Deep Multi-Structural Shape Analysis: Application to Neuroanatomy

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1995

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Thompson, P.M., Hayashi, K.M., De Zubicaray, G.I., Janke, A.L., Rose, S.E., Semple, J., et al.: Mapping hippocampal and ventricular change in alzheimer disease. Neuroimage 22(4), 1754–1766 (2004)

2004

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Gorczowski, K., Styner, M., Jeong, J.Y., Marron, J., Piven, J., Hazlett, H.C., Pizer, S.M., Gerig, G.: Statistical shape analysis of multi-object complexes. In: Computer Vision and Pattern Recognition, 2007. pp. 1–8 (2007)

2007

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Jack, C.R., Bernstein, M.A., Fox, N.C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P.J., L Whitwell, J., Ward, C., et al.: The alzheimer’s disease neuroimaging initiative (adni): Mri methods. Journal of magnetic resonance imaging 27(4), 685–691 (2008)

2008

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Gerardin, E., Chételat, G., Chupin, M., Cuingnet, R., Desgranges, B., Kim, H.S., Niethammer, M., Dubois, B., Lehéricy, S., Garnero, L., et al.: Multidimensional classification of hippocampal shape features discriminates alzheimer’s disease and mild cognitive impairment from normal aging. Neuroimage 47(4), 1476–1486 (2009)

2009

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Costafreda, S.G., Dinov, I.D., Tu, Z., Shi, Y., Liu, C.Y., Kloszewska, I., Mecocci, P., Soininen, H., Tsolaki, M., Vellas, B., et al.: Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment. Neuroimage 56(1), 212–219 (2011)

2011

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Fischl, B., et al.: Freesurfer. Neuroimage 62(2), 774–781 (2012)

2012

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Shen, K.k., Fripp, J., Mériaudeau, F., Chételat, G., Salvado, O., Bourgeat, P.: Detecting global and local hippocampal shape changes in alzheimer’s disease using statistical shape models. Neuroimage 59(3), 2155–2166 (2012)

2012

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Kim, W.H., Singh, V., Chung, M.K., Hinrichs, C., Pachauri, D., et al.: Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage pp. 107 – 123 (2014)

2014

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Miller, M.I., Younes, L., Trouvé, A.: Diffeomorphometry and geodesic positioning systems for human anatomy. Technology 2(01), 36–43 (2014)

2014

Cited alongside, same era.

Wachinger, C., Golland, P., Kremen, W., Fischl, B., Reuter, M.: BrainPrint: A discriminative characterization of brain morphology. Neuroimage 109, 232–248 (2015)

Shakeri, M., Lombaert, H., Tripathi, S., Kadoury, S.: Deep spectral-based shape features for alzheimer’s disease classification. In: International Workshop on Spectral and Shape Analysis in Medical Imaging. pp. 15–24. Springer (2016)

2016

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Wachinger, C., Reuter, M., Initiative, A.D.N., et al.: Domain adaptation for alzheimer’s disease diagnostics. Neuroimage 139, 470–479 (2016)

2016

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Bronstein, M.M., Bruna, J., LeCun, Y., Szlam, A., Vandergheynst, P.: Geometric deep learning: going beyond euclidean data. IEEE Signal Processing Magazine 34(4), 18–42 (2017)

2017

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Litjens, G., Kooi, T., Bejnordi, B.E., Setio, A.A.A., Ciompi, F., Ghafoorian, M., van der Laak, J.A., van Ginneken, B., Sánchez, C.I.: A survey on deep learning in medical image analysis. Medical image analysis 42, 60–88 (2017)

2017

Later among the works it cites.