Mads Nielsen
Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 2018
- 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. 66-74Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- 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
- 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
- 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
- 2017
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 2016
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 2015
- 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. 35-47Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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, Ron & Darkner, Sune, 2015. 12 p.Research output: Contribution to conference › Paper › Research
- 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
- 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
- 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, , 2015, In: NeuroImage. 111, p. 562-579 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2014
- 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 2014Research output: Patent
- 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
- 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
- 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
- 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
- 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
- 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
ID: 542361
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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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