| A survey of crowdsourcing in medical image analysis S Ørting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ... arXiv preprint arXiv:1902.09159, 2019 | 78 | 2019 |
| Deep learning from label proportions for emphysema quantification G Bortsova, F Dubost, S Ørting, I Katramados, L Hogeweg, L Thomsen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 33 | 2018 |
| Classification of volumetric images using multi-instance learning and extreme value theorem R Tennakoon, G Bortsova, S Ørting, AK Gostar, MMW Wille, Z Saghir, ... IEEE transactions on medical imaging 39 (4), 854-865, 2019 | 21 | 2019 |
| Detecting emphysema with multiple instance learning SN Ørting, J Petersen, LH Thomsen, MMW Wille, M De Bruijne 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 15 | 2018 |
| Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review LV Bjerkén, SN Rønborg, MT Jensen, SN Ørting, OW Nielsen Heart Failure Reviews 28 (2), 419-430, 2023 | 14 | 2023 |
| A cross-center smoothness prior for variational Bayesian brain tissue segmentation WM Kouw, SN Ørting, J Petersen, KS Pedersen, M de Bruijne Information Processing in Medical Imaging: 26th International Conference …, 2019 | 12 | 2019 |
| Training shortest-path tractography: Automatic learning of spatial priors N Kasenburg, M Liptrot, NL Reislev, SN Ørting, M Nielsen, E Garde, ... NeuroImage 130, 63-76, 2016 | 12 | 2016 |
| Crowdsourced emphysema assessment SN Ørting, V Cheplygina, J Petersen, LH Thomsen, MMW Wille, ... Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 9 | 2017 |
| Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning SN Ørting, J Petersen, MMW Wille, LH Thomsen, M de Bruijne The Sixth International Workshop on Pulmonary Image Analysis, 31-42, 2016 | 9 | 2016 |
| Locally orderless tensor networks for classifying two-and three-dimensional medical images R Selvan, S Ørting, EB Dam arXiv preprint arXiv:2009.12280, 2020 | 8 | 2020 |
| Multi-layered tensor networks for image classification R Selvan, S Ørting, EB Dam arXiv preprint arXiv:2011.06982, 2020 | 4 | 2020 |
| Learning to quantify emphysema extent: What labels do we need? SN Ørting, J Petersen, LH Thomsen, MMW Wille, M de Bruijne IEEE Journal of Biomedical and Health Informatics 24 (4), 1149-1159, 2019 | 3 | 2019 |
| Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans SN Ørting, J Petersen, V Cheplygina, LH Thomsen, MMW Wille, ... arXiv preprint arXiv:1806.07131, 2018 | 2 | 2018 |
| Morphology on categorical distributions SN Ørting, HJT Stephensen, J Sporring Journal of Mathematical Imaging and Vision 65 (6), 861-873, 2023 | 1 | 2023 |
| Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans S Nyboe Ørting, J Petersen, V Cheplygina, LH Thomsen, MMW Wille, ... Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 1 | 2018 |
| A small note on variation in segmentation annotations SN Ørting arXiv preprint arXiv:2012.01975, 2020 | | 2020 |
| A small note on variation in segmentation annotations S Nyboe Ørting arXiv e-prints, arXiv: 2012.01975, 2020 | | 2020 |
| Morphology on categorical distributions S Nyboe Ørting, HJ Teglbjærg Stephensen, J Sporring arXiv e-prints, arXiv: 2012.07315, 2020 | | 2020 |
| Learning to quantify emphysema extent: What labels do we need? S Nyboe Ørting, J Petersen, LH Thomsen, MMW Wille, M de Bruijne arXiv e-prints, arXiv: 1810.07433, 2018 | | 2018 |
| Assessing emphysema in CT scans of the lungs SN Ørting | | |
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of Copenhagen在 diku.dk 的电子邮件经过验证
