Martin Lillholm
Martin Lillholm
Associate Prof. Univiersity of Copenhagen, Senior Researcher, Biomediq
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Cited by
Cited by
Quaternions, interpolation and animation
EB Dam, M Koch, M Lillholm
Datalogisk Institut, Københavns Universitet, 1998
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ...
IEEE transactions on medical imaging 35 (5), 1322-1331, 2016
Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen, ...
NeuroImage: Clinical 13, 470-482, 2017
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
EB Dam, M Lillholm, J Marques, M Nielsen
Journal of Medical imaging 2 (2), 024001-024001, 2015
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ...
Scientific reports 11 (1), 3246, 2021
Feature-based image analysis
M Lillholm, M Nielsen, LD Griffin
International Journal of Computer Vision 52, 73-95, 2003
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark
M von Euler-Chelpin, M Lillholm, I Vejborg, M Nielsen, E Lynge
Breast Cancer Research 21, 1-7, 2019
Eye movements in gaze interaction
E Møllenbach, JP Hansen, M Lillholm
Journal of Eye Movement Research 6 (2), 2013
Breast tissue segmentation and mammographic risk scoring using deep learning
K Petersen, M Nielsen, P Diao, N Karssemeijer, M Lillholm
Breast Imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan …, 2014
An artificial intelligence–based mammography screening protocol for breast cancer: outcome and radiologist workload
AD Lauritzen, A Rodríguez-Ruiz, MC von Euler-Chelpin, E Lynge, ...
Radiology 304 (1), 41-49, 2022
Single gaze gestures
E Møllenbach, M Lillholm, A Gail, JP Hansen
Proceedings of the 2010 symposium on eye-tracking research & applications …, 2010
What do features tell about images?
M Nielsen, M Lillholm
Scale-Space and Morphology in Computer Vision: Third International …, 2001
Basic image features (bifs) arising from approximate symmetry type
LD Griffin, M Lillholm, M Crosier, J Van Sande
Scale Space and Variational Methods in Computer Vision: Second International …, 2009
Optimised region of interest selection
EB Dam, M Nielsen, A Qazi, M Lillholm, DR Jørgenson
US Patent 8,538,102, 2013
Impact of adding breast density to breast cancer risk models: a systematic review
BM Vilmun, I Vejborg, E Lynge, M Lillholm, M Nielsen, MB Nielsen, ...
European journal of radiology 127, 109019, 2020
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control study
RR Winkel, M von Euler-Chelpin, M Nielsen, K Petersen, M Lillholm, ...
BMC cancer 16, 1-12, 2016
Single stroke gaze gestures
E Møllenbach, JP Hansen, M Lillholm, AG Gale
CHI'09 Extended Abstracts on Human Factors in Computing Systems, 4555-4560, 2009
Screening mammography: benefit of double reading by breast density
M Euler-Chelpin, M Lillholm, G Napolitano, I Vejborg, M Nielsen, E Lynge
Breast cancer research and treatment 171, 767-776, 2018
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
M Nielsen, CM Vachon, CG Scott, K Chernoff, G Karemore, ...
Breast Cancer Research 16, 1-8, 2014
The combined effect of mammographic texture and density on breast cancer risk: a cohort study
JOP Wanders, CH van Gils, N Karssemeijer, K Holland, M Kallenberg, ...
Breast Cancer Research 20, 1-10, 2018
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