Automatic Model-Based Segmentation of the Heart in CT Images

By O. Ecabert, J. Peters, H. Schramm, Cristian Lorenz, Jens von Berg, M. Walker, M. Vembar, M. Olszewski, K. Subramanyan, G. Lavi and 1 more. IEEE Transactions on Medical Imaging, 2008

401 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/a675d2559e6fc33e1a515557665504bb54317ae9

How researchers see this paper

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

In Biomedical Engineering

1. Daniel Rueckert
2. Wilfried Philips
3. Bart Goossens
4. Jose Caballero
5. Pierre-Marc Jodoin
6. Ivana Despotovic
7. Ozan Oktay
8. Arvid Lundervold

In Computer Vision and Pattern Recognition

1. Daniel Rueckert
2. Jose Caballero
3. Wilfried Philips
4. J. Bosch
5. Bart Goossens
6. Seyed-Ahmad Ahmadi
7. Pierre-Marc Jodoin
8. Frank Lindseth

Citations in the corpus

• MRI Segmentation of the Human Brain: Challenges, Methods, and Applications (2015, background): “More reading about MRF can be found in [4].”
• Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography (2016, methodology): “, machine learning [18], statistical shape model [45] and Kalman filtering [19].”