Pennec, Xavier

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P.-A., Cetin, I., Lekadir, K., Camara, O., Gonzalez Ballester, M. A., et al. (2018) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 2,431

Log-Euclidean metrics for fast and simple calculus on diffusion tensors

Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2006) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsTensor decomposition and applications

Cited by 1,113

Svf-net: learning deformable image registration using shape matching

Rohé, M.-M., Datar, M., Heimann, T., Sermesant, M., & Pennec, X. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 330

Validation of medical image processing in image-guided therapy

Jannin, P., Fitzpatrick, J. M., Hawkes, D. J., Pennec, X., Shahidl, R., & Vannier, M. W. (2002) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 177

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Suinesiaputra, A., Dhooge, J., Duchateau, N., Ehrhardt, J., Frangi, A. F., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., et al. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 95

Assessing atrophy measurement techniques in dementia: results from the MIRIAD atrophy challenge

Cash, D. M., Frost, C., Iheme, L. O., Ünay, D., Kandemir, M., Fripp, J., Salvado, O., Bourgeat, P., Reuter, M., Fischl, B., et al. (2015) · NeuroImage

Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques

Cited by 72