Mads Nielsen
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 2023
- Udgivet
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Ferrer, N. R., Vendela Sagar, M., Klein, Kiril Vadimovic, Kruuse, Christina Rostrup, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, s. 1-4 4 s. (Proceedings - International Symposium on Biomedical Imaging, Bind 2023-April).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Online transfer learning with partial feedback
Kang, Z., Nielsen, Mads, Yang, B., Deng, L. & Lorenzen, S. S., 2023, I: Expert Systems with Applications. 212, 13 s., 118738.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Partial feedback online transfer learning with multi-source domains
Kang, Z., Nielsen, Mads, Yang, B. & Mehdipour Ghazi, Mostafa, 2023, I: Information Fusion. 89, s. 29-40Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center
Krag, C. H., Müller, F. C., Gandrup, K. L., Raaschou, H., Andersen, Michael Brun, Brejnebøl, M. W., Sagar, M. V., Bojsen, J. A., Rasmussen, B. S., Graumann, O., Nielsen, Mads, Kruuse, Christina Rostrup & Boesen, Mikael Ploug, 2023, I: European Journal of Radiology. 168, 8 s., 111126.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders
Laprade, W. M., Westergaard, Jesper Cairo, Nielsen, J., Nielsen, Mads & Dahl, A. B., 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J-K. (red.). Springer, s. 191-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13886 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, I: Radiology. 308, 2, 8 s., e230227.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, I: Journal of Medical Imaging. 10, 5, s. 1-16 054003.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Breast density and risk of breast cancer
Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, I: International Journal of Cancer. 152, 6, s. 1150-1158 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 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
- 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
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Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI
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Smoothing images creates corners
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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