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Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model.

, , , , , , , and . IEEE Trans. Biomed. Engineering, 62 (2): 532-540 (2015)

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Automatic brain extraction in fetal MRI using multi-atlas-based segmentation., , , , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94130Y. SPIE, (2015)A Surface-Based Approach to Quantify Local Cortical Gyrification., , , , , and . IEEE Trans. Med. Imaging, 27 (2): 161-170 (2008)Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling., , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 142-149. Springer, (2017)Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis., , , , , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 142-151. Springer, (2018)Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth., , , , , , and . MICCAI (1), volume 2488 of Lecture Notes in Computer Science, page 380-387. Springer, (2002)Towards a diffusion image processing validation and accuracy prediction framework., , , , , , and . ICIP, page 2269-2272. IEEE, (2011)Comparison of energy minimization methods for 3-D brain tissue classification., , and . ICIP, page 57-60. IEEE, (2011)Dense deformation field estimation for atlas-based segmentation of pathological MR brain images., , , , , and . Computer Methods and Programs in Biomedicine, 84 (2-3): 66-75 (2006)A review of atlas-based segmentation for magnetic resonance brain images., , , , and . Computer Methods and Programs in Biomedicine, 104 (3): 158- (2011)Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project., , , , , and . Front. Neuroinform., (2016)