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2024
AI supported fetal echocardiography with quality assessment
Taksoee-Vester, C. A., Mikolaj, K., Bashir, Z., Christensen, A. N., Petersen, O. B., Sundberg, K., Feragen, A., Svendsen, M. B. S., Nielsen, M. & Tolsgaard, M. G., 2024, I: Scientific Reports. 14, 1, 9 s., 5809.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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An assessment of the value of deep neura networks in genetic risk prediction for surgically relevant outcomes
Christensen, M. A., Sigurdsson, A., Bonde, A., Rasmussen, S., Ostrowski, S. R., Nielsen, M. & Sillesen, M., 2024, I: PLoS ONE. 19, 7, e0294368.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis
Bojsen, J. A., Elhakim, M. T., Graumann, O., Gaist, D., Nielsen, M., Harbo, F. S. G., Krag, C. H., Sagar, M. V., Kruuse, C., Boesen, M. P. & Rasmussen, B. S. B., 2024, I: Insights into Imaging. 15, 1, 13 s., 160.Publikation: Bidrag til tidsskrift › Review › Forskning › peer review
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CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Ghazi, M. M., Sørensen, L., Ourselin, S. & Nielsen, M., 2024, I: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, s. 792-802Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort
Mehdipour Ghazi, M., Urdanibia-Centelles, O., Bakhtiari, A., Fagerlund, B., Vestergaard, M. B., Larsson, H. B. W., Mortensen, E. L., Osler, M., Nielsen, M., Benedek, K. & Lauritzen, M., 2024, (E-pub ahead of print) I: GeroScience.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts
Mehdipour Ghazi, M., Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, M., 2024, I: Frontiers in Aging Neuroscience. 16, 1345417.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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COVID-19-associated cerebral microbleeds in the general population
Sagar, M. V., Ferrer, N. R., Mehdipour Ghazi, M., Klein, K. V., Jimenez-Solem, E., Nielsen, M. & Kruuse, C., 2024, I: Brain Communications. 6, 3, fcae127.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
Lauritzen, A. D., Lillholm, M., Lynge, E., Nielsen, M., Karssemeijer, N. & Vejborg, I., 2024, I: Radiology. 311, 3, 9 s., e232479.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification
Llambias, S. N., Nielsen, M. & Ghazi, M. M., 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 › peer review
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HyperLeaf2024 - A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves
Laprade, W. M., Pieta, P., Kutuzova, S., Westergaard, J. C., Nielsen, M., Christensen, S. & Dahl, A. B., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society Press, s. 1234-1243 10 s. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Introduction of one-view tomosynthesis in population-based mammography screening: Impact on detection rate, interval cancer rate and false-positive rate
Vilmun, B. M., Napolitano, G., Lillholm, M., Winkel, R. R., Lynge, E., Nielsen, M., Nielsen, M. B., Carlsen, J. F., von Euler-Chelpin, M. & Vejborg, I., 2024, (Accepteret/In press) I: Journal of Medical Screening.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation
Lin, M., Ambsdorf, J., Sejer, E. P. F., Bashir, Z., Wong, C. K., Pegios, P., Raheli, A., Svendsen, M. B. S., Nielsen, M., Tolsgaard, M. G., Christensen, A. N. & Feragen, A., 2024, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. IEEE Computer Society Press, s. 1-5 (Proceedings - International Symposium on Biomedical Imaging).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
Fil1 Citationer (Scopus)2 Downloads (Pure) -
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Middleton, J., Bauer, M., Johansen, J., Perslev, M., Sheng, K., Ingala, S., Nielsen, M. & Pai, A., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, s. 158-164 (Proceedings of Machine Learning Research, Bind 233).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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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, M., Gerke, O., Larsen, L. B. & Graumann, O., 2024, I: European Radiology. 34, s. 3935–3946Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta
Taksøe-Vester, C. A., Mikolaj, K., Petersen, O. B. B., Vejlstrup, N. G., Christensen, A. N., Feragen, A., Nielsen, M., Svendsen, M. B. S. & Tolsgaard, M. G., 2024, I: Ultrasound in Obstetrics and Gynecology. 64, 1, s. 36-43Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Taxometer: Improving taxonomic classification of metagenomics contigs
Kutuzova, S., Nielsen, M., Piera, P., Nissen, J. N. & Rasmussen, S., 2024, I: Nature Communications. 15, 1, 9 s., 8357.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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2023
Active Transfer Learning for 3D Hippocampus Segmentation
Wu, J., Kang, Z., Llambias, S. N., Ghazi, M. M. & Nielsen, M., 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 › peer review
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An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders
Laprade, W. M., Westergaard, J. C., Nielsen, J., Nielsen, M. & 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 › peer review
1 Citationer (Scopus) -
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Lauritzen, A. D., von Euler-Chelpin, M. C., Lynge, E., Vejborg, I., Nielsen, M., Karssemeijer, N. & Lillholm, M., 2023, I: Radiology. 308, 2, 8 s., e230227.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Breast cancer detection accuracy of AI in an entire screening population: a retrospective, multicentre study
Elhakim, M. T., Stougaard, S. W., Graumann, O., Nielsen, M., Lång, K., Gerke, O., Larsen, L. B. & Rasmussen, B. S. B., 2023, I: Cancer Imaging. 23, 13 s., 127.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Breast density and risk of breast cancer
Lynge, E., Vejborg, I., Lillholm, M., Nielsen, M., Napolitano, G. & von Euler-Chelpin, M., 2023, I: International Journal of Cancer. 152, 6, s. 1150-1158 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Ferrer, N. R., Vendela Sagar, M., Klein, K. V., Kruuse, C., Nielsen, M. & Ghazi, M. M., 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 › peer review
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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, M. B., Brejnebøl, M. W., Sagar, M. V., Bojsen, J. A., Rasmussen, B. S., Graumann, O., Nielsen, M., Kruuse, C. & Boesen, M., 2023, I: European Journal of Radiology. 168, 8 s., 111126.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Middleton, J. A., Bauer, M., Johansen, J., Nielsen, M., Sommer, S. H. & 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 › peer review
1 Citationer (Scopus) -
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, M., Petersen, E., Christensen, A. N., Tolsgaard, M. & 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 › peer review
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Online transfer learning with partial feedback
Kang, Z., Nielsen, M., Yang, B., Deng, L. & Lorenzen, S. S., 2023, I: Expert Systems with Applications. 212, 13 s., 118738.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
4 Citationer (Scopus) -
Partial feedback online transfer learning with multi-source domains
Kang, Z., Nielsen, M., Yang, B. & Ghazi, M. M., 2023, I: Information Fusion. 89, s. 29-40Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
8 Citationer (Scopus) -
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
Lauritzen, A. D., Von Euler-Chelpin, M. C., Lynge, E., Vejborg, I., Nielsen, M., Karssemeijer, N. & Lillholm, M., 2023, I: Journal of Medical Imaging. 10, 5, s. 1-16 054003.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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2022
A buffered online transfer learning algorithm with multi-layer network
Kang, Z., Yang, B., Nielsen, M., Deng, L. & Yang, S., 2022, I: Neurocomputing. 488, s. 581-597 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
8 Citationer (Scopus) -
An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
Lauritzen, A. D., Rodríguez-Ruiz, A., Euler-Chelpin, M. C. V., Lynge, E., Vejborg, I., Nielsen, M., Karssemeijer, N. & Lillholm, M., 2022, I: Radiology. 304, 1, s. 41-49Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Augmentation based unsupervised domain adaptation
Orbes-Arteaga, M., Varsavsky, T., Sørensen, L., Nielsen, M., Pai, A. S. U., Ourselin, S., Modat, M. & Cardoso, M. J., 2022, arXiv.org, 12 s.Publikation: Working paper › Preprint › Forskning
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FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
Mehdipour Ghazi, M. & Nielsen, M., 2022, arXiv.org, 18 s.Publikation: Working paper › Preprint › Forskning
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Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Lorenzen, S. S., Igel, C. & Nielsen, M., 2022, arXiv.org, 19 s.Publikation: Working paper › Preprint › Forskning
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Machine learning and deep learning applications in microbiome research
Hernandez Medina, R., Kutuzova, S., Nielsen, K. N., Johansen, J., Hansen, L. H., Nielsen, M. & Rasmussen, S., 2022, I: ISME Communications. 2, 7 s., 98.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Kutuzova, S., Krause, O., McCloskey, D., Nielsen, M. & Igel, C., jan. 2022, arXiv.org, 29 s.Publikation: Working paper › Preprint › Forskning
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2021
Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry
Kutuzova, S., Igel, C., Nielsen, M. & McCloskey, D., 2021, bioRxiv, 22 s.Publikation: Working paper › Preprint › Forskning
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CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
Mehdipour Ghazi, M., Sørensen, L., Ourselin, S. & Nielsen, M., 2021, arXiv.org, 11 s.Publikation: Working paper › Preprint › Forskning
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, , 2021, I: Scientific Reports. 11, 1, 12 s., 3246.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil55 Citationer (Scopus)294 Downloads (Pure) -
Extension of Plant Phenotypes by the Foliar Microbiome
Hawkes, C. V., Kjøller, R., Raaijmakers, J. M., Riber, L., Christensen, S., Rasmussen, S., Christensen, J. H., Dahl, A. B., Westergaard, J. C., Nielsen, M., Brown-Guedira, G. & Hestbjerg Hansen, L., 2021, I: Annual Review of Plant Biology. 72, s. 823-846 24 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
31 Citationer (Scopus) -
Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings
Feragen, A. (red.), Sommer, S. H. (red.), Schnabel, J. (red.) & Nielsen, M. (red.), 2021, Springer. 782 s. (Lecture Notes in Computer Science, Bind 12729).Publikation: Bog/antologi/afhandling/rapport › Antologi › Forskning › peer review
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Lesion-wise evaluation for effective performance monitoring of small object segmentation
Groothuis, I., Sudre, C. H., Ingala, S., Barnes, J., Gispert, J. D., Sørensen, L., Pai, A., Nielsen, M., Ourselin, S., Cardoso, M. J., Barkhof, F. & Modat, M., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (red.). SPIE, s. 1-8 1159608. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 11596).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Robust parametric modeling of Alzheimer's disease progression
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Jorge Cardoso, M., Ourselin, S. & Sørensen, L., 2021, I: NeuroImage. 225, 12 s., 117460.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
Lorenzen, S. S., Nielsen, M., Jimenez-Solem, E., Petersen, T. S., Perner, A., Thorsen-Meyer, H-C., Igel, C. & Sillesen, M., 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil16 Citationer (Scopus)59 Downloads (Pure) -
2020
Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial
Sørensen, L., Nielsen, M., Petersen, J., Pedersen, J. H., Dirksen, A. & de Bruijne, M., 2020, I: American Journal of Roentgenology. 214, 6, s. 1269-1279Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
21 Citationer (Scopus) -
Impact of adding breast density to breast cancer risk models: A systematic review
Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, M., Nielsen, M., Nielsen, M. B. & Carlsen, J. F., jun. 2020, I: European Journal of Radiology. 127, 9 s., 109019.Publikation: Bidrag til tidsskrift › Review › Forskning › peer review
36 Citationer (Scopus) -
Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease
Pillai, J. A., Bena, J., Bebek, G., Bekris, L. M., Bonner-Jackson, A., Kou, L., Pai, A., Sørensen, L., Neilsen, M., Rao, S. M., Chance, M., Lamb, B. T. & Leverenz, J. B., 2020, I: Annals of Clinical and Translational Neurology. 7, 7, s. 1225-1239 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Kunstig intelligens til cancerdiagnostik i brystkræftscreening
Elhakim, M. T., Graumann, O., Brønsro Larsen, L., Nielsen, M. & Rasmussen, B. S., 2020, I: Ugeskrift for Laeger. 182, 16, s. 1488-1492 V06200423.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Lung Segmentation from Chest X-rays using Variational Data Imputation
Selvan, R., Dam, E. B., Rischel, S., Sheng, K., Nielsen, M. & Pai, A., 20 maj 2020, I: OpenReview.net. 7 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning
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Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
Greenspan, H., Estepar, R. S. J., Niessen, W. J., Siegel, E. & Nielsen, M., 2020, I: Medical Image Analysis. 66, 11 s., 101800.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgang44 Citationer (Scopus) -
2019
Change in mammographic density across birth cohorts of Dutch breast cancer screening participants
Napolitano, G. M., Lynge, E., Lillholm, M., Vejborg, I. M. M., van Gils, C. H., Nielsen, M. & Karssemeijer, N., 2019, I: International Journal of Cancer. 145, 11, s. 2954-2962 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil4 Citationer (Scopus)131 Downloads (Pure)