| Quaternions, interpolation and animation EB Dam, M Koch, M Lillholm Datalogisk Institut, Københavns Universitet, 1998 | 548 | 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 | 456 | 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 | 146 | 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 | 116 | 2015 |
| Feature-based image analysis M Lillholm, M Nielsen, LD Griffin International Journal of Computer Vision 52, 73-95, 2003 | 75 | 2003 |
| 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), 1-12, 2021 | 67 | 2021 |
| 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 | 64 | 2014 |
| Eye movements in gaze interaction E Møllenbach, JP Hansen, M Lillholm Journal of Eye Movement Research 6 (2), 2013 | 62 | 2013 |
| 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 | 58 | 2019 |
| What do features tell about images? M Nielsen, M Lillholm Scale-Space and Morphology in Computer Vision: Third International …, 2001 | 57 | 2001 |
| Single gaze gestures E Møllenbach, M Lillholm, A Gail, JP Hansen Proceedings of the 2010 symposium on eye-tracking research & applications …, 2010 | 50 | 2010 |
| 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 | 50 | 2009 |
| Optimised region of interest selection EB Dam, M Nielsen, A Qazi, M Lillholm, DR Jørgenson US Patent 8,538,102, 2013 | 44 | 2013 |
| 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), 1-12, 2016 | 41 | 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 | 40 | 2009 |
| 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 (2), 1-8, 2014 | 37 | 2014 |
| On image reconstruction from multiscale top points F Kanters, M Lillholm, R Duits, B Janssen, B Platel, L Florack, ... Scale Space and PDE Methods in Computer Vision: 5th International Conference …, 2005 | 33 | 2005 |
| 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 | 32 | 2018 |
| Natural image profiles are most likely to be step edges LD Griffin, M Lillholm, M Nielsen Vision research 44 (4), 407-421, 2004 | 32 | 2004 |
| 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 | 31 | 2018 |
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
