| Quaternions, interpolation and animation EB Dam, M Koch, M Lillholm Datalogisk Institut, Københavns Universitet, 1998 | 608 | 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 | 531 | 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 | 176 | 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 | 127 | 2015 |
| 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 | 100 | 2022 |
| 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 | 88 | 2021 |
| 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 | 88 | 2019 |
| Feature-based image analysis M Lillholm, M Nielsen, LD Griffin International Journal of Computer Vision 52, 73-95, 2003 | 82 | 2003 |
| Eye movements in gaze interaction E Møllenbach, JP Hansen, M Lillholm Journal of Eye Movement Research 6 (2), 2013 | 78 | 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 | 68 | 2014 |
| What do features tell about images? M Nielsen, M Lillholm Scale-Space and Morphology in Computer Vision: Third International …, 2001 | 59 | 2001 |
| Single gaze gestures E Møllenbach, M Lillholm, A Gail, JP Hansen Proceedings of the 2010 symposium on eye-tracking research & applications …, 2010 | 57 | 2010 |
| 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 | 52 | 2020 |
| 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 | 51 | 2009 |
| 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 | 47 | 2016 |
| 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 | 46 | 2018 |
| Optimised region of interest selection EB Dam, M Nielsen, A Qazi, M Lillholm, DR Jørgenson US Patent 8,538,102, 2013 | 46 | 2013 |
| 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 | 45 | 2009 |
| 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 | 44 | 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 | 42 | 2014 |
Mads NielsenProfessor of Computer Science, University of CopenhagenПотвърден имейл адрес: diku.edu
