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2023
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1. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Liland, Kristian Hovde; Tøndel, Kristin. Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data. Applied Spectroscopy 2023 ;Volum 77.(10) NMBU SINTEF
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2. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Liland, Kristian Hovde; Tøndel, Kristin. Exploring the possibilities of a regression model for the prediction of wetting index from crude oils. Oil Field Chemistry Symposium 2023; 2023-03-14 - 2023-03-17 NMBU SINTEF
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3. |
Gjelsvik, Elise Lunde; Tøndel, Kristin. Increased interpretation of deep learning models using hierarchical cluster-based modelling. PLOS ONE 2023 ;Volum 18.(12) s. 1-21 NMBU
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4. |
Magnussen, Eirik Almklov; Zimmermann, Boris; Blazhko, Uladzislau; Dzurendová, Simona; Byrtusova, Dana; Dupuy--Galet, Benjamin Xavier; Tafintseva, Valeria; Liland, Kristian Hovde; Tøndel, Kristin; Shapaval, Volha; Kohler, Achim. Infrared Diffraction Microtomography of Biological Cells by Solving the Inverse Scattering Problem. International Conference on Advanced Vibrational Spectrocsopy; 2023-08-27 - 2023-09-01 NMBU
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5. |
Skaar, Jan-Eirik Welle; Haug, Nicolai; Stasik, Alexander Johannes; Einevoll, Gaute; Tøndel, Kristin. Metamodelling of a two-population spiking neural network. PLoS Computational Biology 2023 ;Volum 19.(11) s. - NMBU UiO
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2022
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6. |
Fossen, Martin; Brunsvik, Anders; Gjelsvik, Elise Lunde; Wolden, Marita; Lund, Are; Tøndel, Kristin. A new high pressure method for successive accumulation of hydrate active components. European Conference on Gas Hydrates; 2022-06-13 - 2022-06-16 NMBU SINTEF
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7. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Tøndel, Kristin. Developing machine learning models for identifying chemical components from wide and short FT-ICR mass spectrometry data. Data Analysis in Spectroscopy and Imaging Young Scientists Workshop; 2022-05-05 - 2022-05-05 NMBU SINTEF
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8. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Tøndel, Kristin. Identifying components related to hydrate formation by machine learning-based variable selection. Oil Field Chemistry Symposium 2022; 2022-03-23 - 2022-03-25 NMBU SINTEF
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9. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Tøndel, Kristin. Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra. PLOS ONE 2022 ;Volum 17.(8) s. 1-20 NMBU SINTEF
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10. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Weging, Sylvia; Tøndel, Kristin. Utilization of machine learning on FT-ICR MS spectra for improved understanding and prediction of theproperties of hydrate-active components. European Conference on Gas Hydrates; 2022-06-13 - 2022-06-16 NMBU SINTEF
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11. |
Gjelsvik, Elise Lunde; Fossen, Martin; Tøndel, Kristin. Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates. Fuel 2022 ;Volum 334.(2) s. 1-13 SINTEF NMBU
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12. |
Magnussen, Eirik Almklov; Zimmermann, Boris; Blazhko, Uladzislau; Dzurendová, Simona; Byrtusova, Dana; Dupuy--Galet, Benjamin Xavier; Tafintseva, Valeria; Liland, Kristian Hovde; Tøndel, Kristin; Shapaval, Volha; Kohler, Achim. Deep Learning-enabled Inference of Absorption Distribution in Biological Cells from FT-IR Spectra. Spring SciX; 2022-04-11 - 2022-04-14 NMBU
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13. |
Magnussen, Eirik Almklov; Zimmermann, Boris; Blazhko, Uladzislau; Dzurendová, Simona; Byrtusova, Dana; Dupuy--Galet, Benjamin Xavier; Tafintseva, Valeria; Liland, Kristian Hovde; Tøndel, Kristin; Shapaval, Volha; Kohler, Achim. Deep Learning-enabled Inference of 3D Molecular Absorption Distribution of Biological Cells from IR Spectroscopic Data. European Conference on the Spectroscopy of Biological Molecules; 2022-08-29 - 2022-09-01 NMBU
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14. |
Magnussen, Eirik Almklov; Zimmermann, Boris; Blazhko, Uladzislau; Dzurendová, Simona; Dupuy--Galet, Benjamin Xavier; Byrtusova, Dana; Muthreich, Florian; Tafintseva, Valeria; Liland, Kristian Hovde; Tøndel, Kristin; Shapaval, Volha; Kohler, Achim. Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra. Communications chemistry 2022 ;Volum 5.(1) s. - NMBU UiB
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15. |
Skaar, Jan-Eirik Welle; Stasik, Alexander Johannes; Plesser, Hans Ekkehard; Einevoll, Gaute; Tøndel, Kristin. Metamodelling of a two-population spiking neural network. bioRxiv 2022 NMBU UiO SINTEF
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16. |
Tøndel, Kristin. Multivariate metamodelling. Data Analysis in Spectroscopy and Imaging Young Scientists Workshop; 2022-05-05 - 2022-05-05 NMBU
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2021
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17. |
Gjelsvik, Elise Lunde; Fossen, Martin; Brunsvik, Anders; Tøndel, Kristin. Towards a machine learning based produced for interpretation of mass spectra for better understanding of hydrate phenomena in oil systems. 17th Scandinavian Symposium on Chemometrics; 2021-09-06 - 2021-09-09 NMBU SINTEF
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18. |
Gjelsvik, Elise Lunde; Fossen, Martin; Tøndel, Kristin. Machine learning as a basis for better understanding of flow assurance through FT-ICR-MS analysis of gas hydrates. Oil Field Chemistry Symposium 2021; 2021-05-05 - 2021-05-06 NMBU SINTEF
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19. |
Santha, Petra; Lenggenhager, Daniela; Vefferstad, Anette; Dorg, Linda Trobe; Tøndel, Kristin; Amrutkar, Manoj; Gladhaug, Ivar Prydz; Verbeke, Caroline Sophie. Morphological heterogeneity in pancreatic cancer reflects structural and functional divergence. Cancers 2021 ;Volum 13.(4) s. - OUS UiO NMBU
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20. |
Tøndel, Kristin. Facilitating optimization using metamodelling. Towards multipurpose neural network models II: Model testing and model fitting.; 2021-09-29 - 2021-10-01 NMBU
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2020
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21. |
Magnussen, Eirik Almklov; Solheim, Johanne Heitmann; Blazhko, Uladzislau; Tafintseva, Valeria; Tøndel, Kristin; Liland, Kristian Hovde; Dzurendova, Simona; Shapaval, Volha; Sandt, Christophe; Borondics, Ferenc; Kohler, Achim. Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells. Journal of Biophotonics 2020 ;Volum 13.(12) s. - NMBU NTNU
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22. |
Magnussen, Eirik Almklov; Solheim, Johanne Heitmann; Blazhko, Uladzislau; Tafintseva, Valeria; Tøndel, Kristin; Liland, Kristian Hovde; Dzurendova, Simona; Shapaval, Volha; Sandt, Christophe; Borondics, Ferenc; Kohler, Achim. Descattering Autoencoder for Fast Mie Scatter Correction of Infrared Microscopy Spectra. SciX 2020; 2020-10-12 - 2020-10-16 NMBU
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23. |
Trukhan, Stanislau; Tafintseva, Valeria; Tøndel, Kristin; Großerueschkamp, Frederik; Mosig, Axel; Kovalev, Vassili; Gerwert, Klaus; Kohler, Achim. Grayscale representation of infrared microscopy images by Extended Multiplicative Signal Correction for registration with histological images. Journal of Biophotonics 2020 ;Volum 13.(8) NMBU
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2019
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24. |
Trukhan, Stanislau; Tafintseva, Valeria; Tøndel, Kristin; Großerueschkamp, Frederik; Mosig, Axel; Kovalev, Vassili; Kohler, Achim. EMSC-based image registration of infrared images and histological H&E stained images. Workshop on Machine Learning and Chemometrics in Biospectroscopy; 2019-08-18 - 2019-08-21 NMBU
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25. |
Tøndel, Kristin; Tafintseva, Valeria; Shapaval, Volha; Kohler, Achim. Comparison of classification methods for genus and species classification of FTIR spectra of moulds, yeasts and bacteria. Workshop on Machine Learning and Chemometrics in Biospectroscopy; 2019-08-18 - 2019-08-21 NMBU
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2018
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26. |
Mcleod, Kristin; Tøndel, Kristin; Calvet, Lilian; Sermesant, Maxime; Pennec, Xavier. Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. IEEE Transactions on Biomedical Engineering 2018 ;Volum 65.(12) s. 2769-2780
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27. |
Tøndel, Kristin. Multivariat Metamodellering. Seminar; 2018-03-02 - 2018-03-02 NMBU
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28. |
Tøndel, Kristin. Multivariate metamodelling and heterogeneous modelling. Seminar; 2018-10-08 - 2018-10-08 NMBU
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29. |
Tøndel, Kristin. Multivariate metamodelling, combining top-down data-driven modelling with bottom-up theory-driven modelling. Arctic Analyses - Heading for the Future; 2018-04-16 - 2018-04-20 NMBU
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30. |
Webb, Jessica; Draper, Jane; Fovargue, Lauren; Sieniewicz, Benjamin; Gould, Justin; Claridge, Simon; Barton, Carys; Smith, Silapiya; Tøndel, Kristin; Ronak, Rajani; Kapetanakis, Stamatis; Rinaldi, Christopher A; McDonagh, Theresa A.; Razavi, Reza; Carr-White, Gerald. Is heart failure with mid range ejection fraction (HFmrEF) a distinct clinical entity or an overlap group?. International journal of cardiology: Heart and Vasculature (IJCHA) 2018 ;Volum 21. s. 1-6 NMBU SSB
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31. |
Webb, Jessica; Fovargue, Lauren; Tøndel, Kristin; Porter, Bradley; Sieniewicz, Benjamin; Gould, Justin; Rinaldi, Christopher Aldo; Ismail, Tevfik; Chiribiri, Amedeo; Carr-White, Gerald. The emerging role of cardiac magnetic resonance imaging in the evaluation of patients with HFpEF. Current Heart Failure Reports 2018 ;Volum 15.(1) s. 1-9 SSB NMBU
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32. |
Webb, Jessica; Parkin, Denise; Tøndel, Kristin; Simitsis, Panagiotis; Roxburgh, James; Chambers, John B.. A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves. European Journal of Cardio-Thoracic Surgery 2018 ;Volum 54.(4) s. 724-728 NMBU
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33. |
Webb, Jessica; Parkin, Denise; Tøndel, Kristin; Simitsis, Panagiotis; Roxburgh, James; Chambers, John B.. Corrigendum: 'A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves' [Eur J Cardiothorac Surg, (2018)] doi:10.1093/ejcts/ezy113. European Journal of Cardio-Thoracic Surgery 2018 ;Volum 53.(6) s. 1301-1301 NMBU
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2017
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34. |
Skjaervold, Nils Kristian; Brovold, Helge; Rahmati, Hodjatolah; Martens, Harald; Tøndel, Kristin; Cedersund, Gunnar; Munck, Lars M.. Multivariate Analyses and the Bridging of Biology's ‘Math-Gap’. I: Encyclopedia of analytical chemistry. John Wiley & Sons 2017 ISBN 9780470027318. s. 1-23 NTNU SSB
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2016
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35. |
Chaudhary, Neha; Tøndel, Kristin; Bhatnagar, Rakesh; Martins Dos Santos, Vitor A.P.; Puchalka, Jacek. Characterizing the optimal flux space of genome-scale metabolic reconstructions through modified latin-hypercube sampling. Molecular Biosystems 2016 ;Volum 12.(3) s. 994-1005 NMBU
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2015
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36. |
Tøndel, Kristin; Land, Sander; Niederer, Steven A.; Smith, Nicolas P.. Quantifying inter-species differences in contractile function through biophysical modelling. Journal of Physiology 2015 ;Volum 593.(5) s. 1083-1111 NMBU
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2014
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37. |
Nordbø, Øyvind; Lamata, P.; Land, Sander; Niederer, Steven A.; Aronsen, Jan Magnus; Louch, William Edward; Sjaastad, Ivar; Martens, Harald; Gjuvsland, Arne Bjørke; Tøndel, Kristin; Torp, Hans; Lohezic, M; Schneider, Jürgen; Remme, Espen W.; Smith, Nicolas P; Omholt, Stig W; Vik, Jon Olav. A computational pipeline for quantification of mouse myocardial stiffness parameters. Computers in Biology and Medicine 2014 ;Volum 53. s. 65-75 UiO NMBU OUS NTNU ONH
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38. |
Tafintseva, Valeria; Tøndel, Kristin; Ponossov, Arkadi; Martens, Harald. Global structure of sloppiness in a nonlinear model. Journal of Chemometrics 2014 ;Volum 28.(8) s. 645-655 NMBU NTNU
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39. |
Tøndel, Kristin; Niederer, Steven A.; Land, Sander; Smith, Nicolas P.. Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development. BMC Systems Biology 2014 ;Volum 8.(59) NMBU
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2013
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40. |
Martens, Harald; Tøndel, Kristin; Wu, Tim; Omholt, Stig W. What does my model really do, - how can I improve it and speed it up, - what are its best parameter values, and how sure can I be about all of this?. Mathematical Methods and Modeling of Biophysical Phenomena; 2013-03-04 - 2013-03-08 NOFIMA NTNU NMBU
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41. |
Martens, Harald; Tøndel, Kristin; Wu, Tim; Omholt, Stig W. What does my model really do, - how can I improve it and speed it up, - what are its best parameter values, and how sure can I be about all of this?. Scandinavian Symposium on Chemometrics; 2013-06-01 - 2013-06-02 NOFIMA UiO NMBU
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42. |
Tøndel, Kristin; Vik, Jon Olav; Martens, Harald; Indahl, Ulf Geir; Smith, Nic; Omholt, Stig W. Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models. Chemometrics and Intelligent Laboratory Systems 2013 ;Volum 120. s. 25-41 NMBU
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43. |
Martens, Harald; Tafintseva, Valeria; Isaeva, Julia; Nhek, Sarin; Nordbø, Øyvind; Tøndel, Kristin. Computational Biology and the Structure of Doubt. International Conference on Systems Biology (ICSB); 2013-08-30 - 2013-09-03 NOFIMA NMBU
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44. |
Martens, Harald; Tøndel, Kristin. What does my model really do, - how can I improve it and speed it up, - what are its best parameter values, and how sure can I be about all of this?. Scandinavian Symposium on Chemometrics (ssc13); 2013-06-01 - 2013-06-02 NOFIMA NMBU
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45. |
Martens, Harald; Tøndel, Kristin; Tafintseva, Valeria; Kohler, Achim; Plahte, Erik; Vik, Jon Olav; Gjuvsland, Arne Bjørke; Omholt, Stig W. PLS-Based Multivariate Metamodeling of Dynamic Systems. I: New Perspectives in Partial Least Squares and Related Methods. Springer 2013 ISBN 978-1-4614-8283-3. s. 3-30 NOFIMA NMBU
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2012
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46. |
Tøndel, Kristin; Indahl, Ulf Geir; Gjuvsland, Arne Bjørke; Omholt, Stig W; Martens, Harald. Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models. BMC Systems Biology 2012 ;Volum 6. NOFIMA NMBU
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47. |
Tafintseva, Valeria; Tøndel, Kristin; Ponossov, Arkadi; Martens, Harald. Inverse problem for models with many-to-one ambiguity. 2nd African-European Conference on Chemometrics (Afrodata 2012).; 2012-11-19 - 2012-11-23 NMBU
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2011
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48. |
Martens, Harald; Tøndel, Kristin; Isaeva, Julia; Vik, Jon Olav; Gjuvsland, Arne Bjørke; Plahte, Erik; Omholt, Stig W. Multivariate metamodelling for simplifying complex mathematical models in biology. 4th Cardiac Physiome Workshop, Merton College, Oxford, 8 –10 July 2011.; 2011-07-08 - 2011-07-10 NOFIMA NMBU
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49. |
Martens, Harald; Tøndel, Kristin; Vik, Jon Olav; Isaeva, Julia; Sæbø, Solve; Kohler, Achim; Omholt, Stig W. Making the modeller's life easier: Assessing, comparing and simplifying high-dimensional mathematical models by multivariate bi-linear metamodelling. Seminar, NTNU; 2011-05-27 - 2011-05-27 NOFIMA NMBU
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50. |
Tøndel, Kristin; Indahl, Ulf Geir; Gjuvsland, Arne Bjørke; Vik, Jon Olav; Hunter, Peter J; Omholt, Stig W; Martens, Harald. Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. BMC Systems Biology 2011 ;Volum 5. s. - NMBU
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