Mads Nielsen

Search results

• 2025

  Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation

  Bashir, Z., Lin, M., Feragen, A., Mikolaj, K., Taksøe-Vester, C., Christensen, A. N., Svendsen, M. B. S., Fabricius, M. H., Andreasen, L., Nielsen, M. & Tolsgaard, M. G., 2025, In: Scientific Reports. 15, 1, 10 p., 2074.

  Research output: Contribution to journal › Journal article › Research › peer-review

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• Deep Learning for Localization of White Matter Lesions in Neurological Diseases

  Machnio, J., Nielsen, M. & Ghazi, M. M., 2025, In: Proceedings of Machine Learning Research. 265, p. 155-167

  Research output: Contribution to journal › Conference article › Research › peer-review

  Open Access

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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., 2025, In: Journal of Medical Screening. 32, 1, p. 28-34 7 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

• Reply

  Mikolaj, K., Taksøe-Vester, C. A., Petersen, O. B. B., Vejlstrup, N. G., Christensen, A. N., Feragen, A., Nielsen, M., Svendsen, M. B. S. & Tolsgaard, M. G., 2025, In: Ultrasound in Obstetrics and Gynecology. 65, 3

  Research output: Contribution to journal › Comment/debate › Research › peer-review

• Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models

  Olsen, M. D. S., Ambsdorf, J., Lin, M., Taksøe-Vester, C., Svendsen, M. B. S., Christensen, A. N., Nielsen, M., Tolsgaard, M. G., Feragen, A. & Pegios, P., 2025, Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Proceedings. Gomez, A., Khanal, B., King, A. & Namburete, A. (eds.). Springer, p. 209-219 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15186 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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• 2024

  AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study

  Elhakim, M. T., Stougaard, S. W., Graumann, O., Nielsen, M., Gerke, O., Larsen, L. B. & Rasmussen, B. S. B., Nov 2024, In: Radiology: Artificial Intelligence. 6, 6, e230529.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access
  2 Citations (Scopus)

• 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, In: Scientific Reports. 14, 1, 9 p., 5809.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  3 Citations (Scopus)

  22 Downloads (Pure)

• 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, In: PLoS ONE. 19, 7, e0294368.

  Research output: Contribution to journal › Journal article › Research › 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, In: Insights into Imaging. 15, 1, 13 p., 160.

  Research output: Contribution to journal › Review › peer-review

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  1 Citation (Scopus)

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• Binning meets taxonomy: TaxVAMB improves metagenome binning using bi-modal variational autoencoder

  Kutuzova, S., Piera, P., Nor Nielsen, K., Olsen, N. S., Riber, L., Gobbi, A., Forero-Junco, L. M., Dougherty, P. E., Westergaard, J. C., Christensen, S., Hansen, L. H., Nielsen, M., Nissen, J. N. & Rasmussen, S., 29 Oct 2024, bioRxiv, 40 p.

  Research output: Working paper › Preprint

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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, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 792-802

  Research output: Contribution to journal › Journal article › Research › peer-review

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  4 Citations (Scopus)

  22 Downloads (Pure)

• 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) In: GeroScience.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

• 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, In: Frontiers in Aging Neuroscience. 16, 1345417.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  1 Citation (Scopus)

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• CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT

  Odgaard, M., Klein, K., Thysen, S. M., Jimenez-Solem, E., Sillesen, M. & Nielsen, M., 2024, Proceedings of the 9th Machine Learning for Healthcare Conference,. PMLR, Vol. 252. p. 1-33 (Proceedings of Machine Learning Research, Vol. 262).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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, In: Brain Communications. 6, 3, fcae127.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  1 Citation (Scopus)

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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, In: Radiology. 311, 3, 9 p., e232479.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  16 Citations (Scopus)

  5 Downloads (Pure)

• 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, p. 138-144 (Proceedings of Machine Learning Research, Vol. 233).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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, p. 1234-1243 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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, p. 1-5 (Proceedings - International Symposium on Biomedical Imaging).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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  2 Citations (Scopus)

  3 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, p. 158-164 (Proceedings of Machine Learning Research, Vol. 233).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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• MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept

  Munk, A., Ma, A. & Nielsen, M., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL). PMLR, Vol. 233. p. 174-180 (Proceedings of Machine Learning Research, Vol. 233).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

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  1 Citation (Scopus)

• 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, In: European Radiology. 34, p. 3935–3946

  Research output: Contribution to journal › Journal article › Research › peer-review

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  8 Citations (Scopus)

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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, In: Ultrasound in Obstetrics and Gynecology. 64, 1, p. 36-43

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  8 Citations (Scopus)

  5 Downloads (Pure)

• Taxometer: Improving taxonomic classification of metagenomics contigs

  Kutuzova, S., Nielsen, M., Piera, P., Nissen, J. N. & Rasmussen, S., 2024, In: Nature Communications. 15, 1, 9 p., 8357.

  Research output: Contribution to journal › Journal article › Research › 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. (eds.). Springer, p. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14307 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

• 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. (eds.). Springer, p. 191-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13886 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access
  1 Citation (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, In: Radiology. 308, 2, 8 p., e230227.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  11 Citations (Scopus)

  23 Downloads (Pure)

• 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, In: Cancer Imaging. 23, 13 p., 127.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  3 Citations (Scopus)

  10 Downloads (Pure)

• Breast density and risk of breast cancer

  Lynge, E., Vejborg, I., Lillholm, M., Nielsen, M., Napolitano, G. & von Euler-Chelpin, M., 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  6 Citations (Scopus)

  50 Downloads (Pure)

• 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, p. 1-4 4 p. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access
  1 Citation (Scopus)

• 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, In: European Journal of Radiology. 168, 8 p., 111126.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  6 Citations (Scopus)

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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, p. 49-58 (Lecture Notes in Computer Science, Vol. 13823).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access
  1 Citation (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. (eds.). Springer, p. 57-67 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14337 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

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• Online transfer learning with partial feedback

  Kang, Z., Nielsen, M., Yang, B., Deng, L. & Lorenzen, S. S., 2023, In: Expert Systems with Applications. 212, 13 p., 118738.

  Research output: Contribution to journal › Journal article › Research › peer-review
  4 Citations (Scopus)

• Partial feedback online transfer learning with multi-source domains

  Kang, Z., Nielsen, M., Yang, B. & Ghazi, M. M., 2023, In: Information Fusion. 89, p. 29-40

  Research output: Contribution to journal › Journal article › Research › peer-review
  10 Citations (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, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  2 Citations (Scopus)

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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, In: Neurocomputing. 488, p. 581-597 17 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  8 Citations (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, In: Radiology. 304, 1, p. 41-49

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

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  82 Citations (Scopus)

  31 Downloads (Pure)

• 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 p.

  Research output: Working paper › Preprint

  Open Access

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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 p.

  Research output: Working paper › Preprint

  Open Access

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• Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

  Lorenzen, S. S., Igel, C. & Nielsen, M., 2022, arXiv.org, 19 p.

  Research output: Working paper › Preprint

  Open Access

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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, In: ISME Communications. 2, 7 p., 98.

  Research output: Contribution to journal › Journal article › Research › 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 p.

  Research output: Working paper › Preprint

  Open Access

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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 p.

  Research output: Working paper › Preprint

  Open Access

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  48 Downloads (Pure)

• 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 p.

  Research output: Working paper › Preprint

  Open Access

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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 others, de Bruijne, M., Ibragimov, B., Petersen, J., Lillholm, M., Middleton, J., Mogensen, S. H., Thorsen-Meyer, H.-C., Perner, A., Helleberg, M., Kaas-Hansen, B. S., Bonde, M., Bonde, A., Pai, A., Nielsen, M. & Sillesen, M., 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  59 Citations (Scopus)

  315 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, In: Annual Review of Plant Biology. 72, p. 823-846 24 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  36 Citations (Scopus)

• Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings

  Feragen, A. (Editor), Sommer, S. H. (Editor), Schnabel, J. (Editor) & Nielsen, M. (Editor), 2021, Springer. 782 p. (Lecture Notes in Computer Science, Vol. 12729).

  Research output: Book/Report › Anthology › Research › peer-review

• 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. (eds.). SPIE, p. 1-8 1159608. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 11596).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

• 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, In: NeuroImage. 225, 12 p., 117460.

  Research output: Contribution to journal › Journal article › Research › peer-review

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  22 Citations (Scopus)

  70 Downloads (Pure)