Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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1 - 100 out of 366Page size: 100
  1. 2024
  2. Published

    AI supported fetal echocardiography with quality assessment

    Taksoee-Vester, C. A., Mikolaj, K., Bashir, Z., Christensen, A. N., Petersen, Olav Bennike Bjørn, Sundberg, K., Feragen, A., Svendsen, M. B. S., Nielsen, Mads & xgz472, xgz472, 2024, In: Scientific Reports. 14, 1, 9 p., 5809.

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

  3. Published

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

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

  4. Published

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

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

  5. Published

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

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

  6. Published

    Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Perslev, Mathias, Sheng, K., Ingala, S., Nielsen, Mads & 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

  7. E-pub ahead of print

    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, (E-pub ahead of print) In: European Radiology. 12 p.

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

  8. 2023
  9. Published

    Active Transfer Learning for 3D Hippocampus Segmentation

    Wu, J., Kang, Zhongfeng, 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. (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

  10. Published

    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. (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

  11. Published

    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, In: Radiology. 308, 2, 8 p., e230227.

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

  12. Published

    Breast density and risk of breast cancer

    Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.

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

  13. Published

    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, 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

  14. Published

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

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

  15. Published

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

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

  16. Published

    Partial feedback online transfer learning with multi-source domains

    Kang, Zhongfeng, Nielsen, Mads, Yang, B. & Mehdipour Ghazi, Mostafa, 2023, In: Information Fusion. 89, p. 29-40

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

  17. Published

    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, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.

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

  18. 2022
  19. Published

    Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

    Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, Jan 2022, arXiv.org, 29 p.

    Research output: Working paper › Preprint › Research

  20. Published

    A buffered online transfer learning algorithm with multi-layer network

    Kang, Zhongfeng, Yang, B., Nielsen, Mads, Deng, L. & Yang, S., 2022, In: Neurocomputing. 488, p. 581-597 17 p.

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

  21. Published

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Lauritzen, Andreas, Rodríguez-Ruiz, A., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, In: Radiology. 304, 1, p. 41-49

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

  22. Published

    Augmentation based unsupervised domain adaptation

    Orbes-Arteaga, M., Varsavsky, T., Sørensen, L., Nielsen, Mads, Pai, A. S. U., Ourselin, S., Modat , M. & Cardoso, M. J., 2022, arXiv.org, 12 p.

    Research output: Working paper › Preprint › Research

  23. Published

    FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

    Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2022, arXiv.org, 18 p.

    Research output: Working paper › Preprint › Research

  24. Published

    Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

    Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 p.

    Research output: Working paper › Preprint › Research

  25. Published

    Machine learning and deep learning applications in microbiome research

    Hernandez Medina, Ricardo, Kutuzova, Svetlana, Nielsen, Knud Nor, Johansen, Joachim, Hansen, Lars Hestbjerg, Nielsen, Mads & Rasmussen, Simon, 2022, In: ISME Communications. 2, 7 p., 98.

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

  26. 2021
  27. Published

    Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

    Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 Sep 2021, In: Scientific Reports. 11, 1, 10 p., 18959.

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

  28. Published

    Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry

    Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 p.

    Research output: Working paper › Preprint › Research

  29. Published

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

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2021, arXiv.org, 11 p.

    Research output: Working paper › Preprint › Research

  30. Published

    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, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

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

  31. Published

    Extension of Plant Phenotypes by the Foliar Microbiome

    Hawkes, C. V., Kjøller, Rasmus, Raaijmakers, J. M., Riber, Leise, Christensen, Svend, Rasmussen, Simon, Christensen, Jan H., Dahl, A. B., Westergaard, Jesper Cairo, Nielsen, Mads, Brown-Guedira, G. & Hansen, Lars Hestbjerg, 2021, In: Annual Review of Plant Biology. 72, p. 823-846 24 p.

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

  32. Published

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

    Feragen, A. (ed.), Sommer, Stefan Horst (ed.), Schnabel, J. (ed.) & Nielsen, Mads (ed.), 2021, Springer. 782 p. (Lecture Notes in Computer Science, Vol. 12729).

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

  33. 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, Mads, 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

  34. Published

    Robust parametric modeling of Alzheimer's disease progression

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, 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

  35. 2020
  36. Published

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

    Vilmun, B. M., Vejborg, I., Lynge, E., Lillholm, Martin, Nielsen, Mads, Nielsen, Michael Bachmann & Carlsen, Jonathan Frederik, Jun 2020, In: European Journal of Radiology. 127, 9 p., 109019.

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

  37. Published

    Lung Segmentation from Chest X-rays using Variational Data Imputation

    Selvan, Raghav, Dam, Erik Bjørnager, Rischel, S., Sheng, K., Nielsen, Mads & Pai, A., 20 May 2020, In: OpenReview.net. 7 p.

    Research output: Contribution to journal › Conference article › Research

  38. Published

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, In: American Journal of Roentgenology. 214, 6, p. 1269-1279

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

  39. Published

    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., Nielsen, Mads, Rao, S. M., Chance, M., Lamb, B. T. & Leverenz, J. B., 2020, In: Annals of Clinical and Translational Neurology. 7, 7, p. 1225-1239 15 p.

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

  40. Published

    Kunstig intelligens til cancerdiagnostik i brystkræftscreening

    Elhakim, M. T., Graumann, O., Brønsro Larsen, L., Nielsen, Mads & Rasmussen, B. S., 2020, In: Ugeskrift for Laeger. 182, 16, p. 1488-1492 V06200423.

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

  41. Published

    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, Mads, 2020, In: Medical Image Analysis. 66, 11 p., 101800.

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

  42. 2019
  43. Published

    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, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.

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

  44. Published

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 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. (eds.). Springer VS, p. 68-76 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).

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

  45. Published

    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, In: International Journal of Cancer. 145, 11, p. 2954-2962 9 p.

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

  46. Published

    MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Modat , M., Cardoso , J., Ourselin, S. & Sorensen, L., 2019. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research

  47. Published

    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. & 12 others, 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, In: BMJ Open. 9, 12, p. 1-6 e031041.

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

  48. Published

    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., Sørensen, L., Nielsen, Mads, Pai, A., 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. (eds.). Springer VS, p. 54-62 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11795 LNCS).

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

  49. Published

    On the initialization of long short-term memory networks

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer VS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11953 LNCS).

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

  50. Published

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 p.

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

  51. Published

    Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2019, In: Breast Cancer Research. 21, 1

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

  52. Published

    The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

    Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, In: Neurobiology of Aging. 81, p. 58-66

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

  53. Published

    Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2019, In: Medical Image Analysis. 53, p. 39-46

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

  54. Published

    UNSUPERVISED MACHINE LEARNING ON BASELINE BRAIN MRI IDENTIFIES MCI SUBGROUP WITH A FASTER DECLINE OVER TWO YEARS COMPARED TO CLASSICAL HIPPOCAMPAL SPARING AD SUBTYPE

    Sørensen, L., Pai, A., Nielsen, Mads, Leverenz, J. B. & Pillai, J. A., 2019, In: Alzheimer's & Dementia. 15, 7, p. P1420 1 p., P4-326.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  55. 2018
  56. Published

    Subclinical depressive symptoms during late midlife and structural brain alterations: A longitudinal study of Danish men born in 1953

    Osler, Merete, Sørensen, L., Rozing, M., Calvo, O. P., Nielsen, Mads & Rostrup, E., Apr 2018, In: Human Brain Mapping. 39, 4, p. 1789-1795

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

  57. Published

    Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination

    Sørensen, L. & Nielsen, Mads, 2018, In: Journal of Neuroscience Methods. 302, SI, p. 66-74

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

  58. Published

    Robust training of recurrent neural networks to handle missing data for disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2018. 9 p.

    Research output: Contribution to conference › Paper › Research

  59. Published

    Screening mammography: benefit of double reading by breast density

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Napolitano, George, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2018, In: Breast Cancer Research and Treatment. 171, 3, p. 767-776 10 p.

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

  60. Published

    Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs

    Orbes-Arteaga, M., Cardoso, M. J., Sørensen, L., Modat, M., Ourselin, S., Nielsen, Mads & Pai, A. S. U., 2018. 8 p.

    Research output: Contribution to conference › Paper › Research

  61. Published

    The combined effect of mammographic texture and density on breast cancer risk: a cohort study

    Wanders, J. O. P., van Gils, C. H., Karssemeijer, N., Holland, K., Kallenberg, M., Peeters, P. H. M., Nielsen, Mads & Lillholm, Martin, 2018, In: Breast Cancer Research. 20, 10 p., 36.

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

  62. 2017
  63. Published

    Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Diao, P., Lillholm, Martin, Kallenberg, M., Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, W. Y., Nielsen, Mads & Vejborg, I. M. M., Aug 2017, In: Cancer Epidemiology. 49, p. 53-60 8 p.

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

  64. Published

    Hippocampal texture predicts rate of cognitive decline in mild cognitive impairment

    Pai, A. S. U., Pillai, J. A., Sørensen, L., Darkner, Sune, Sommer, Stefan Horst & Nielsen, Mads, Jul 2017, In: Alzheimer's & Dementia. 13, 7, supplement, p. P1356 1 p., P4-225.

    Research output: Contribution to journal › Conference abstract in journal › Research

  65. Published

    Density-based non-rigid registration of diffusion-weighted images

    Jensen, H. G., Lauze, Francois Bernard, Nielsen, Mads & Darkner, Sune, Apr 2017.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  66. Published

    A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images

    Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Kühnel, L., Darkner, Sune, Sørensen, L. & Nielsen, Mads, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 151-159 9 p. (Lecture notes in computer science, Vol. 10081).

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

  67. Published

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (eds.). Academic Press, p. 223–242 20 p.

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

  68. Published

    Convolutional neural networks for segmentation and object detection of human semen

    Nissen, M. S., Krause, Oswin, Almstrup, Kristian, Kjærulff, S., Nielsen, T. T. & Nielsen, Mads, 2017, Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Sharma, P. & Bianchi, F. M. (eds.). Springer, Vol. Part 1. p. 397-406 10 p. (Lecture notes in computer science, Vol. 10269).

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

  69. Published

    Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

    Sørensen, L., Igel, Christian, Pai, A. S. U., Balas, I., Anker, C., Lillholm, Martin & Nielsen, Mads, 2017, In: NeuroImage: Clinical. 13, p. 470-482 13 p.

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

  70. Published

    Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings

    Cardoso, M. J. (ed.), Arbel, T. (ed.), Ferrante, E. (ed.), Pennec, X. (ed.), Dalca, A. V., Parisot, S. (ed.), Joshi, S. (ed.), Batmanghelich, N. K. (ed.), Sotiras, A. (ed.), Nielsen, Mads (ed.), Sabuncu, M. R. (ed.), Fletcher, T. (ed.), Shen, L. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2017, Springer. 248 p. (Lecture notes in computer science, Vol. 10551).

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

  71. 2016
  72. Published

    Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation

    Michalkiewicz, M. D., Pai, A. S. U., Leung, K. K., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L., Sporring, Jon & Nielsen, Mads, 2016, Medical imaging 2016: Image processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, 6 p. 978406. (Progress in Biomedical Optics and Imaging).

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

  73. Published

    Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease

    Pai, A. S. U., Sporring, Jon, Darkner, Sune, Dam, Erik Bjørnager, Lillholm, Martin, Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, Mads, 2016, In: SPIE Journal of Medical Imaging. 3, 1, 11 p., 014005.

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

  74. Published

    Do dementia biomarkers have a sigmoid trajectory? Insights from non-linear mixed effects modeling

    Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Sørensen, L. & Nielsen, Mads, 2016, In: Alzheimer's & Dementia. 12, 7, Supplement, p. P356 1 p., O4-09-06.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  75. Published

    Early detection of Alzheimer's disease using MRI hippocampal texture

    Sørensen, L., Igel, Christian, Hansen, N. L., Osler, Merete, Lauritzen, Martin, Rostrup, Egill & Nielsen, Mads, 2016, In: Human Brain Mapping. 37, 3, p. 1148-1161 14 p.

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

  76. Published

    Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions

    Pai, A. S. U., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2016, In: IEEE Transactions on Medical Imaging. 35, 6, p. 1369-1380 12 p.

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

  77. Published

    Learning density independent texture features

    Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (eds.). Springer, p. 299-306 8 p. (Lecture notes in computer science, Vol. 9699).

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

  78. Published

    MCI trial enrichment using MRI hippocampus texture

    Sørensen, L., Igel, Christian & Nielsen, Mads, 2016, In: Alzheimer's & Dementia. 12, 7, Supplement, p. P108–P109 2 p., IC-P-146.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  79. Published

    Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Nielsen, Mads, Petersen, P. K., Lillholm, Martin, Nielsen, Michael Bachmann, Lynge, Elsebeth, Uldall, W. Y. & Vejborg, I. M. M., 2016, In: B M C Cancer. 16, 12 p., 414.

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

  80. Published

    Supervised hub-detection for brain connectivity

    Kasenburg, N., Liptrot, M. G., Reislev, N. L., Garde, Ellen, Nielsen, Mads & Feragen, A., 2016, Medical Imaging 2016: Image Processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, 9 p. 978409. (Progress in Biomedical Optics and Imaging; No. 39, Vol. 17).

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

  81. Published

    Training shortest-path tractography: automatic learning of spatial priors

    Kasenburg, N., Liptrot, M. G., Reislev, N. L., Ørting, S. N., Nielsen, Mads, Garde, E. & Feragen, A., 2016, In: NeuroImage. 130, p. 63-76 14 p.

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

  82. Published

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

    Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1322-1331 10 p.

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

  83. 2015
  84. Published

    Adaptive time-stepping in dieomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015) . INRIA, p. 35-47

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

  85. Published

    Adaptive time-stepping in diffeomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L. E. B. L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, The 18th International Conference on Medical Image Computing and Computer Assisted Intervention: proceedings. Technische Universität München , p. 35-47 13 p.

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

  86. Published

    Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

    Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, p. 109 1 p.

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

  87. Published

    Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

    Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, p. 218 1 p.

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

  88. Published

    Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

    Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, 1, Supplement, 1 p., B-0212.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  89. Published

    Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative

    Dam, Erik Bjørnager, Lillholm, Martin, Marques, J. & Nielsen, Mads, 2015, In: SPIE Journal of Medical Imaging. 2, 2, 13 p., 024001.

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

  90. Published

    Comparison of several computational pipelines for atrophy computation in longitudinal Alzheimers studies

    Pai, A. S. U., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L. E. B. L., Sporring, Jon & Nielsen, Mads, 2015. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  91. Published

    Diffeomorphic image registration with automatic time-step adjustment

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 1085-1088 4 p.

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

  92. Published

    Hippocampal MRI texture is related to hippocampal glucose metabolism

    Sørensen, L., Pai, A. S. U., Igel, Christian & Nielsen, Mads, 2015, In: Alzheimer's & Dementia. 11, 7, Supplement, p. P55-P56 2 p., IC-P-077.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  93. Published

    Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects

    Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, In: Neurodegenerative Diseases. 15, Suppl. 1, p. 262 1 p., ADPD5-0947.

    Research output: Contribution to journal › Conference abstract in journal › Research

  94. Published

    Hippocampus MRI T1 texture's relation to established Alzheimer's disease biomarkers and prediction of progression

    Nielsen, Mads, Sørensen, L., Pai, A. S. U., Igel, Christian & Lillholm, Martin, 2015. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  95. Published

    Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel

    Pai, A. S. U., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Medical Imaging 2015: Image Processing. SPIE - International Society for Optical Engineering, 7 p. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 9413).

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

  96. Published

    Improved Alzheimer's disease diagnostic performance using structural MRI: validation of the MRI combination biomarker that won the CADDementia challenge

    Sørensen, L., Lillholm, Martin, Pai, A. S. U., Balas, I., Anker, C., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, Supplement 1, 1 p., B-0077.

    Research output: Contribution to journal › Conference abstract in journal › Research

  97. Published

    Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer

    Winkel, R. R., von Euler-Chelpin, My Catarina, Nielsen, Mads, Diao, P., Nielsen, Michael Bachmann, Uldall, W. Y. & Vejborg, I. M. M., 2015, In: BMC Cancer. 15, 14 p., 274.

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

  98. Published

    Locally orderless registration for diffusion weighted images

    Jensen, H. G., Lauze, Francois Bernard, Nielsen, Mads & Darkner, Sune, 2015, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer, p. 305-312 8 p. (Lecture notes in computer science, Vol. 9350).

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

  99. Published

    Multimodal brain extraction from structural MRI using co-registered FDG-PET

    Jensen, H. G., Federspiel, F. V. K., Ptito, Maurice, Nielsen, Mads, Gjedde, Albert, Keller, S. H., Law, Ian, Kupers, R. & Darkner, Sune, 2015. 12 p.

    Research output: Contribution to conference › Paper › Research

  100. Published

    Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015)

    Pennec, X. (ed.), Joshi, S. (ed.), Nielsen, Mads (ed.), Fletcher, T. P. (ed.), Durrleman, S. (ed.) & Sommer, Stefan Horst (ed.), 2015, INRIA. 173 p.

    Research output: Book/Report › Anthology › Research

  101. Published

    Relevance sampling

    Nielsen, Mads, Markussen, Bo & Loog, M., 2015, Proceedings of the Eight Workshop on Information Theoretic Methods in Science and Engineering. Rissanen, J., Harremoës, P., Forchhammer, S., Roos, T. & Myllymäki, P. (eds.). Department of Computer Science, University of Helsinki , p. 35-38 4 p. (Series of Publications B, Vol. B-2015-1).

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

  102. Published

    Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M. E., Méndez Orellana, C., Meijboom, R., Pinto, M., Meireles, J. R., Garrett, C., Bastos-Leite, A. J., Abdulkadir, A., Ronneberger, O., Amoroso, N., Bellotti, R., Cárdenas-Peña, D., Álvarez-Meza, A. M. & 30 others, Dolph, C. V., Iftekharuddin, K. M., Eskildsen, S. F., Coupé, P., Fonov, V. S., Franke, K., Gaser, C., Ledig, C., Guerrero, R., Tong, T., Gray, K. R., Moradi, E., Tohka, J., Routier, A., Durrleman, S., Sarica, A., Di Fatta, G., Sensi, F., Chincarini, A., Smith, G. M., Stoyanov, Z. V., Sørensen, L. E. B. L., Nielsen, Mads, Tangaro, S., Inglese, P., Wachinger, C., Reuter, M., van Swieten, J. C., Niessen, W. J. & Klein, S., 2015, In: NeuroImage. 111, p. 562-579 18 p.

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

  103. 2014
  104. Published

    Computer based method for determining the size of an objects in an image

    Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 Dec 2014, Priority date 4 Dec 2014

    Research output: Patent

  105. Published

    A method to determine the mammographic regions that show early changes due to the development of breast cancer

    Karemore, G., Nielsen, Mads, Karssemeijer, N. & Brandt, S. S., 2014, In: Physics in Medicine and Biology. 59, 22, p. 6759-6773 15 p.

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

  106. Published

    Alzheimer's disease diagnostic performance of a multi-atlas hippocampal segmentation method using the harmonized hippocampal protocol

    Anker, C., Sørensen, L., Pai, A. S. U., Lyksborg, M., Lillholm, Martin, Conradsen, K., Larsen, R. & Nielsen, Mads, 2014. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  107. Published

    Automated hippocampal segmentation using new standardized manual segmentations from the harmonized hippocampal protocol

    Anker, C., Pai, A. S. U., Sørensen, L., Lyksborg, M., Conradsen, K., Larsen, R. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P33 1 p., IC-P-058.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  108. Published

    Automated hippocampal segmentation using new standardized manual segmentations from the harmonized hippocampal protocol

    Anker, C., Pai, A. S. U., Sørensen, L., Lyksborg, M., Conradsen, K., Larsen, R. & Nielsen, Mads, 2014, In: Alzheimer's & Dementia. 10, 4, Supplement, p. P415-P416 2 p., P1-288.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  109. Published

    Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

    Erleben, L. L., Sørensen, L. E., Pai, A. S. U., Dam, Erik Bjørnager, Nielsen, Mads & Initiative, A. D. N., 2014, In: BMC Medical Imaging. 14, 1, 12 p., 21.

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

  110. Published

    Breast tissue segmentation and mammographic risk scoring using deep learning

    Petersen, P. K., Nielsen, Mads, Diao, P., Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (eds.). Springer Science+Business Media, p. 88-94 7 p. (Lecture notes in computer science, Vol. 8539).

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

  111. Published

    Breast tissue segmentation from x-ray radiographs

    Chen, C., Nielsen, Mads, Karssemeijer, N. & Brandt, S. S., 2014, In: Physics in Medicine and Biology. 59, 10, p. 2445-2456 12 p.

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

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