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A. Jlassi et al.
References
1. Hofer, S., Frahm, J.: Topography of the human corpus callosum revisited–
comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage 32(3), 989–994 (2006)
2. Lacerda, A., Brambilla, P., Sassi, R., Nicoletti, M.: Anatomical MRI study of
corpus callosum in unipolar depression. J. Psychiatr. Res. 39(4), 347–354 (2005)
3. Witelson, S., Goldsmith, C.: The relationship of hand preference to anatomy of
the corpus callosum in men. Brain Res. 545(1–2), 175–182 (1991)
4. El-Baz, A., Elnakib, A., Casanova, M.: Accurate automated detection of autism
related corpus callosum abnormalities. J. Med. Syst. 35(5), 929–939 (2011)
5. Johnson, S., Farnworth, T., Pinkston, J.: Corpus callosum surface area across the
human adult life span: effect of age and gender. Brain Res. Bull. 35(4), 373–377
(1994)
6. Van Schependom, J., Niemantsverdriet, E.: Callosal circularity as an early marker
for Alzheimer’s disease. NeuroImage Clin. 19(1), 516–526 (2018)
7. Bachman, A., Lee, S., Sidtis, J.: Corpus callosum shape and size changes in early
Alzheimer’s disease: a longitudinal MRI study using the OASIS brain database. J.
Alzheimers Dis. 39(1), 71–78 (2014)
8. Giuliano, A., Saviozzi, I., Brambilla, P.: The effect of age, sex and clinical features on the volume of Corpus Callosum in pre-schoolers with Autism Spectrum
Disorder: a case-control study. Eur. J. Neurosci. 47(6), 568–578 (2018)
9. Bledsoe, I., Stebbins, G.: White matter abnormalities in the corpus callosum with
cognitive impairment in Parkinson disease. Neurology 91(24), e2244–e2255 (2018)
10. Domin, M., Lotze, M.: Parcellation of motor cortex-associated regions in the human
corpus callosum on the basis of Human Connectome Project data. Brain Struct.
Funct. 224(4), 1447–1455 (2019). https://doi.org/10.1007/s00429-019-01849-1
11. Anand, C., Brandmaier, A., Arshad, M.: White-matter microstructural properties
of the corpus callosum: test-retest and repositioning effects in two parcellation
schemes. Brain Struct. Funct. 224(9), 3373–3385 (2019)
12. Cover, G., Pereira, M., Bento, M.: Data-driven corpus callosum parcellation
method through diffusion tensor imaging. IEEE Access 5(1), 22421–22432 (2017)
13. Cover, G., Herrera, W., Bento, M.: Computational methods for corpus callosum
segmentation on MRI: a systematic literature review. Comput. Methods Programs
Biomed. 154(1), 25–35 (2018)
14. Achanta, R., Shaji, A.: SLIC superpixels compared to state-of-the-art superpixel
methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274–2282 (2012)
15. Rittner, L., Freitas, P.: Automatic DTI-based parcellation of the corpus callosum through the watershed transform. Revista Brasileira de Engenharia Biomedica
30(2), 132–143 (2014)
16. Witelson, S.: Hand and sex differences in the isthmus and genu of the human corpus
callosum: a postmortem morphological study. Brain 112(3), 799–835 (1989)
17. Jlassi, A., ElBedoui, K., Barhoumi, W., Maktouf, C.H.: Unsupervised method
based on probabilistic neural network for the segmentation of corpus callosum in
MRI scans. the 14th International Joint Conference on Computer Vision, Imaging
and Computer Graphics Theory and Applications, no. 4, pp. 790–798 (2019)
A. Jlassi et al.
References
1. Hofer, S., Frahm, J.: Topography of the human corpus callosum revisited–
comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage 32(3), 989–994 (2006)
2. Lacerda, A., Brambilla, P., Sassi, R., Nicoletti, M.: Anatomical MRI study of
corpus callosum in unipolar depression. J. Psychiatr. Res. 39(4), 347–354 (2005)
3. Witelson, S., Goldsmith, C.: The relationship of hand preference to anatomy of
the corpus callosum in men. Brain Res. 545(1–2), 175–182 (1991)
4. El-Baz, A., Elnakib, A., Casanova, M.: Accurate automated detection of autism
related corpus callosum abnormalities. J. Med. Syst. 35(5), 929–939 (2011)
5. Johnson, S., Farnworth, T., Pinkston, J.: Corpus callosum surface area across the
human adult life span: effect of age and gender. Brain Res. Bull. 35(4), 373–377
(1994)
6. Van Schependom, J., Niemantsverdriet, E.: Callosal circularity as an early marker
for Alzheimer’s disease. NeuroImage Clin. 19(1), 516–526 (2018)
7. Bachman, A., Lee, S., Sidtis, J.: Corpus callosum shape and size changes in early
Alzheimer’s disease: a longitudinal MRI study using the OASIS brain database. J.
Alzheimers Dis. 39(1), 71–78 (2014)
8. Giuliano, A., Saviozzi, I., Brambilla, P.: The effect of age, sex and clinical features on the volume of Corpus Callosum in pre-schoolers with Autism Spectrum
Disorder: a case-control study. Eur. J. Neurosci. 47(6), 568–578 (2018)
9. Bledsoe, I., Stebbins, G.: White matter abnormalities in the corpus callosum with
cognitive impairment in Parkinson disease. Neurology 91(24), e2244–e2255 (2018)
10. Domin, M., Lotze, M.: Parcellation of motor cortex-associated regions in the human
corpus callosum on the basis of Human Connectome Project data. Brain Struct.
Funct. 224(4), 1447–1455 (2019). https://doi.org/10.1007/s00429-019-01849-1
11. Anand, C., Brandmaier, A., Arshad, M.: White-matter microstructural properties
of the corpus callosum: test-retest and repositioning effects in two parcellation
schemes. Brain Struct. Funct. 224(9), 3373–3385 (2019)
12. Cover, G., Pereira, M., Bento, M.: Data-driven corpus callosum parcellation
method through diffusion tensor imaging. IEEE Access 5(1), 22421–22432 (2017)
13. Cover, G., Herrera, W., Bento, M.: Computational methods for corpus callosum
segmentation on MRI: a systematic literature review. Comput. Methods Programs
Biomed. 154(1), 25–35 (2018)
14. Achanta, R., Shaji, A.: SLIC superpixels compared to state-of-the-art superpixel
methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274–2282 (2012)
15. Rittner, L., Freitas, P.: Automatic DTI-based parcellation of the corpus callosum through the watershed transform. Revista Brasileira de Engenharia Biomedica
30(2), 132–143 (2014)
16. Witelson, S.: Hand and sex differences in the isthmus and genu of the human corpus
callosum: a postmortem morphological study. Brain 112(3), 799–835 (1989)
17. Jlassi, A., ElBedoui, K., Barhoumi, W., Maktouf, C.H.: Unsupervised method
based on probabilistic neural network for the segmentation of corpus callosum in
MRI scans. the 14th International Joint Conference on Computer Vision, Imaging
and Computer Graphics Theory and Applications, no. 4, pp. 790–798 (2019)