Chenbin Ma

Orcid: 0000-0003-1945-9332

According to our database1, Chenbin Ma authored at least 18 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adversarial learning-based domain adaptation algorithm for intracranial artery stenosis detection on multi-source datasets.
Comput. Biol. Medicine, March, 2024

A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification.
IEEE J. Biomed. Health Informatics, January, 2024

SMART-BP: SEM-ResNet and Auto-Regressor Based on a Two-Stage Framework for Noninvasive Blood Pressure Measurement.
IEEE Trans. Instrum. Meas., 2024

2023
Automatic diagnosis of multi-task in essential tremor: Dynamic handwriting analysis using multi-modal fusion neural network.
Future Gener. Comput. Syst., August, 2023

KD-Informer: A Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography.
IEEE J. Biomed. Health Informatics, May, 2023

MSHT: Multi-Stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer.
IEEE J. Biomed. Health Informatics, April, 2023

D2AFNet: A dual-domain attention cascade network for accurate and interpretable atrial fibrillation detection.
Biomed. Signal Process. Control., April, 2023

D2-RecST: Dual-domain joint reconstruction strategy for fluorescence molecular tomography based on image domain and perception domain.
Comput. Methods Programs Biomed., February, 2023

SVRNet: First Investigation of Single-View Reconstruction Network for Fluorescence Molecular Tomography.
IEEE Trans. Computational Imaging, 2023

Tremor detection Transformer: An automatic symptom assessment framework based on refined whole-body pose estimation.
Eng. Appl. Artif. Intell., 2023

2022
Prior Attention Network for Multi-Lesion Segmentation in Medical Images.
IEEE Trans. Medical Imaging, 2022

Two-stage framework for automatic diagnosis of multi-task in essential tremor via multi-sensory fusion parameters.
J. King Saud Univ. Comput. Inf. Sci., 2022

A feature fusion sequence learning approach for quantitative analysis of tremor symptoms based on digital handwriting.
Expert Syst. Appl., 2022

Objective quantification of the severity of postural tremor based on kinematic parameters: A multi-sensory fusion study.
Comput. Methods Programs Biomed., 2022

Arrhythmia detection based on multi-scale fusion of hybrid deep models from single lead ECG recordings: A multicenter dataset study.
Biomed. Signal Process. Control., 2022

Quantitative assessment of essential tremor based on machine learning methods using wearable device.
Biomed. Signal Process. Control., 2022

A Quantitative Approach and Preliminary Application in Healthy Subjects and Patients with Valvular Heart Disease for 24-h Breathing Patterns Analysis Using Wearable Devices.
Proceedings of the IEEE International Conference on E-health Networking, 2022

2021
Global hybrid multi-scale convolutional network for accurate and robust detection of atrial fibrillation using single-lead ECG recordings.
Comput. Biol. Medicine, 2021


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