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Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality

Madan, C. R. (2021) · Aging Brain · doi:10.1016/j.nbas.2021.100016 · Cited by 3

Prediction of Psychosis Through the Prodromal Syndrome

Cannon, T. D. (2009) · Springer eBooks · doi:10.1007/978-1-4419-0913-8_13 · Cited by 3

Structural and functional changes underlying cognitive aging : evidence from neuroimaging studies

Tisserand, D. J. (2003) · doi:10.26481/dis.20030206dt · Cited by 3

Statistical shape analysis for bio-structures : local shape modelling, techniques and applications

Amaro, V., & Alejandro, D. (2009) · Warwick Research Archive Portal (University of Warwick) · Cited by 3

New directions in structural imaging

Chitnis, X. A., & Ellison-Wright, I. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511550072.006 · Cited by 3

Genes, hypoxia and schizophrenia

Cannon, T. D. (2006) · CRC Press eBooks · doi:10.1201/b14457-16 · Cited by 2

A denoising tool for the reconstruction of cortical geometries from MRI

Dassi, F., Kroos, J. M., Gerardo‐Giorda, L., & Perotto, S. (2021) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2021.07.020 · Cited by 2

Searching for activations that generalize over tasks

Shulman, G. L., Corbetta, M., Fiez, J. A., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1997)5:4 · Cited by 85

Detection and Statistical Analysis of Human Cortical Sulci

Royackkers, N., Desvignes, M., Fawal, H., & Revenu, M. (1999) · NeuroImage · doi:10.1006/nimg.1999.0512 · Cited by 28

A Quantitative Approach to Spatial Variation of Human Cerebral Sulci

von Keyserlingk, Niemann, K., & Wasel, J. (1988) · Cells Tissues Organs · doi:10.1159/000146499 · Cited by 23

Variation of the major sulci of the occipital lobe - A morphological study

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Occipital sulci of the human brain: variability and morphometry

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