| Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs M Voets, K Møllersen, LA Bongo PloS one 14 (6), e0217541, 2019 | 143 | 2019 |
| Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists M Zortea, TR Schopf, K Thon, M Geilhufe, K Hindberg, H Kirchesch, ... Artificial intelligence in medicine 60 (1), 13-26, 2014 | 77 | 2014 |
| Recent advances in hyperspectral imaging for melanoma detection TH Johansen, K Møllersen, S Ortega, H Fabelo, A Garcia, GM Callico, ... Wiley Interdisciplinary Reviews: Computational Statistics 12 (1), e1465, 2020 | 70 | 2020 |
| Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs M Voets, K Møllersen, LA Bongo arXiv preprint arXiv:1803.04337, 2018 | 60 | 2018 |
| Unsupervised segmentation for digital dermoscopic images K Møllersen, HM Kirchesch, TG Schopf, F Godtliebsen Skin Research and Technology 16 (4), 401-407, 2010 | 41 | 2010 |
| A computer aided diagnostic system for malignant melanomas SO Skrøvseth, TR Schopf, K Thon, M Zortea, M Geilhufe, K Møllersen, ... 2010 3rd International Symposium on Applied Sciences in Biomedical and …, 2010 | 31 | 2010 |
| Computer-aided decision support for melanoma detection applied on melanocytic and nonmelanocytic skin lesions: a comparison of two systems based on automatic analysis of … K Møllersen, H Kirchesch, M Zortea, TR Schopf, K Hindberg, ... BioMed research international 2015, 2015 | 25 | 2015 |
| Divergence-based colour features for melanoma detection K Møllersen, JY Hardeberg, F Godtliebsen 2015 Colour and Visual Computing Symposium (CVCS), 1-6, 2015 | 17 | 2015 |
| Improved skin lesion diagnostics for general practice by computer-aided diagnostics K Møllersen, M Zortea, K Hindberg, TR Schopf, SO Skrøvseth, ... Dermoscopy image analysis, 257-302, 2015 | 14* | 2015 |
| A pragmatic machine learning approach to quantify Tumor-Infiltrating lymphocytes in whole slide images N Shvetsov, M Grønnesby, E Pedersen, K Møllersen, LTR Busund, ... Cancers 14 (12), 2974, 2022 | 12 | 2022 |
| Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images K Møllersen, M Zortea, TR Schopf, H Kirchesch, F Godtliebsen PloS one 12 (12), e0190112, 2017 | 12 | 2017 |
| On Data-Independent Properties for Density-Based Dissimilarity Measures in Hybrid Clustering K Møllersen, SS Dhar, F Godtliebsen arXiv preprint arXiv:1609.06533, 2016 | 9 | 2016 |
| Changes in maternal risk factors and their association with changes in cesarean sections in Norway between 1999 and 2016: A descriptive population-based registry study IH Nedberg, M Lazzerini, I Mariani, K Møllersen, EP Valente, EE Anda, ... PLoS Medicine 18 (9), e1003764, 2021 | 8 | 2021 |
| Surgeon’s experience and clinical outcome after retropubic tension‐free vaginal tape—A case series B Holdø, K Møllersen, M Verelst, I Milsom, R Svenningsen, ... Acta Obstetricia et Gynecologica Scandinavica, 2020 | 6 | 2020 |
| Unsupervised segmentation of skin lesions K Møllersen Universitetet i Tromsø, 2008 | 3 | 2008 |
| A Probabilistic Bag-to-Class Approach to Multiple-Instance Learning K Møllersen, JY Hardeberg, F Godtliebsen Data 5 (2), 56, 2020 | 2 | 2020 |
| A bag-to-class divergence approach to multiple-instance learning K Møllersen, JY Hardeberg, F Godtliebsen arXiv preprint arXiv:1803.02782, 2018 | 2 | 2018 |
| Effect of codend design and postponed bleeding on hemoglobin in cod fillets caught by bottom trawl in the Barents Sea demersal fishery TK Jensen, T Tobiassen, K Heia, K Møllersen, RB Larsen, M Esaiassen Journal of Aquatic Food Product Technology 31 (8), 775-784, 2022 | 1 | 2022 |
| Melanoma detection Colour, clustering and classification K Møllersen UiT Norges arktiske universitet, 2016 | 1 | 2016 |
| What is the state of the art? Accounting for multiplicity in machine learning benchmark performance K Møllersen, H Einar arXiv, 2023 | | 2023 |
