Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
A category system on the shape index descriptor of local image structure induced by natural image statistics
Lillholm, Martin & Griffin, L. D., 2006, I: Perception. 35, Supplement, s. 48-49 2 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
A framework for optimizing measurement weight maps to minimize the required sample size
Qazi, A. A., Jørgensen, D. R., Lillholm, Martin, Loog, M., Nielsen, Mads & Dam, Erik Bjørnager, 2010, I: Medical Image Analysis. 14, 3, s. 255-264 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
A novel OA efficacy marker: cartilage activity
Jørgensen, D. R., Lillholm, Martin & Dam, E. B., 2013, I: Osteoarthritis and Cartilage. 21, Supplement, s. S21-S22 2 s., 28.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models
Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2013, I: Machine Vision & Applications. 24, 7, s. 1421–1434 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
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, I: Radiology. 304, 1, s. 41-49Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
An evaluation of a novel technique for fully automatic synovitis quantification from pre- and post-contrast wrist MRI
Mysling, P., Dam, E., Zaim, S., Genant, H., Fuerst, T. & Lillholm, Martin, 2012, I: Annals of the Rheumatic Diseases. 71, Supplement 3, s. 303-304 2 s., THU0439.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, I: Radiology. 308, 2, 8 s., e230227.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, s. 109 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 218 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Automatic analysis of trabecular bone structure from knee MRI
Marques, J., Granlund, R., Lillholm, Martin, Pettersen, P. C. & Dam, E. B., 2012, I: Computers in Biology and Medicine. 42, 7, s. 735-742 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Automatic measurement of wrist synovitis from contrast-enhanced MRI: a registration-centered approach
Mysling, P., Darkner, Sune, Sporring, Jon, Dam, E. & Lillholm, Martin, 2013, Medical Imaging 2013: Image Processing. Ourselin, S. & Haynor, D. R. (red.). SPIE - International Society for Optical Engineering, 6 s. 86692U. (Progress in Biomedical Optics and Imaging; Nr. 36, Bind 14).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Automatic quantification of tibio-femoral contact area and congruity
Tummala, S., Nielsen, Mads, Lillholm, Martin, Christiansen, C. & Dam, Erik Bjørnager, 2012, I: I E E E Transactions on Medical Imaging. 31, 7, s. 1404-1412 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: SPIE Journal of Medical Imaging. 2, 2, 13 s., 024001.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Automatic segmentation of vertebrae from radiographs: a sample-driven active shape model approach
Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2011, Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Suzuki, K., Wang, F., Shen, D. & Yan, P. (red.). Springer, s. 10-17 8 s. (Lecture notes in computer science, Bind 7009).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Basic image features (BIFs) arising from approximate symmetry type
Griffin, L. D., Lillholm, Martin, Crosier, M. & van Sande, J., 2009, Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings. Tai, X-C., Mørken, K., Lysaker, M. & Lie, K-A. (red.). Springer, s. 343-355 13 s. (Lecture notes in computer science, Bind 5567).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Breast density and risk of breast cancer
Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, I: International Journal of Cancer. 152, 6, s. 1150-1158 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer Science+Business Media, s. 88-94 7 s. (Lecture notes in computer science, Bind 8539).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Brownian Images: a generic background model
Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: International Journal of Cancer. 145, 11, s. 2954-2962 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Classifying local image symmetry using a co-localised family of linear filters
Griffin, L. D. & Lillholm, Martin, 2008, I: Perception. 37, Supplement, s. 122-122 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
Clinical Significance of Combined Density and Deep-Learning-Based Texture Analysis for Stratifying the Risk of Short-Term and Long-Term Breast Cancer in Screening
Vilmun, B. M., Napolitano, George, Lauritzen, A., Lynge, E., Lillholm, Martin, Nielsen, Michael Bachmann & Vejborg, I., 2024, I: Diagnostics. 14, 16, 17 s., 1823.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object
Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC nr. A61B-005/00, Patentnr. US2014357978-A1, 4 dec. 2014, Prioritetsdato 4 jun. 2013, Prioritetsnr. US909666Publikation: Patent
- Udgivet
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, Prioritetsdato 4 dec. 2014Publikation: Patent
- Udgivet
Cube propagation for focal brain atrophy estimation
Pai, A. S. U., Sørensen, L., Darkner, Sune, Mysling, P., Jørgensen, D. R., Dam, E. B., Lillholm, Martin, Oh, J., Chen, G., Suhy, J., Sporring, Jon & Nielsen, Mads, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, s. 402-405 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: SPIE Journal of Medical Imaging. 3, 1, 11 s., 014005.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry
Sørensen, L., Pai, A. S. U., Anker, C., Balas, I., Lillholm, Martin, Igel, Christian & Nielsen, Mads, 2014, MICCAI 2014 Workshop Proceedings: Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data. Bron, E. E., Smits, M., van Swieten, J. C., Niessen, W. J. & Klein, S. (red.). Erasmus Universiteit Rotterdam, s. 111-118 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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 › fagfællebedømt
- Udgivet
Diagnosis of osteoarthritis and prognosis of tibial cartilage loss by quantification of tibia trabecular bone from MRI
Marques, J., Genant, H. K., Lillholm, Martin & Dam, Erik Bjørnager, 2013, I: Magnetic Resonance in Medicine. 70, 2, s. 568-575 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
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, I: NeuroImage: Clinical. 13, s. 470-482 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
Lauritzen, Andreas, Lillholm, Martin, Lynge, Elsebeth, Nielsen, Mads, Karssemeijer, N. & Vejborg, I., 2024, I: Radiology. 311, 3, 9 s., e232479.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Evaluation of WBAA with registration-based cube propagation for brain atrophy quantification
Lillholm, Martin, Pai, A. S. U., Sørensen, L., Nielsen, Mads, Sporring, Jon, Darkner, Sune & Dam, E., 2013. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
Evaluation of a novel approach for automatic delineation of vertebral contours in radiographs
Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2012, I: Osteoporosis International. 23, Supplement 2, s. S250-S250 1 s., P439.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
Eye movements in gaze interaction
Møllenbach, E., Paulin Hansen, J. & Lillholm, Martin, 2013, I: Journal of Eye Movement Research. 6, 2, s. 1-15 15 s., 1.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise
Griffin, L. D. & Lillholm, Martin, 2007, Human Vision and Electronic Imaging XII . Rogowitz, B. E., Pappas, T. N. & Daly, S. J. (red.). SPIE - International Society for Optical Engineering, 11 s. 649209. (Proceedings of S P I E - International Society for Optical Engineering, Bind 6492).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Feature-based image analysis
Lillholm, Martin, Nielsen, Mads & Griffin, L. D., 2003, I: International Journal of Computer Vision. 52, 2, s. 73-95 23 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Finding discriminative regions that optimally separate healthy and osteoarthritis knees
Jørgensen, D. R., Lillholm, Martin & Dam, E. B., 2011, I: Osteoarthritis and Cartilage. 19, Supplement 1, s. S192 414.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Fully automatic cartilage morphometry for knee MRI from the OAI
Dam, E., Marques, J., Zaim, S., Fuerst, T., Genant, H., Lillholm, Martin & Nielsen, Mads, 2012. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
Gaussian scale space from insufficient image information
Loog, M., Lillholm, Martin, Nielsen, M. & Viergever, M. A., 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Griffin, L. D. & Lillholm, M. (red.). Springer, s. 757-769 (Lecture notes in computer science, Bind 2695/2003).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
Hypotheses for image features, icons and textons
Griffin, L. D. & Lillholm, Martin, 2006, I: International Journal of Computer Vision. 70, 3, s. 213-230 18 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Identifying recurrent breast cancer patients in national health registries using machine learning
Lauritzen, Andreas, Berg, T., Jensen, M., Lillholm, Martin & Knoop, A., 2023, I: Acta Oncologica. 62, 4, s. 350–357Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Image features and the 1-D, 2nd order gaussian derivative jet
Griffin, L. D. & Lillholm, Martin, 2005, Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005. Proceedings. Kimmel, R., Sochen, N. A. & Weickert, J. (red.). Springer, s. 26-37 12 s. (Lecture notes in computer science, Bind 3459).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: European Journal of Radiology. 127, 9 s., 109019.Publikation: Bidrag til tidsskrift › Review › Forskning › fagfællebedømt
- Udgivet
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, I: Insights into Imaging. 6, Supplement 1, 1 s., B-0077.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
Jet based feature classification
Lillholm, Martin & Steenstrup Pedersen, Kim, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004: ICPR 2004. IEEE, s. 787-790 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Larger feature alphabets can improve object recognition even with simpler visual words
Lillholm, Martin & Griffin, L., 2008, I: Perception. 37, Supplement, s. 33-33 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
- Udgivet
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. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Linear feature selection in texture analysis - A PLS based method
Marques, J., Igel, Christian, Lillholm, Martin & Dam, E., 2013, I: Machine Vision & Applications. 24, 7, s. 1435-1444 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Localized cerebral atrophy acceleration during Alzheimer’s disease
Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P151 1 s., O1-10-06.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
Localized cerebral atrophy acceleration during Alzheimer’s disease
Pai, A. S. U., Sørensen, L., Darkner, Sune, Lillholm, Martin, Dam, E. B., Sporring, Jon & Nielsen, Mads, 2013, I: Alzheimer's & Dementia. 9, 4, Supplement, s. P36–P37 2 s., IC-P-059.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
- Udgivet
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, I: B M C Cancer. 16, 12 s., 414.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Nielsen, Mads, Vachon, C. M., Scott, C. G., Chernoff, K., Karemore, G., Karssemeijer, N., Lillholm, Martin & Karsdal, M., 2014, I: Breast Cancer Research (Online Edition). 16, 2, 8 s., R37.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling
Crimi, A., Lillholm, Martin, Nielsen, Mads, Ghosh, A., de Bruijne, Marleen, Dam, E. B. & Sporring, Jon, 2011, I: IEEE Transactions on Medical Imaging. 30, 8, s. 1514-1526 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Maximum likelihood metameres for local 2nd order image structure of natural images
Lillholm, Martin & Griffin, L. D., 2007, Scale Space and Variational Methods in Computer Vision: First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (red.). Springer, s. 394-405 12 s. (Lecture notes in computer science, Bind 4485).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Method for analyzing magnetic resonance imaging (MRI) image of bone to identify e.g. osteoarthritis, involves combining features of textural information within region of interest (ROI) to estimate level of disease
Dam, E. B., Granlund, R. L. & Lillholm, Martin, 2011, IPC nr. G06T-007/00, Patentnr. WO2011151242-A1, 8 dec. 2011, Prioritetsdato 1 jun. 2010, Prioritetsnr. GB009101Publikation: Patent
- Udgivet
Method for identifying region of interest (ROI) in human organ for performing e.g. knee cartilage quantification, involves calculating weight of feature of image in map for minimizing sample size needed to discriminate between groups
Dam, E. B., Nielsen, Mads, Qazi, A. A., Lillholm, Martin & Jørgensen, D. R., 2010, IPC nr. G06K-009/00, Patentnr. US2010232671-A1, 16 sep. 2010, Prioritetsdato 17 dec. 2008, Prioritetsnr. US203094PPublikation: Patent
Mode estimation using pessimistic scale space tracking
Griffin, L. D. & Lillholm, Martin, 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Griffin, L. D. & Lillholm, M. (red.). Springer, s. 266-280 15 s. (Lecture notes in computer science, Bind 2695).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Natural image profiles are most likely to be step edges
Griffin, L. D., Lillholm, Martin & Nielsen, Mads, 2004, I: Vision Research. 44, 4, s. 407-421 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Novel image feature alphabets for object recognition
Lillholm, Martin & Griffin, L., 2008, 19th International Conference on Pattern Recognition, 2008: ICPR 2008.. IEEE, 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
On image reconstruction from multiscale top points
Kanters, F., Lillholm, Martin, Duits, R., Janssen, B., Platel, B., Florack, L. & ter Haar Romeny, B., 2005, Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005. Proceedings. Kimmel, R., Sochen, N. A. & Weickert, J. (red.). Springer, s. 431-442 12 s. (Lecture notes in computer science, Bind 3459).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
On spatial metamerism in computational vision
Lillholm, Martin, 2004, IT-Universitetet i København. 113 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
- Udgivet
On subregional analysis of cartilage loss from knee MRI
Jørgensen, D. R., Lillholm, Martin, Genant, H. K. & Dam, Erik Bjørnager, 2013, I: Cartilage. 4, 2, s. 121-130 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Jørgensen, D. R., Dam, Erik Bjørnager & Lillholm, Martin, 2013, I: Computers in Biology and Medicine. 43, 8, s. 1045-1052 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Prior knowledge regularization in statistical medical image tasks
Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Quaternions, interpolation and animation
Dam, E., Koch, M. & Lillholm, Martin, 1998, Datalogisk Institut, Københavns Universitet, 103 s. (DIKU teknisk rapport; Nr. 5, Bind 98).Publikation: Working paper › Forskning
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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, I: Cancer Epidemiology. 49, s. 53-60 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, I: Journal of Medical Imaging. 10, 5, s. 1-16 054003.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Scale Space Methods in Computer Vision: 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings
Griffin, L. D. (red.) & Lillholm, Martin (red.), 2003, Springer. (Lecture notes in computer science, Bind 2695).Publikation: Bog/antologi/afhandling/rapport › Bog › Forskning › fagfællebedømt
- Udgivet
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, I: Breast Cancer Research and Treatment. 171, 3, s. 767-776 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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, I: Breast Cancer Research. 21, 1Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment
Crimi, A., Loog, M., de Bruijne, Marleen, Nielsen, Mads & Lillholm, Martin, 2012, I: Academic Radiology. 19, 4, s. 446-454 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Single gaze gestures
Møllenbach, E., Lillholm, Martin, Gail, A. & Hansen, J. P., 2010, Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications. Association for Computing Machinery, s. 177-180 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Single stroke gaze gestures
Mollenbach, E., Hansen, J. P., Lillholm, Martin & Gale, A., 2009, CHI '09 Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery, s. 4555-4560 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Statistics and category systems for the shape index descriptor of local 2nd order natural image structure
Lillholm, Martin & Griffin, L. D., 2009, I: Image and Vision Computing. 27, 6, s. 771-781 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Symmetry sensitivities of derivative-of-gaussian filters
Griffin, L. D. & Lillholm, Martin, 2010, I: I E E E Transactions on Pattern Analysis and Machine Intelligence. 32, 6, s. 1072-1083 12 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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, I: Breast Cancer Research. 20, 10 s., 36.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Two dimensional shape representation manipulation method for improving general procrustes alignment process, involves relating probable relative depth of landmark in three dimensional shape of body part
Chernoff, K., Nielsen, Mads & Lillholm, Martin, 2010, IPC nr. G06T-007/00, Patentnr. WO2010142595-A1, 16 dec. 2010, Prioritetsdato 11 jun. 2009, Prioritetsnr. US268370Publikation: Patent
- Udgivet
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, I: IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women
Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, I: Osteoporosis International. 22, 7, s. 2119-2128 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
What do features tell about images?
Nielsen, Mads & Lillholm, Martin, 2001, Scale-Space and Morphology in Computer Vision: Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7–8, 2001 Proceedings. Kerckhove, M. (red.). Springer, s. 39-50 12 s. (Lecture notes in computer science, Bind 2106).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
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Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
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