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Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.

L. Xie, J. Pluta, S. Das, L. Wisse, H. Wang, L. Mancuso, D. Kliot, B. Avants, S. Ding, J. Manjón, D. Wolk, and P. Yushkevich. NeuroImage, (2017)

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M E Hammadeh

Claudia Wisse

Mario Laura

Marco Laurati

Marion Wisse

Other publications of authors with the same name

DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease.M. Dong, L. Xie, S. Das, J. Wang, L. Wisse, R. DeFlores, D. Wolk, and P. Yushkevich. NeuroImage, (2021)Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline.L. Xie, L. Wisse, J. Wang, S. Ravikumar, T. Glenn, A. Luther, S. Lim, D. Wolk, and P. Yushkevich. IPMI, volume 12729 of Lecture Notes in Computer Science, page 428-439. Springer, (2021)Deep label fusion: A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation.L. Xie, L. Wisse, J. Wang, S. Ravikumar, P. Khandelwal, T. Glenn, A. Luther, S. Lim, D. Wolk, and P. Yushkevich. Medical Image Anal., (2023)Characterizing Anatomical Variability and Alzheimer's Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting.L. Xie, L. Wisse, S. Das, R. Ittyerah, J. Wang, D. Wolk, and P. Yushkevich. ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 28-37. Springer, (2018)DeepAtrophy: Teaching a Neural Network to Differentiate Progressive Changes from Noise on Longitudinal MRI in Alzheimer's Disease.M. Dong, L. Xie, S. Das, J. Wang, L. Wisse, R. DeFlores, D. Wolk, and P. Yushkevich. CoRR, (2020)Regional Deep Atrophy: a Self-Supervised Learning Method to Automatically Identify Regions Associated With Alzheimer's Disease Progression From Longitudinal MRI.M. Dong, L. Xie, S. Das, J. Wang, L. Wisse, R. DeFlores, D. Wolk, and P. Yushkevich. CoRR, (2023)Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.D. Adler, L. Wisse, R. Ittyerah, J. Pluta, S. Ding, L. Xie, J. Wang, S. Kadivar, J. Robinson, T. Schuck and 11 other author(s). Proc. Natl. Acad. Sci. USA, 115 (16): 4252-4257 (2018)3D Mapping of TAU Neurofibrillary Tangle Pathology in the Human Medial Temporal Lobe.P. Yushkevich, M. de Onzoño Martin, R. Ittyerah, S. Lim, M. Lavery, J. Wang, L. Hung, N. Vergnet, S. Ravikumar, L. Xie and 23 other author(s). ISBI, page 1312-1316. IEEE, (2020)Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided Interpolation.S. Ravikumar, L. Wisse, Y. Gao, G. Gerig, and P. Yushkevich. ISBI, page 714-718. IEEE, (2019)Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology.S. Ravikumar, L. Wisse, R. Ittyerah, S. Lim, M. Lavery, L. Xie, J. Robinson, T. Schuck, M. Grossman, E. Lee and 16 other author(s). ISBI, page 113-117. IEEE, (2020)

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Disambiguation of "Wisse, Laura E. M."

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Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.

Please choose a person to relate this publication to

M E Hammadeh

Claudia Wisse

Mario Laura

Marco Laurati

Marion Wisse

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wisse, Laura E. M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.

Please choose a person to relate this publication to

M E Hammadeh

Claudia Wisse

Mario Laura

Marco Laurati

Marion Wisse

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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Multi-template analysis of human perirhinal cortex in brain MRI: Explicitly accounting for anatomical variability.