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Stein Olav Skrøvseth
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2010 – 2019
- 2019
- [j11]Primoz Kocbek
, Nino Fijacko, Cristina Soguero-Ruíz
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Comput. Math. Methods Medicine 2019: 2059851:1-2059851:13 (2019) - 2017
- [j10]Karl Øyvind Mikalsen, Cristina Soguero-Ruíz
Using anchors from free text in electronic health records to diagnose postoperative delirium. Comput. Methods Programs Biomed. 152: 105-114 (2017) - 2016
- [j9]Cristina Soguero-Ruíz
Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods. J. Biomed. Informatics 61: 87-96 (2016) - [j8]Cristina Soguero-Ruíz
Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records. IEEE J. Biomed. Health Informatics 20(5): 1404-1415 (2016) - 2015
- [j7]Stein Olav Skrøvseth, Knut Magne Augestad, Shahram Ebadollahi:
Data-driven approach for assessing utility of medical tests using electronic medical records. J. Biomed. Informatics 53: 270-276 (2015) - [j6]Aldo Badano
Consistency and Standardization of Color in Medical Imaging: a Consensus Report. J. Digit. Imaging 28(1): 41-52 (2015) - [c6]Cristina Soguero-Ruíz, Fei Wang, Robert Jenssen, Knut Magne Augestad, José Luis Rojo-Álvarez, Inmaculada Mora-Jiménez, Rolv-Ole Lindsetmo, Stein Olav Skrøvseth:
Data-driven Temporal Prediction of Surgical Site Infection. AMIA 2015 - 2014
- [j5]Maciel Zortea, Thomas R. Schopf
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. Artif. Intell. Medicine 60(1): 13-26 (2014) - [j4]Jörn Schulz, Stein Olav Skrøvseth
A semiautomatic tool for prostate segmentation in radiotherapy treatment planning. BMC Medical Imaging 14: 4 (2014) - [c5]Stein Olav Skrøvseth, Knut Magne Augestad, Shahram Ebadollahi:
Quantifying the Utility of Medical Tests using Longitudinal EHR Data. AMIA 2014 - [c4]Cristina Soguero-Ruíz
Bootstrap resampling feature selection and Support Vector Machine for early detection of Anastomosis Leakage. BHI 2014: 577-580 - 2013
- [c3]Eirik Årsand, Stein Olav Skrøvseth, Ole K. Hejlesen
Mobile Patient Applications within Diabetes - from Few and Easy to Advanced Functionalities. MedInfo 2013: 1010 - 2012
- [j3]Kevin Thon, Håvard Rue, Stein Olav Skrøvseth
Bayesian multiscale analysis of images modeled as Gaussian Markov random fields. Comput. Stat. Data Anal. 56(1): 49-61 (2012) - [c2]Stein Olav Skrøvseth, André Dias, Lukas Gorzelniak, Fred Godtliebsen, Alexander Horsch
Scale-Space Methods for Live Processing of Sensor Data. MIE 2012: 138-142 - 2011
- [j2]Stein Olav Skrøvseth
Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values. Comput. Math. Methods Medicine 2011: 672039:1-672039:7 (2011) - [j1]Maciel Zortea, Stein Olav Skrøvseth
Automatic Segmentation of Dermoscopic Images by Iterative Classification. Int. J. Biomed. Imaging 2011: 972648:1-972648:19 (2011) - 2010
- [c1]Stein Olav Skrøvseth
Statistical Modeling of Aggregated Lifestyle and Blood Glucose Data in Type 1 Diabetes Patients. eTELEMED 2010: 130-133
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