Akshay Sadananda Uppinakudru Pai

Akshay Sadananda Uppinakudru Pai

Postdoc


Publication year:
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1 - 8 out of 8Page size: 50
  1. 2017
  2. Published

    Hippocampal texture predicts rate of cognitive decline in mild cognitive impairment. / Pai, Akshay Sadananda Uppinakudru; Pillai, Jagan A.; Sørensen, Lauge; Darkner, Sune; Sommer, Stefan Horst; Nielsen, Mads.

    In: Alzheimer's & Dementia, Vol. 13, No. 7, supplement, P4-225, 07.2017, p. P1356.

    Research output: Contribution to journal › Conference abstract in journal › Research

  3. Published

    A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images. / Pai, Akshay Sadananda Uppinakudru; Sommer, Stefan Horst; Raket, Lars Lau; Kühnel, Line; Darkner, Sune; Sørensen, Lauge; Nielsen, Mads.

    Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. ed. / Henning Müller; B. Michael Kelm; Tal Arbel; Weidong Cai; M. Jorge Cardoso; Georg Langs; Bjoern Menze; Dmitris Metaxas; Albert Montillo; William M. Wells; Shaoting Zhang; Albert C. S. Chung; Mark Jenkinson; Annemie Ribbens. Springer, 2017. p. 151-159 (Lecture notes in computer science, Vol. 10081).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    A stochastic large deformation model for computational anatomy. / Arnaudon, Alexis; Holm, Darryl D.; Pai, Akshay Sadananda Uppinakudru; Sommer, Stefan Horst.

    Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Springer, 2017. p. 571-582 (Lecture notes in computer science, Vol. 10265).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Characterization of errors in deep learning-based brain MRI segmentation. / Pai, Akshay Sadananda Uppinakudru; Teng, Yuan-Ching; Blair, Joseph Patrick Michele; Kallenberg, Michiel Gijsbertus J.; Dam, Erik Bjørnager; Sommer, Stefan Horst; Igel, Christian; Nielsen, Mads.

    Deep learning for medical image analysis. ed. / S. Kevin Zhou; Hayit Greenspan; Dinggang Shen. Academic Press, 2017. p. 223–242.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  6. Published

    Deep-learnt classification of light curves. / Mahabal, Ashish; Gieseke, Fabian; Pai, Akshay Sadananda Uppinakudru; Djorgovski, S G ; Drake, A J ; Graham, M J ; CSS/CRTS/PTF Teams.

    2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, 2017. p. 1-8.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry. / Sørensen, Lauge; Igel, Christian; Pai, Akshay Sadananda Uppinakudru; Balas, Ioana; Anker, Cecilie; Lillholm, Martin; Nielsen, Mads.

    In: NeuroImage: Clinical, Vol. 13, 2017, p. 470-482.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Most Likely Separation of Intensity and Warping Effects in Image Registration. / Kuhnel, Line; Sommer, Stefan; Pai, Akshay; Raket, Lars Lau.

    In: S I A M Journal on Imaging Sciences, Vol. 10, No. 2, 2017, p. 578-601.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Separating shape and intensity variation in images. / Kühnel, Line; Sommer, Stefan Horst; Pai, Akshay Sadananda Uppinakudru; Raket, Lars Lau.

    In: SIAM News, Vol. 50, No. 8, 2017, p. 12.

    Research output: Contribution to journal › Journal article › Research

ID: 40089761