Akshay Sadananda Uppinakudru Pai

Akshay Sadananda Uppinakudru Pai

Postdoc


  1. 2019
  2. Published

    Confidence measures for deep learning in domain adaptation. / Bonechi, Simone; Andreini, Paolo; Bianchini, Monica; Pai, Akshay; Scarselli, Franco.

    In: Applied Sciences (Switzerland), Vol. 9, No. 11, 2192, 2019.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    PADDIT : Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. / Orbes-Ortega, Mauricio ; Sørensen, Lauge; Cardoso , Jorge ; Modat , Marc ; Ourselin, Sebastien; Sommer, Stefan Horst; Nielsen, Mads; Igel, Christian; Pai, Akshay Sadananda Uppinakudru.

    Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 2019.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Training recurrent neural networks robust to incomplete data : application to Alzheimer’s disease progression modeling. / Mehdipour Ghazi, Mostafa; Nielsen, Mads; Pai, Akshay Sadananda Uppinakudru; Cardoso, M. Jorge; Modat, Marc; Ourselin, Sebastien; Sørensen, Lauge.

    In: Medical Image Analysis, Vol. 53, 2019, p. 39-46.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. 2018
  6. Published

    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. p. 263-275 (Advances in Intelligent Systems and Computing, Vol. 678).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

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

    In: I E E E Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 7, 2018, p. 1570-1583.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    HIPPOCAMPAL TEXTURE IN HEALTHY COGNITION AND MILD COGNITIVE IMPAIRMENT : THE IMPACT OF AMYLOID BURDEN AND SEX. / Caldwell, Jessica Z.k.; Pai, Akshay; Sørensen, Lauge; Kaylegian, Jaeson; Cummings, Jeffrey L.; Banks, Sarah Jane.

    In: Alzheimer's & Dementia, Vol. 14, No. 7, P2-426, 2018, p. P874-P875.

    Research output: Contribution to journalConference abstract in journalResearch

  9. Published

    Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI. / Perslev, Mathias; Pai, Akshay Sadananda Uppinakudru; Igel, Christian; Dam, Erik Bjørnager.

    2018. Abstract from 12th International Workshop on Osteoarthritis Imaging, Menton, France.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  10. Published

    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 presented at 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Netherlands.

    Research output: Contribution to conferencePaperResearch

  11. Published

    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 presented at 1st Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, Netherlands.

    Research output: Contribution to conferencePaperResearch

  12. 2017
  13. 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 journalConference abstract in journalResearch

  14. 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 proceedingArticle in proceedingsResearchpeer-review

  15. 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 proceedingArticle in proceedingsResearchpeer-review

  16. 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 proceedingBook chapterResearchpeer-review

  17. 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 proceedingArticle in proceedingsResearchpeer-review

  18. Published
  19. 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 journalJournal articleResearchpeer-review

  20. 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 journalJournal articleResearch

  21. 2016
  22. Published

    Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. / Michalkiewicz, Mateusz Dawid; Pai, Akshay Sadananda Uppinakudru; Leung, Kelvin K.; Sommer, Stefan Horst; Darkner, Sune; Sørensen, Lauge; Sporring, Jon; Nielsen, Mads.

    Medical imaging 2016: Image processing. ed. / Martin A. Styner; Elsa D. Angelini. SPIE - International Society for Optical Engineering, 2016. 978406 (Progress in Biomedical Optics and Imaging).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  23. Published

    Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease. / Pai, Akshay Sadananda Uppinakudru; Sporring, Jon; Darkner, Sune; Dam, Erik Bjørnager; Lillholm, Martin; Jørgensen, Dan; Oh, Joonmi; Chen, Gennan; Suhy, Joyce; Sørensen, Lauge; Nielsen, Mads.

    In: SPIE Journal of Medical Imaging, Vol. 3, No. 1, 014005, 2016.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. Published

    Do dementia biomarkers have a sigmoid trajectory? Insights from non-linear mixed effects modeling. / Pai, Akshay Sadananda Uppinakudru; Sommer, Stefan Horst; Raket, Lars Lau; Sørensen, Lauge; Nielsen, Mads.

    In: Alzheimer's & Dementia, Vol. 12, No. 7, Supplement, O4-09-06, 2016, p. P356.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  25. Published

    Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions. / Pai, Akshay Sadananda Uppinakudru; Sommer, Stefan Horst; Sørensen, Lauge; Darkner, Sune; Sporring, Jon; Nielsen, Mads.

    In: IEEE transactions on medical imaging, Vol. 35, No. 6, 2016, p. 1369-1380.

    Research output: Contribution to journalJournal articleResearchpeer-review

  26. 2015
  27. Published

    Adaptive time-stepping in dieomorphic image registration with bounded inverse consistency error. / Pai, Akshay Sadananda Uppinakudru; Klein, Stefan; Sommer, Stefan Horst; Sørensen, Lauge; Darkner, Sune; Sporring, Jon; Nielsen, Mads.

    Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015) . INRIA, 2015. p. 35-47.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  28. Published

    Adaptive time-stepping in diffeomorphic image registration with bounded inverse consistency error. / Pai, Akshay Sadananda Uppinakudru; Klein, Stefan; Sommer, Stefan Horst; Sørensen, Lauge Emil Borch Laurs; Darkner, Sune; Sporring, Jon; Nielsen, Mads.

    The 18th International Conference on Medical Image Computing and Computer Assisted Intervention: proceedings. Technische Universität München , 2015. p. 35-47.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  29. Published

    Comparison of several computational pipelines for atrophy computation in longitudinal Alzheimers studies. / Pai, Akshay Sadananda Uppinakudru; Sommer, Stefan Horst; Darkner, Sune; Sørensen, Lauge Emil Borch Laurs; Sporring, Jon; Nielsen, Mads.

    2015. Abstract from 101st Scientific Assembly and Annual Meeting of the Radiological Society of North America , Chicago, United States.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  30. Published

    Deformation-Based Atrophy Estimation for Alzheimer’s Disease. / Pai, Akshay Sadananda Uppinakudru.

    Department of Computer Science, Faculty of Science, University of Copenhagen, 2015. 140 p.

    Research output: Book/ReportPh.D. thesisResearch

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