Mengling Feng
Orcid: 0000-0002-5338-6248
According to our database1,
Mengling Feng
authored at least 66 papers
between 2004 and 2024.
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Bibliography
2024
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images.
IEEE J. Biomed. Health Informatics, March, 2024
CoRR, 2024
CoRR, 2024
2023
A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI.
Comput. Biol. Medicine, December, 2023
Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network.
IEEE J. Biomed. Health Informatics, August, 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods.
CoRR, 2023
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.
CoRR, 2023
Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts.
CoRR, 2023
CoRR, 2023
Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China.
IEEE Trans. Intell. Transp. Syst., 2022
ACM Trans. Intell. Syst. Technol., 2022
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.
J. Digit. Imaging, 2022
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies.
J. Biomed. Informatics, 2022
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021.
CoRR, 2021
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms.
CoRR, 2021
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function.
CoRR, 2021
Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset.
Appl. Clin. Inform., 2021
Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021
2020
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Frontiers Digit. Health, 2020
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning.
CoRR, 2020
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020
Proceedings of the Computing in Cardiology, 2020
2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis.
CoRR, 2019
CoRR, 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care.
CoRR, 2019
Continuous ECG Monitoring Trial for Outpatient - Patient Receptiveness and Signal Accuracy.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department.
Proceedings of the AMIA 2019, 2019
2018
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series.
IEEE Trans. Biomed. Eng., 2018
2017
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database.
J. Am. Medical Informatics Assoc., 2017
2016
IEEE J. Biomed. Health Informatics, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns.
Proceedings of the AMIA 2014, 2014
Proceedings of the AMIA 2014, 2014
2013
An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics.
Proceedings of the IEEE International Conference on Acoustics, 2013
Incremental Maintenance of Emerging Patterns.
Proceedings of the Contrast Data Mining: Concepts, Algorithms, and Applications, 2013
2012
Response: an empirical comparison of several recent epistatic interaction detection methods.
Bioinform., 2012
AssocExplorer: an association rule visualization system for exploratory data analysis.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Multi-signal Visualization of Physiology (MVP): A novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Bioinform., 2011
Proceedings of the 27th International Conference on Data Engineering, 2011
Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Comput. Intell., 2010
Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
2008
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
2007
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007
2005
Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005
2004
IEICE Electron. Express, 2004
Adaptive binarization method for document image analysis.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004