Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Irène Kaltenmark"'
Autor:
Antoine Lefrere, Guillaume Auzias, Pauline Favre, Irène Kaltenmark, Josselin Houenou, Camille Piguet, Mircea Polosan, Lisa T Eyler, Mary L Phillips, Amelia Versace, Michèle Wessa, Colm McDonald, Dara M Cannon, Paolo Brambilla, Marcella Bellani, Christine Deruelle, Raoul Belzeaux
Publikováno v:
Journal of Affective Disorders. 325:224-230
Analyzing cortical folding may provide insight into the biological underpinnings of neurodevelopmental diseases. A neurodevelopmental subtype of bipolar disorders (BD-ND) has been characterized by the combination of early age of onset and psychotic f
Autor:
Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Mario Ghosn, Perrine Chassat, Joan Glaunès, Irène Kaltenmark
Publikováno v:
Journal of Machine Learning for Biomedical Imaging
Journal of Machine Learning for Biomedical Imaging, 2022
Journal of Machine Learning for Biomedical Imaging, 2022
Partial shapes correspondences is a problem that often occurs in computer vision (occlusion, evolution in time...). In medical imaging, data may come from different modalities and be acquired under different conditions which leads to variations in sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1853fe852c374257497f65e435da18
https://cnrs.hal.science/hal-03973166/file/2022-006.pdf
https://cnrs.hal.science/hal-03973166/file/2022-006.pdf
Autor:
Joan Alexis Glaunès, Pierre-Louis Antonsanti, Irène Kaltenmark, Vincent Jugnon, Thomas Benseghir
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030781903
IPMI
IPMI
In computer vision and medical imaging, the problem of matching structures finds numerous applications from automatic annotation to data reconstruction. The data however, while corresponding to the same anatomy, are often very different in topology o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4ac257765a64c56cb9fe15f12f9fc59
https://doi.org/10.1007/978-3-030-78191-0_10
https://doi.org/10.1007/978-3-030-78191-0_10
Autor:
Christine Deruelle, Irène Kaltenmark, Olivier Coulon, Julien Lefèvre, Guillaume Auzias, Lucile Brun
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2020, 66, pp.101749. ⟨10.1016/j.media.2020.101749⟩
Med Image Anal
Medical Image Analysis, 2020, 66, pp.101749. ⟨10.1016/j.media.2020.101749⟩
Med Image Anal
The sulcal pits are the points of maximal depth within the folds of the cortical surface. Their study is usually limited to the deepest and more robust ones. However, because they also consist in reliable cortical landmarks, the concept of sulcal pit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f0fcd925f055a291db169edd66cf176
https://hal.science/hal-03867295
https://hal.science/hal-03867295
Autor:
Alain Trouvé, Irène Kaltenmark
Publikováno v:
Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b37583904e734a32db08039d4b5f98
https://doi.org/10.1142/9789811200137_0006
https://doi.org/10.1142/9789811200137_0006
Autor:
Olivier Coulon, Irène Kaltenmark, Christine Deruelle, Lucile Brun, Julien Lefèvre, Guillaume Auzias
Publikováno v:
ISBI
International Symposium on Biomedical Imaging (ISBI) 2018
International Symposium on Biomedical Imaging (ISBI) 2018, Apr 2018, Washington, DC, United States
International Symposium on Biomedical Imaging (ISBI) 2018
International Symposium on Biomedical Imaging (ISBI) 2018, Apr 2018, Washington, DC, United States
International audience; Despite the large variability of sulcal folds, their deepest points, namely the sulcal pits, provide a sparse and reproducible description of the cortical surface. Their role during the antenatal and pediatric development of t
Autor:
Irène Kaltenmark, Alain Trouvé
In the field of computational anatomy, the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework has proved to be highly efficient for addressing the problem of modeling and analyzing of the variability of populations of shapes, allowing f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42a99982ec6acbc1b4b7f9cabd833b3f
https://hal.archives-ouvertes.fr/hal-01656670
https://hal.archives-ouvertes.fr/hal-01656670