| Analysis of free text in electronic health records for identification of cancer patient trajectories K Jensen, C Soguero-Ruiz, K Oyvind Mikalsen, RO Lindsetmo, ... Scientific reports 7 (1), 46226, 2017 | 145 | 2017 |
| Time series cluster kernel for learning similarities between multivariate time series with missing data KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen Pattern Recognition 76, 569-581, 2018 | 116 | 2018 |
| Mixing up contrastive learning: Self-supervised representation learning for time series K Wickstrøm, M Kampffmeyer, KØ Mikalsen, R Jenssen Pattern Recognition Letters 155, 54-61, 2022 | 88 | 2022 |
| Learning representations of multivariate time series with missing data FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen Pattern Recognition 96, 106973, 2019 | 79* | 2019 |
| Robust clustering using a kNN mode seeking ensemble JN Myhre, KØ Mikalsen, S Løkse, R Jenssen Pattern Recognition 76, 491-505, 2018 | 54 | 2018 |
| Noisy multi-label semi-supervised dimensionality reduction KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, R Jenssen Pattern Recognition 90, 257-270, 2019 | 40 | 2019 |
| Uncertainty-aware deep ensembles for reliable and explainable predictions of clinical time series K Wickstrøm, KØ Mikalsen, M Kampffmeyer, A Revhaug, R Jenssen IEEE Journal of Biomedical and Health Informatics 25 (7), 2435-2444, 2020 | 37 | 2020 |
| Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks AS Strauman, FM Bianchi, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, ... 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 28 | 2018 |
| Maximizing Interpretability and Cost‐Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature‐Specific Regularized Logistic Regression on Preoperative … P Kocbek, N Fijacko, C Soguero-Ruiz, KØ Mikalsen, U Maver, ... Computational and mathematical methods in medicine 2019 (1), 2059851, 2019 | 23 | 2019 |
| Using anchors from free text in electronic health records to diagnose postoperative delirium KØ Mikalsen, C Soguero-Ruiz, K Jensen, K Hindberg, M Gran, ... Computer Methods and Programs in Biomedicine 152, 105-114, 2017 | 16 | 2017 |
| Relax: Representation learning explainability KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, K Mikalsen, ... International Journal of Computer Vision, 1-27, 2023 | 12 | 2023 |
| Learning similarities between irregularly sampled short multivariate time series from EHRs KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, SO Skrøvseth, RO Lindsetmo, ... | 12 | 2016 |
| A clinically motivated self-supervised approach for content-based image retrieval of CT liver images KK Wickstrøm, EA Østmo, K Radiya, KØ Mikalsen, MC Kampffmeyer, ... Computerized Medical Imaging and Graphics 107, 102239, 2023 | 9 | 2023 |
| Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review K Radiya, HL Joakimsen, KØ Mikalsen, EK Aahlin, RO Lindsetmo, ... European Radiology 33 (10), 6689-6717, 2023 | 8 | 2023 |
| Time series cluster kernels to exploit informative missingness and incomplete label information KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen Pattern Recognition, 107896, 2021 | 8 | 2021 |
| Selective imputation for multivariate time series datasets with missing values A Blázquez-García, K Wickstrøm, S Yu, KØ Mikalsen, A Boubekki, ... IEEE Transactions on Knowledge and Data Engineering 35 (9), 9490-9501, 2023 | 7 | 2023 |
| Learning compressed representations of blood samples time series with missing data FM Bianchi, KØ Mikalsen, R Jenssen arXiv preprint arXiv:1710.07547, 2017 | 7 | 2017 |
| An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples KØ Mikalsen, C Soguero-Ruiz, FM Bianchi, A Revhaug, R Jenssen arXiv preprint arXiv:1803.07879, 2018 | 6 | 2018 |
| Consensus clustering using knn mode seeking JN Myhre, KØ Mikalsen, S Løkse, R Jenssen Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015 | 6 | 2015 |
| AI risk score on screening mammograms preceding breast cancer diagnosis M Larsen, CF Olstad, HW Koch, MA Martiniussen, SR Hoff, ... Radiology 309 (1), e230989, 2023 | 4 | 2023 |
Robert JenssenVisual Intelligence, UiT The Arctic University of Norway & Norw. Comp. Center & P1 Centre AI, UCPH在 uit.no 的电子邮件经过验证
