Mads Nielsen

Mads Nielsen

Professor


  1. Udgivet

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants. / Napolitano, George Maria; Lynge, Elsebeth; Lillholm, Martin; Vejborg, Ilse Merete Munk; van Gils, Carla H; Nielsen, Mads; Karssemeijer, Nico.

    I: International Journal of Cancer, Bind 145, Nr. 11, 2019, s. 2954-2962.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies. / Petersen, Jens; Arias-Lorza, Andres M; Selvan, Raghavendra; Bos, Daniel; van der Lugt, Aad; Pedersen, Jesper H; Nielsen, Mads; de Bruijne, Marleen.

    I: IEEE transactions on medical imaging, Bind 38, Nr. 7, 8599009, 01.01.2019, s. 1559-1568.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    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. red. / Luping Zhou; Duygu Sarikaya; Seyed Mostafa Kia; Stefanie Speidel; Anand Malpani; Daniel Hashimoto; Mohamad Habes; Tommy Löfstedt; Kerstin Ritter; Hongzhi Wang. Springer VS, 2019. s. 68-76 (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

  4. Udgivet

    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. red. / 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. s. 54-62 (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

  5. Udgivet

    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.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Sensitivity of screening mammography by density and texture : a cohort study from a population-based screening program in Denmark. / von Euler-Chelpin, My; Lillholm, Martin; Vejborg, Ilse; Nielsen, Mads; Lynge, Elsebeth.

    I: Breast Cancer Research, Bind 21, Nr. 1, 2019.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    The value of hippocampal volume, shape, and texture for 11-year prediction of dementia : a population-based study. / Achterberg, Hakim C.; Sørensen, Lauge; Wolters, Frank J.; Niessen, Wiro J.; Vernooij, Meike W.; Ikram, M. Arfan; Nielsen, Mads; de Bruijne, Marleen.

    I: Neurobiology of Aging, Bind 81, 2019, s. 58-66.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  8. Udgivet

    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.

    I: Medical Image Analysis, Bind 53, 2019, s. 39-46.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    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.

    I: Alzheimer's & Dementia, Bind 15, Nr. 7, P4-326, 2019, s. P1420.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

ID: 542361