Documents publiés en "2014"

A

Ali, M. A., Hurtut, T., Faucon, T., & Cheriet, F. (février 2014). Glaucoma detection based on local binary patterns in fundus photographs [Communication écrite]. Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, Calif., USA. Lien externe

Assi, K. C., Labelle, H., & Cheriet, F. (2014). Modified large margin nearest neighbor metric learning for regression. IEEE Signal Processing Letters, 21(3), 292-296. Lien externe

Assi, K. C., Labelle, H., & Cheriet, F. (2014). Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning. Computers in Biology and Medicine, 48(1), 85-93. Lien externe

B

Beliveau, P., Cheriet, F., Anderson, S. A., Taylor, J., Arai, A. E., & Hsu, L.-Y. (janvier 2014). Textural analysis of late gadolinium enhanced magnetic resonance images can discriminate acute from chronic myocardial infarction [Affiche]. 17th annual SCMR Scientific Sessions, New Orleans, LA, USA (2 pages). Publié dans Journal of Cardiovascular Magnetic Resonance, 16(S1). Disponible

Bendaoudi, H., Cheriet, F., Ben Tahar, H., & Langlois, J. M. P. (octobre 2014). A Scalable Hardware Architecture for Retinal Blood Vessel Detection in High Resolution Fundus Images [Communication écrite]. Conference on Design & Architectures for Signal & Image Processing (DASIP 2014), Madrid, Spain. Lien externe

F

Fasih, M., Langlois, J. M. P., & Cheriet, F. (février 2014). Retinal image quality assessment using generic features [Communication écrite]. SPIE Medical Imaging, San Diego, California, USA. Lien externe

G

Garnier, M., Hurtut, T., Ben Tahar, H., & Cheriet, F. (février 2014). Automatic multiresolution age-related macular degeneration detection from fundus images [Communication écrite]. Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, Calif., USA. Lien externe

Girard, F., Kavalec, C., Tahar, H. B., & Cheriet, F. (septembre 2014). Uncertainty assessment of vessels width measurement from intensity profile model fitting in fundus images [Communication écrite]. Ophthalmic Medical Image Analysis First International Workshop (OMIA 2014), Boston, MA, USA. Lien externe

L

Lombaert, H., Grady, L., Pennec, X., Ayache, N., & Cheriet, F. (2014). Spectral log-demons: Diffeomorphic image registration with very large deformations. International Journal of Computer Vision, 107(3), 254-271. Lien externe

O

Olamaei, N., Cheriet, F., Deschênes, S., & Martel, S. (2014). Dynamic tracking of magnetic nanoparticles for mapping microvascular networks using a clinical 1.5 T magnetic resonance scanner. Applied Physics Letters, 104(21), 213703. Lien externe

R

Ramsay, J., Joncas, J., Gilbert, G., Trop, I., Cheriet, F., Labelle, H., & Parent, S. (2014). Is Breast Asymmetry Present in Girls with Adolescent Idiopathic Scoliosis? Spine deformity, 2(5), 374-379. Lien externe

S

Séoud, L., Faucon, T., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (avril 2014). Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features [Communication écrite]. 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), Beijing, China. Lien externe

Z

Zaglam, N., Jouvet, P., Flechelles, O., Emeriaud, G., & Cheriet, F. (2014). Computer-aided diagnosis system for the Acute Respiratory Distress Syndrome from chest radiographs. Computers in Biology and Medicine, 52, 41-48. Lien externe