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Akshay Sadananda Uppinakudru Pai

Akshay Sadananda Uppinakudru Pai

Postdoc

Medlem af:


  1. 2018
  2. Udgivet

    Collocation for diffeomorphic deformations in medical image registration. / Darkner, Sune; Pai, Akshay Sadananda Uppinakudru; Liptrot, Matthew George; Sporring, Jon.

    I: I E E E Transactions on Pattern Analysis and Machine Intelligence, Bind 40, Nr. 7, 2018, s. 1570-1583.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Robust training of recurrent neural networks to handle missing data for disease progression modeling. / Mehdipour Ghazi, Mostafa; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru; Cardoso, Manuel Jorge; Modat, Marc; Ourselin, Sebastien; Sørensen, Lauge.

    2018. Paper præsenteret ved 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Holland.

    Publikation: KonferencebidragPaperForskning

  4. Udgivet

    Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. / Orbes-Arteaga, Mauricio; Cardoso, Manuel Jorge; Sørensen, Lauge; Modat, Marc; Ourselin, Sebastien; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru.

    2018. Paper præsenteret ved 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Holland.

    Publikation: KonferencebidragPaperForskning

  5. Udgivet

    KNEE SEGMENTATION BY MULTIPLANAR DEEP LEARNING NETWORK – WITH DATA FROM THE OAI. / Perslev, Mathias; Pai, Akshay Sadananda Uppinakudru; Igel, Christian; Dam, Erik Bjørnager.

    2018.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  6. Udgivet

    Classification of Alzheimer and MCI phenotypes on MRI data using SVM. / Alzheimer’s Disease Neuroimaging Initiative.

    Advances in Signal Processing and Intelligent Recognition Systems: Proceedings of 3rd International Symposium on Signal Processing and Intelligent Recognition Systems, SIRS-2017. Springer, 2018. s. 263-275.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. 2017
  8. Udgivet

    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. s. 571-582.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

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

    I: S I A M Journal on Imaging Sciences, Bind 10, Nr. 2, 2017, s. 578-601.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. Udgivet

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

    I: SIAM News, Bind 50, Nr. 8, 2017, s. 12.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

  11. Udgivet

    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. red. / 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. s. 151-159.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  12. Udgivet

    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. red. / S. Kevin Zhou; Hayit Greenspan; Dinggang Shen. Academic Press, 2017. s. 223–242.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

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ID: 40089761