Akshay Sadananda Uppinakudru Pai

Akshay Sadananda Uppinakudru Pai

Postdoc


  1. 2019
  2. Published

    Knowledge Distillation for Semi-supervised Domain Adaptation. / Orbes-Arteaga, Mauricio; Cardoso, Jorge; Sørensen, Lauge; Igel, Christian; Ourselin, Sebastien; Modat, Marc; Nielsen, Mads; Pai, Akshay.

    OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. ed. / Luping Zhou; Duygu Sarikaya; Seyed Mostafa Kia; Stefanie Speidel; Anand Malpani; Daniel Hashimoto; Mohamad Habes; Tommy Löfstedt; Kerstin Ritter; Hongzhi Wang. Springer VS, 2019. p. 68-76 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).

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

  3. 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

  4. Published

    Multi-domain adaptation in brain MRI through paired consistency and adversarial learning. / Orbes-Arteaga, Mauricio; Varsavsky, Thomas; Sudre, Carole H.; Eaton-Rosen, Zach; Haddow, Lewis J.; Sørensen, Lauge; Nielsen, Mads; Pai, Akshay; Ourselin, Sébastien; Modat, Marc; Nachev, Parashkev; Cardoso, M. Jorge.

    Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. ed. / Qian Wang; Fausto Milletari; Nicola Rieke; Hien V. Nguyen; Badri Roysam; Shadi Albarqouni; M. Jorge Cardoso; Ziyue Xu; Konstantinos Kamnitsas; Vishal Patel; Steve Jiang; Kevin Zhou; Khoa Luu; Ngan Le. Springer VS, 2019. p. 54-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11795 LNCS).

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

  5. Published

    PADDIT : Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. / Orbes-Arteaga, 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

  6. 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

  7. Published

    UNSUPERVISED MACHINE LEARNING ON BASELINE BRAIN MRI IDENTIFIES MCI SUBGROUP WITH A FASTER DECLINE OVER TWO YEARS COMPARED TO CLASSICAL HIPPOCAMPAL SPARING AD SUBTYPE. / Sørensen, Lauge; Pai, Akshay; Nielsen, Mads; Leverenz, James B.; Pillai, Jagan A.

    In: Alzheimer's & Dementia, Vol. 15, No. 7, P4-326, 2019, p. P1420.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  8. 2018
  9. 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

  10. 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

  11. 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

  12. 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

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