Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. 2020
  2. Udgivet

    Impact of adding breast density to breast cancer risk models: A systematic review

    Vilmun, B. M., Vejborg, I., Lynge, Elsebeth, Lillholm, Martin, Nielsen, Mads, Nielsen, Michael Bachmann & Carlsen, Jonathan Frederik, jun. 2020, I : European Journal of Radiology. 127, 9 s., 109019.

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  3. 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. (arXiv).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    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, I : American Journal of Roentgenology. 214, 6, s. 1269-1279

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. 2019
  6. Udgivet

    Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies

    Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 jan. 2019, I : IEEE transactions on medical imaging. 38, 7, s. 1559-1568 8599009.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  7. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  8. Udgivet

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants

    Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, I : International Journal of Cancer. 145, 11, s. 2954-2962 9 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. 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: Konferencebidrag › Konferenceabstrakt til konference › Forskning

  10. Udgivet

    Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk

    Dench, E., Bond-smith, D., Darcey, E., Lee, G., Aung, Y. K., Chan, A., Cuzick, J., Ding, Z. Y., Evans, C. F., Harvey, J., Highnam, R., Hsieh, M., Kontos, D., Li, S., Mariapun, S., Nickson, C., Nguyen, T. L., Pertuz, S., Procopio, P., Rajaram, N., Repich, K., Tan, M., Teo, S., Trinh, N. H., Ursin, G., Wang, C., Dos-santos-silva, I., Mccormack, V., Nielsen, Mads, Shepherd, J., Hopper, J. L. & Stone, J., 2019, I : BMJ Open. 9, 12, s. 1-6 e031041.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  12. 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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