Akshay Sadananda Uppinakudru Pai

Akshay Sadananda Uppinakudru Pai

Postdoc


  1. 2021
  2. Udgivet

    Robust parametric modeling of Alzheimer's disease progression

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat, M., Jorge Cardoso, M., Ourselin, S. & xfj310, xfj310, 2021, I : NeuroImage. 225, 12 s., 117460.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. 2020
  4. Udgivet

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 20 maj 2020, ICML Workshop on Learning with Missing Values. 7 s. (arXiv).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

    Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, Mathias, Pai, Akshay Sadananda Uppinakudru, Igel, Christian, Dam, Erik Bjørnager, Gaj, S., Yang, M., Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 29 apr. 2020, I : arXiv. 18 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskning

  6. Udgivet

    Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease

    Pillai, J. A., Bena, J., Bebek, G., Bekris, L. M., Bonner-Jackson, A., Kou, L., Pai, Akshay Sadananda Uppinakudru, xfj310, xfj310, Nielsen, Mads, Rao, S. M., Chance, M., Lamb, B. T. & Leverenz, J. B., 2020, I : Annals of Clinical and Translational Neurology. 7, 7, s. 1225-1239 15 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    Uncertainty quantification in medical image segmentation with normalizing flows

    Selvan, Raghav, Faye, F., Middleton, Jon Anthony & Pai, Akshay Sadananda Uppinakudru, 2020, Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Springer, 12 s. (Lecture Notes in Computer Science, Bind 12436).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. 2019
  9. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., xfj310, xfj310, Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, Akshay Sadananda Uppinakudru, 1 jan. 2019, 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. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Confidence measures for deep learning in domain adaptation

    Bonechi, S., Andreini, P., Bianchini, M., Pai, Akshay Sadananda Uppinakudru & Scarselli, F., 2019, I : Applied Sciences. 9, 11, 14 s., 2192.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. Udgivet

    MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat , M., Cardoso , J., Ourselin, S. & xfj310, xfj310, 2019. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskning

  12. Udgivet

    Multi-domain adaptation in brain MRI through paired consistency and adversarial learning

    Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., xfj310, xfj310, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, 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. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (red.). Springer VS, s. 54-62 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11795 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. Udgivet

    On the initialization of long short-term memory networks

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay Sadananda Uppinakudru, Modat, M., Cardoso, M. J., Ourselin, S. & xfj310, xfj310, 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (red.). Springer VS, s. 275-286 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11953 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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