Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. 2023
  2. Udgivet

    Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Nielsen, Mads, Sommer, Stefan Horst & Pai, A. S. U., 2023, Medical Applications with Disentanglements : First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, s. 49-58 (Lecture Notes in Computer Science, Bind 13823).

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

  3. Udgivet

    Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction

    Pegios, P., Sejer, E. P. F., Lin, M., Bashir, Z., Svendsen, M. B. S., Nielsen, Mads, Petersen, E., Christensen, A. N., xgz472, xgz472 & Feragen, A., 2023, Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Proceedings. Kainz, B., Müller, J. P., Kainz, B., Noble, A., Schnabel, J., Khanal, B. & Day, T. (red.). Springer, s. 57-67 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14337 LNCS).

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

  4. Udgivet

    Active Transfer Learning for 3D Hippocampus Segmentation

    Wu, J., Kang, Z., Llambias, Sebastian Nørgaard, Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (red.). Springer, s. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14307 LNCS).

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

  5. 2024
  6. Udgivet

    Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis

    Bojsen, J. A., Elhakim, M. T., Graumann, O., Gaist, D., Nielsen, Mads, Harbo, F. S. G., Krag, C. H., Sagar, M. V., Kruuse, Christina Rostrup, Boesen, Mikael Ploug & Rasmussen, B. S. B., 2024, I: Insights into Imaging. 15, 1, 13 s., 160.

    Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt

  7. Udgivet

    An assessment of the value of deep neura networks in genetic risk prediction for surgically relevant outcomes

    Christensen, M. A., Sigurdsson, Arnór Ingi, Bonde, A., Rasmussen, Simon, Ostrowski, Sisse Rye, Nielsen, Mads & Sillesen, Martin Hylleholt, 2024, I: PLoS ONE. 19, 7, e0294368.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. Udgivet

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2024, I: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, s. 792-802

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  9. Udgivet

    Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms

    Kühl, J., Elhakim, M. T., Stougaard, S. W., Rasmussen, B. S. B., Nielsen, Mads, Gerke, O., Larsen, L. B. & Graumann, O., 2024, I: European Radiology. 34, s. 3935–3946

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. Udgivet

    Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer

    Lauritzen, Andreas, Lillholm, Martin, Lynge, Elsebeth, Nielsen, Mads, Karssemeijer, N. & Vejborg, I., 2024, I: Radiology. 311, 3, 9 s., e232479.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  11. Udgivet

    Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification

    Llambias, Sebastian Nørgaard, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, s. 138-144 (Proceedings of Machine Learning Research, Bind 233).

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

  12. Udgivet

    Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts

    Mehdipour Ghazi, Mostafa, Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, Mads, 2024, I: Frontiers in Aging Neuroscience. 16, 1345417.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

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