Protein Alpha Shape Similarity Analysis (PASSA): A new method for mapping protein binding sites. Application in the design of a selective inhibitor of Tyrosine kinase 2. - Kristin Tøndel; Endre Anderssen; Finn Drabløs (J. Comput. Aided Mol. Des., 2002)

Prediction of Homology Model Quality with Multivariate Regression. - Kristin Tøndel (J. Chem. Inf. Model., 2004)

Protein Alpha Shape (PAS) Dock: A new gaussian-based score function suitable for docking in homology modelled protein structures. - Kristin Tøndel; Endre Anderssen; Finn Drabløs (J. Comput. Aided Mol. Des., 2006)

Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. - Kristin Tøndel; Ulf G. Indahl; Arne B. Gjuvsland; Jon Olav Vik; Peter J. Hunter; Stig W. Omholt; Harald Martens (BMC Syst. Biol., 2011)

Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models. - Kristin Tøndel; Ulf G. Indahl; Arne B. Gjuvsland; Stig W. Omholt; Harald Martens (BMC Syst. Biol., 2012)

Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development. - Kristin Tøndel; Steven A. Niederer; Sander Land; Nicolas Smith (BMC Syst. Biol., 2014)

A computational pipeline for quantification of mouse myocardial stiffness parameters. - Øyvind Nordbø; Pablo Lamata; Sander Land; Steven A. Niederer; Jan M. Aronsen; William E. Louch; Ivar Sjaastad; Harald Martens; Arne B. Gjuvsland; Kristin Tøndel; Hans Torp; Maélène Lohezic; et al. (Comput. Biol. Medicine, 2014)

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data. - Kristin McLeod; Kristin Tøndel; Lilian Calvet; Maxime Sermesant; Xavier Pennec (IEEE Trans. Biomed. Eng., 2018)

Metamodelling of a two-population spiking neural network. - Jan-Eirik W. Skaar; Nicolai Haug; Alexander J. Stasik; Gaute T. Einevoll; Kristin Tøndel (PLoS Comput. Biol., 2023)

Exploration of Core Concepts Required for Mid- and Domain-level Ontology Development to Facilitate Explainable-AI-readiness of Data and Models. - Martin Thomas Horsch; Silvia Chiacchiera; Ilian T. Todorov; Ana Teresa Correia 001; Aditya Dey; Natalia A. Konchakova; Sebastian Scholze; Simon Stephan; Kristin Tøndel; Arkopaul Sarkar; Mohamed-Hedi Karray; Fadi Al Machot; et al. (DAO-XAI@ECAI, 2024)