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

Efficient acoustic detection of dental food impaction: An interpretable fusion framework
Songhua Hu, Hongyan Wang, Lai Jiang et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

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

HM-Swin: Hierarchical Multiscale Swin Transformer Network with Attention Fusion for Heart Sound Classification
Kalpeshkumar Ranipa, Wei-Ping Zhu, M.N.S. Swamy. Bioengineering, 2026. Cites: paper

Heart sound classification using machine learning approaches based on mel-frequency cepstrum coefficients (MFCCs) and statistical features
Zaied Alhaj, Mahmut Öztürk. Discover Computing, 2026. Cites: paper

Impact of data augmentation techniques on deep transfer learning for heart sound classification
Nour el houda / Gorine, Mohammed Elamine Moumene, Saliha Benkerdagh. Biomedical Physics & Engineering Express, 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

A problem-oriented survey of anomalous sound detection: From normality learning to deployable acoustic intelligence
Fengtao He, Zhaoyang Li, Mingyue He et al. Computer Speech & Language, 2026. Cites: paper

AI-driven cross-disciplinary idea generation: A multi-agent framework with world café simulation
Jiyan Chen, Dejun Ning. Applied Soft Computing, 2026. Cites: paper

Fusion of Time–Frequency Representations and Texture Descriptors for Heart Sound Classification
Tien Thanh Duong, Thi Anh Thuong Le, Cong Vinh Tran et al. Lecture notes in computer science, 2026. Cites: paper

Multi-Domain Spectral and Time-Series Imaging Representations for Pediatric Congenital Heart Disease Classification
Sittinon Thanonklang, Talit Jumphoo, Wongsathon Pathonsuwan et al. AI, 2026. Cites: paper

Congenital heart disease classification using phonocardiograms: a scalable screening tool for diverse environments
Abdul Jabbar, Ethan Grooby, Jack Crozier et al. Scientific Reports, 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: paper

LightFuse-DBNet: Lightweight Dual-Branch CNN with hierarchical fusion for heart sound classification
SenPeng Chen, Siyu Huang, Xinhong Meng et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Automated Normal and Abnormal Heart Sound Classification Using Hybrid Feature Ensemble
Roohum Jegan, Namrata Arya, Ranjeeta Padlikar. Advances in computational intelligence and robotics book series, 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

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

HRV-anchored autonomic-morphological structured factorization for interpretable multimodal cardiovascular risk prediction
Jiantao Xu, Dexing Zhou, Jianbo Xu et al. Computers in Biology and Medicine, 2026. Cites: paper

HSD-Net: a dual-branch CNN-BiLSTM network with hybrid cepstral fusion for heart sound classification
Caijian Hua, Ye Tian, Liuying Li et al. Frontiers in Medical Technology, 2026. Cites: paper

From convolutions to transformers: a comparative analysis of deep learning models for heart sound classification
Bollapalli Althaph, Devyani Sah, Lasya Reddy et al. Journal of Umm Al-Qura University for Medical Sciences, 2026. Cites: paper

CCDA-Net: An End-to-End Dual Attention Network with Cardio-Cycle Awareness for Heart Sound Classification from RAW PCG Signals
Prabha Devi D, G Rajeshkumar, Dinesh P S et al. International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), 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

Similarity-Based Signal Embedding for Heart Sound Abnormality Detection
Abdullah Çalışkan, Zeynep Sude Kuş. Balkan Journal of Electrical and Computer Engineering, 2026. Cites: paper

Agent-guided pruning and quantization strategy for lightweight heart sound classification
Jinpo Wang, Alessandro Fasana, Zijian Qiao et al. Biomedical Signal Processing and Control, 2026. Cites: paper

HPA‐Net: a lightweight hierarchical progressive fusion network for cardiac disease detection based on ECG-PCG signals
Tong Xiao, Lufeng Che. Biomedical Physics & Engineering Express, 2026. Cites: paper

Entropy-Based Phonocardiogram Classification Using Continuous and Synchrosqueezed Wavelet Transforms: A Systematic Comparison
Anupinder Singh, Vinay Arora, Mandeep Singh. Diagnostics, 2026. Cites: paper

Multi-classification algorithm of heart sounds for congenital heart disease based on Mel-scaled Frequency-domain Polynomial Chirplet Transform
Yanxiong Cheng, Yongzhuo Jiang, Hongbo Yang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Explainable AI-Driven Optimized LSTM for Heart Sound Classification and Diagnostic Support
Faiq Ahmad Khan, Arshad Hassan, Lia Anwar et al. Lecture notes in computer science, 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

A systematic review of machine learning approaches for phonocardiogram classification
Abdulrahman Al-Shanoon, Edward R. Sykes, Hedyeh Nazari. Computer Methods in Biomechanics & Biomedical Engineering, 2026. Cites: paper

Transform-aware cross-frequency consistency for robust multivariate time-series classification under spectral shift
Yi Ren, Jianing Xu, Fangjun Luan et al. Information Sciences, 2026. Cites: paper

A Lightweight Convolutional Neural Network Hardware Implementation for Wearable Heart Sound Diagnosis
Jiehong Fang, Lina Yu, Wan’ang Xiao. Circuits Systems and Signal Processing, 2026. Cites: paper

Correlation Between Structural Parameters and Piezoelectric Performance of PVDF Heart Sound Sensors
Ke Wang, Ruiqiang Zheng, Rongguo Yan et al. Annals of Biomedical Engineering, 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

Enhancing heart sound signal denoising: unveiling the impact of time-frequency transformation in U-Net performance
Cristóbal González–rodríguez, Eloísa García–Canseco, Miguel A. Alonso Arevalo et al. Signal Image and Video Processing, 2026. Cites: paper

Design and Fabrication of a Chitosan-Based Diaphragm Digital Stethoscope for Heart Sound Acquisition
María Claudia Rivas Rivas Ebner, Seong-Wan Kim, Giyeon Yu et al. Micromachines, 2026. Cites: paper

An MRC-Srformer Network Enhanced by Adjustable Time-Frequency Domain Feature Extraction for Heart Sound Detection
Jinpo Wang, Xiaohan Ye, Zijian Qiao et al. IEEE Sensors Journal, 2026. Cites: paper

A multimodal fusion network for heart sound abnormality detection and classification
Hong Duc Nguyen, Duc Tri Phan. Physiological Measurement, 2026. Cites: paper

Phonocardiogram Classification Using Cross-Validated Convolutional Neural Networks with ROC-Based Performance Analysis
Kaushik Das, Madhusudhan Mishra, Pranab Kishore Dutta. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

AudioFuse: Unified Spectral-Temporal Learning Via A Hybrid VIT-1D CNN Architecture for Phonocardiogram Classification
Md. Saiful Bari Siddiqui, Utsab Saha. IEEE International Conference on Acoustics Speech and Signal Processing, 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

MDF: A Model Dispatching Framework with Noise-Estimator-Centric Experts for Robust Biosignal Classification
Zhengyang Miao, Xidong Wu, Liping Xie. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Subspace Hybrid Adaptive Filtering for Phonocardiogram Signal Denoising
Wageesha N. Manamperi, Thushara Dheemantha Abhayapala. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Topseg: A Multi-Scale Topological Framework for Data-Efficient Heart Sound Segmentation
Peihong Zhangm, Zhixin Li, Yuxuan Liu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Efficient cheap all-layer aggregation network for time-sensitive time series classification
Hao Meng, Timur Khairulov, Dae‐Won Kim et al. Knowledge-Based Systems, 2026. Cites: paper

PACG-Net: Prior-Guided Contextual Modulation for Real-Time Clinical PCG Denoising
Zan Li, Huizhong Lin, Shangping Zhong et al. International Symposium on Bioinformatics and Computational Biology (BCB), 2026. Cites: paper

Trend virtual adversarial training for semi-supervised time series classification
Qingyi Pan, Liyuan Wang, Jingyi Zhang et al. Science China Information Sciences, 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: paper

An Experimental Study of Soft Computing Techniques for Physiological Pattern Detection
Maaz Shamim, Kausar Ali, Mohd Adna et al. International Conference on Emerging Computational Intelligence (ICECI), 2026. Cites: paper

A review on multi-sensor data fusion for wearable health monitoring
Arlene John, Alex Pappachen James, Barry Cardiff et al. Information Fusion, 2026. Cites: paper

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