Pengfei Zhang
Orcid: 0000-0001-8048-425XAffiliations:
- Qilu Hospital of Shandong University, Jinan, China
According to our database1,
Pengfei Zhang
authored at least 13 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A semi-automatic cardiovascular annotation and quantification toolbox utilizing prior knowledge-guided feature learning.
Biomed. Signal Process. Control., 2025
2023
A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation.
Medical Biol. Eng. Comput., June, 2023
IAT: A Full-Scale IVUS Analysis Toolbox Based on Deep Learning Algorithms for Clinical Diagnosis.
IEEE Trans. Instrum. Meas., 2023
2022
AIVUS: Guidewire Artifacts Inpainting for Intravascular Ultrasound Imaging With United Spatiotemporal Aggregation Learning.
IEEE Trans. Computational Imaging, 2022
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.
Medical Image Anal., 2022
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks.
Future Gener. Comput. Syst., 2022
2021
Multiparameter Synchronous Measurement With IVUS Images for Intelligently Diagnosing Coronary Cardiac Disease.
IEEE Trans. Instrum. Meas., 2021
2020
Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification.
Sci. Program., 2020
Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.
Comput. Medical Imaging Graph., 2020
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Three-Dimensional Reconstruction of Intravascular Ultrasound Images Based on Deep Learning.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2019
2018
Proceedings of the Digital TV and Multimedia Communication - 15th International Forum, 2018