Peng Zhang

Orcid: 0000-0002-3879-5860

Affiliations:
  • Beihang University, School of Biological Science and Medical Engineering, Beijing, China


According to our database1, Peng Zhang 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
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

STP: Self-supervised transfer learning based on transformer for noninvasive blood pressure estimation using photoplethysmography.
Expert Syst. Appl., 2024

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

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

Self-Training Strategy Based on Finite Element Method for Adaptive Bioluminescence Tomography Reconstruction.
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

2021
UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-Sampling Deep Neural Network.
IEEE Trans. Medical Imaging, 2021

Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning.
J. Digit. Imaging, 2021

D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism.
CoRR, 2021

D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution.
Comput. Biol. Medicine, 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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