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Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study
Kebiri Hamza, Gholipour Ali, Vasung Lana, Lin Rizhong, Krsnik Željka, Karimi Davood, Bach Cuadra Meritxell.
Deep learning microstructure estimation of developing brains from diffusion MRI: a newborn and fetal study
Kebiri Hamza, Gholipour Ali, Vasung Lana, Lin Rizhong, Krsnik Željka, Karimi Davood, Bach Cuadra Meritxell.
Biometry and volumetry in multi-centric fetal brain MRI: assessing the bias of super-resolution reconstruction
Sanchez Thomas, Mihailov Angeline, Koob Mériam, Girard Nadine, Manchon Aurélie, Valenzuela Ignacio, Gómez-Chiari Marta, Martí Juan Gerard, Pron Alexandre, Eixarch Elisenda et al..
Biometry and volumetry in multi-centric fetal brain MRI: assessing the bias of super-resolution reconstruction
Sanchez Thomas, Mihailov Angeline, Koob Mériam, Girard Nadine, Manchon Aurélie, Valenzuela Ignacio, Gómez-Chiari Marta, Martí Juan Gerard, Pron Alexandre, Eixarch Elisenda et al..
A roadmap towards standardized neuroimaging approaches for human thalamic nuclei.
Segobin S., Haast RAM, Kumar V.J., Lella A., Alkemade A., Bach Cuadra M., Barbeau E.J., Felician O., Pergola G., Pitel A.L. et al., 2024/12. Nature reviews. Neuroscience, 25 (12) pp. 792-808. Peer-reviewed.
A roadmap towards standardized neuroimaging approaches for human thalamic nuclei.
Segobin S., Haast RAM, Kumar V.J., Lella A., Alkemade A., Bach Cuadra M., Barbeau E.J., Felician O., Pergola G., Pitel A.L. et al., 2024/12. Nature reviews. Neuroscience, 25 (12) pp. 792-808. Peer-reviewed.
FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Sanchez T., Esteban O., Gomez Y., Pron A., Koob M., Dunet V., Girard N., Jakab A., Eixarch E., Auzias G. et al., 2024/10. Medical image analysis, 97 p. 103282. Peer-reviewed.
FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Sanchez T., Esteban O., Gomez Y., Pron A., Koob M., Dunet V., Girard N., Jakab A., Eixarch E., Auzias G. et al., 2024/10. Medical image analysis, 97 p. 103282. Peer-reviewed.
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Kebiri H., Gholipour A., Lin R., Vasung L., Calixto C., Krsnik Ž., Karimi D., Bach Cuadra M., 2024/07. Medical image analysis, 95 p. 103186. Peer-reviewed.
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Kebiri H., Gholipour A., Lin R., Vasung L., Calixto C., Krsnik Ž., Karimi D., Bach Cuadra M., 2024/07. Medical image analysis, 95 p. 103186. Peer-reviewed.
Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation.
Vidal J.P., Danet L., Péran P., Pariente J., Bach Cuadra M., Zahr N.M., Barbeau E.J., Saranathan M., 2024/06. Brain structure & function, 229 (5) pp. 1087-1101. Peer-reviewed.
Robust thalamic nuclei segmentation from T1-weighted MRI using polynomial intensity transformation.
Vidal J.P., Danet L., Péran P., Pariente J., Bach Cuadra M., Zahr N.M., Barbeau E.J., Saranathan M., 2024/06. Brain structure & function, 229 (5) pp. 1087-1101. Peer-reviewed.
Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging.
Lamon S., de Dumast P., Sanchez T., Dunet V., Pomar L., Vial Y., Koob M., Bach Cuadra M., 2024. Frontiers in neurology, 15 p. 1358741. Peer-reviewed.
Assessment of fetal corpus callosum biometry by 3D super-resolution reconstructed T2-weighted magnetic resonance imaging.
Lamon S., de Dumast P., Sanchez T., Dunet V., Pomar L., Vial Y., Koob M., Bach Cuadra M., 2024. Frontiers in neurology, 15 p. 1358741. Peer-reviewed.
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data
Zalevskyi Vladyslav, Sanchez Thomas, Roulet Margaux, Aviles Verdera Jordina, Hutter Jana, Kebiri Hamza, Bach Cuadra Meritxell, 2024. pp. 437-447 dans Lecture Notes in Computer Science, Springer Nature Switzerland.
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data
Zalevskyi Vladyslav, Sanchez Thomas, Roulet Margaux, Aviles Verdera Jordina, Hutter Jana, Kebiri Hamza, Bach Cuadra Meritxell, 2024. pp. 437-447 dans Lecture Notes in Computer Science, Springer Nature Switzerland.
Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability.
de Matos K., Cury C., Chougar L., Strike L.T., Rolland T., Riche M., Hemforth L., Martin A., Banaschewski T., Bokde ALW et al., 2023/07. Brain structure & function, 228 (6) pp. 1459-1478. Peer-reviewed.
Temporo-basal sulcal connections: a manual annotation protocol and an investigation of sexual dimorphism and heritability.
de Matos K., Cury C., Chougar L., Strike L.T., Rolland T., Riche M., Hemforth L., Martin A., Banaschewski T., Bokde ALW et al., 2023/07. Brain structure & function, 228 (6) pp. 1459-1478. Peer-reviewed.
BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development.
Sainz Martinez C., Bach Cuadra M., Jorge J., 2023/06. NeuroImage, 273 p. 120074. Peer-reviewed.
BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development.
Sainz Martinez C., Bach Cuadra M., Jorge J., 2023/06. NeuroImage, 273 p. 120074. Peer-reviewed.