CURVES: Curve evolution for vessel segmentation

By Liana M. Lorigo, Olivier D. Faugeras, W. Grimson, Renaud Keriven, Ron Kikinis, A. Nabavi, Carl-Fredrik Westin. Medical Image Anal., 2001

366 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fa01813091a37239163cf373116ea1331d704f35

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Bogdan Ene-Iordache
2. Kaleem Siddiqi
3. David A. Steinman
4. Lorenzo Botti
5. Luca Antiga
6. Andrea Remuzzi
7. Marina Piccinelli

In Computer Vision and Pattern Recognition

1. Bogdan Ene-Iordache
2. Kaleem Siddiqi
3. Paolo Remagnino
4. Muhammad Moazam Fraz
5. Bunyarit Uyyanonvara
6. Sarah Ann Barman
7. David A. Steinman
8. Alicja R. Rudnicka

Citations in the corpus

• Flux maximizing geometric flows (2001, methodology): “However, the derived flow is later modified with a (heuristic) multiplicative term to tailor it to blood vessel segmentation [19], [20].”
• A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes (2009, neutral): “Curves (Lorigo et al., 2001) (Fig.”
• An image-based modeling framework for patient-specific computational hemodynamics (2008, background): “[21] have proposed to replace the mean curvature H appearing in the second term of Eq.”
• An approach to localize the retinal blood vessels using bit planes and centerline detection (2012, background): “[77] L.”