Pengfei Zhang

Orcid: 0000-0001-8048-425X

Affiliations:
  • Qilu Hospital of Shandong University, Jinan, China


According to our database1, Pengfei Zhang authored at least 13 papers between 2018 and 2025.

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

Timeline

Legend:

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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

Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis.
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
Design of Online Annotation and Incision System for IVUS Images.
Proceedings of the Digital TV and Multimedia Communication - 15th International Forum, 2018


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