Automatic classification of tissues on pelvic MRI based on relaxation times and support vector machine.
- Published in:
- PLoS ONE, 2019, v. 14, n. 2, p. 1, doi. 10.1371/journal.pone.0211944
- By:
- Publication type:
- Article
Works by Bricq, Stéphanie
Results: 7
1
2
A novel alternative to classify tissues from T and T relaxation times for prostate MRI.
- Published in:
- MAGMA: Magnetic Resonance Materials in Physics, Biology & Medicine, 2016, v. 29, n. 5, p. 777, doi. 10.1007/s10334-016-0562-3
- By:
- Publication type:
- Article
3
Semiautomatic detection of myocardial contours in order to investigate normal values of the left ventricular trabeculated mass using MRI.
- Published in:
- 2016
- By:
- Publication type:
- journal article
4
Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning.
- Published in:
- Medical & Biological Engineering & Computing, 2024, v. 62, n. 11, p. 3433, doi. 10.1007/s11517-024-03140-w
- By:
- Publication type:
- Article
5
Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation.
- Published in:
- 2018
- By:
- Publication type:
- journal article
6
Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis.
- Published in:
- Medical & Biological Engineering & Computing, 2012, v. 50, n. 10, p. 1017, doi. 10.1007/s11517-012-0919-3
- By:
- Publication type:
- Article
7
Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images.
- Published in:
- Journal of Electronic Imaging, 2024, v. 33, n. 3, p. 31204, doi. 10.1117/1.JEI.33.3.031204
- By:
- Publication type:
- Article