xfj310 xfj310

xfj310 xfj310

Associate Professor


  1. 2020
  2. Published

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    xfj310, xfj310, Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, In : American Journal of Roentgenology. 214, 6, p. 1269-1279

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. 2019
  4. Published

    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. (eds.). Springer VS, p. 68-76 9 p. (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

  5. Published

    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 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  6. Published

    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. (eds.). Springer VS, p. 54-62 9 p. (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

  7. Published

    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. (eds.). Springer VS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11953 LNCS).

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

  8. Published

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., xfj310, xfj310, Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, Akshay Sadananda Uppinakudru, 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.

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

  9. Published

    The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., xfj310, xfj310, Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, In : Neurobiology of Aging. 81, p. 58-66

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. 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. J., Modat, M., Ourselin, S. & xfj310, xfj310, 2019, In : Medical Image Analysis. 53, p. 39-46

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. 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

    xfj310, xfj310, Pai, Akshay Sadananda Uppinakudru, Nielsen, Mads, Leverenz, J. B. & Pillai, J. A., 2019, In : Alzheimer's & Dementia. 15, 7, p. P1420 1 p., P4-326.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  12. 2018
  13. Published

    Transfer learning for multicenter classification of chronic obstructive pulmonary disease

    Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., xfj310, xfj310 & de Bruijne, Marleen, Sep 2018, In : IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1486 - 1496

    Research output: Contribution to journalJournal articleResearchpeer-review

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