Youdan Feng
Orcid: 0000-0002-8279-6529
According to our database1,
Youdan Feng
authored at least 15 papers
between 2021 and 2024.
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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
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques.
CoRR, 2024
CoRR, 2024
SI-ViT: Shuffle instance-based Vision Transformer for pancreatic cancer ROSE image classification.
Comput. Methods Programs Biomed., 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
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification.
CoRR, 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