Peng Zhang
Orcid: 0000-0002-3879-5860Affiliations:
- Beihang University, School of Biological Science and Medical Engineering, Beijing, China
According to our database1,
Peng Zhang
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
PST-Diff: Achieving High-Consistency Stain Transfer by Diffusion Models With Pathological and Structural Constraints.
IEEE Trans. Medical Imaging, October, 2024
UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation.
IEEE Trans. Artif. Intell., September, 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
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