Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A partial intensity invariant feature descriptor for multimodal retinal image registration.

Jian Chen1, Jie Tian, Noah Lee

  • 1Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. jianchen@cn.ibm.com

IEEE Transactions on Bio-Medical Engineering
|February 24, 2010
PubMed
Summary

A new feature descriptor, PIIFD, improves multimodal retinal image registration by accurately aligning images even with poor quality. The Harris-PIIFD framework offers a robust solution for enhanced medical image analysis.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and Artificial Intelligence.

medRxiv : the preprint server for health sciences·2025
Same author

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI.

Perinatal, preterm and paediatric image analysis (2025)·2025
Same author

Effects of Lung Expansion on Global and Regional Pulmonary Blood Volume in a Sheep Model of Acute Lung Injury.

Anesthesiology·2025
Same author

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling.

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition·2024
Same author

MULTI-VIEW CNN FOR TOTAL LUNG VOLUME INFERENCE ON CARDIAC COMPUTED TOMOGRAPHY.

Proceedings. IEEE International Symposium on Biomedical Imaging·2024
Same author

UNSUPERVISED DOMAIN ADAPTION WITH ADVERSARIAL LEARNING (UDAA) FOR EMPHYSEMA SUBTYPING ON CARDIAC CT SCANS: THE MESA STUDY.

Proceedings. IEEE International Symposium on Biomedical Imaging·2024

Failed At:

2026-06-19T13:42:54.932847+00:00

Related Experiment Videos