aware Transformer for Heart Sound Murmur Identification
Zilan Hong, Wei Yu, Chunming Li et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Ultraefficient Compressed Phonocardiogram Classification on a Custom Embedded Neural Accelerator
Domenico Ragusa, Rens Baeyens, Danilo Pietro Pau et al. IEEE Internet of Things Journal, 2025. Cites: paper

Do stable neural networks exist for classification problems? – A new view on stability in AI
David Liu, Anders C. Hansen. European Journal of Applied Mathematics, 2025. Cites: paper

CardioPHON: Quality assessment and self-supervised pretraining for screening of cardiac function based on phonocardiogram recordings
Vladimir Despotović, Peter Počta, Andrej Žgank. Biomedical Signal Processing and Control, 2025. Cites: paper

A Deep Learning Framework for Early Detection of Potential Cardiac Anomalies via Murmur Pattern Analysis in Phonocardiograms
Aymane Edder, Fatima-Ezzahraa Ben-Bouazza, Oumaima Manchadi et al. 2025. Cites: paper

Explainable attention-based deep learning for classification and interpretation of heart murmurs using phonocardiograms
Bollapalli Althaph, Nagendra Panini Challa. Scientific Reports, 2025. Cites: paper

SMI-DSNet: Spatio-Temporal Matrix Imaging and Dual-Stream Networks for Enhanced Heart Sound Signal Classification
Dongyu Zhou, Chao Lian, Jian Li et al. IEEE Sensors Journal, 2025. Cites: paper

Enhanced Heart Sound Detection via Multi-Scale Feature Extraction and Attention Mechanism Using Pitch-Shifting Data Augmentation
Pengcheng Yue, Mingrong Dong, Yixuan Yang. Electronics, 2025. Cites: paper

Early heart disease prediction using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on phonocardiogram signals
D. Prabha Devi, Chenniappan Palanisamy. Frontiers in Neuroinformatics, 2025. Cites: paper

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