Jianjiang Feng
Union Hospital
Wuhan, 430022, China
Wuhan, 430022, China
Last Updated: 09/26/2026
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Found 22 publications
VesselDiffusion: 3D Vascular Structure Generation Based on Diffusion Model.
Journal: IEEE transactions on medical imaging
Published: May 09, 2025
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection.
Journal: IEEE transactions on medical imaging
Published: February 06, 2024
Cross-modality cerebrovascular segmentation based on pseudo-label generation via paired data.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: January 07, 2024
Multi-task global optimization-based method for vascular landmark detection.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: July 16, 2023
Monocular 3D Fingerprint Reconstruction and Unwarping.
Journal: IEEE transactions on pattern analysis and machine intelligence
Published: April 05, 2023
Automated diagnosis of pancreatic mucinous and serous cystic neoplasms with modality-fusion deep neural network using multi-modality MRIs.
Journal: Frontiers in oncology
Published: March 29, 2023
Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT.
Journal: Computers in biology and medicine
Published: October 19, 2021
A rapid screening classifier for diagnosing COVID-19.
Journal: International journal of biological sciences
Published: October 03, 2020
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Journal: Nature communications
Published: June 11, 2020
Longitudinal Assessment of COVID-19 Using a Deep Learning-based Quantitative CT Pipeline: Illustration of Two Cases.
Journal: Radiology. Cardiothoracic imaging
Published: February 25, 2020
Learning Deep Binary Descriptor with Multi-Quantization.
Journal: IEEE transactions on pattern analysis and machine intelligence
Published: July 25, 2018
Last Updated: 09/26/2026