Kristin Tøndel

发表

Deep convolutional neural network recovers pure absorbance spectra from highly scatter‐distorted spectra of cells

K. Liland, A. Kohler, C. Sandt, 2020, Journal of biophotonics.

Genotype–Phenotype Map Characteristics of an In silico Heart Cell

Peter J. Hunter, Steven Niederer, Jon Olav Vik, 2011, Front. Physio..

A comparison of early redo surgery rates in Mosaic porcine and Perimount bovine pericardial valves

J. Chambers, D. Parkin, J. Roxburgh, 2018, European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery.

Using machine learning-based variable selection to identify hydrate related components from FT-ICR MS spectra

Kristin Tøndel, M. Fossen, A. Brunsvik, 2022, PloS one.

Metamodelling of a two-population spiking neural network

Alexander J. Stasik, Gaute T. Einevoll, H. Plesser, 2022, bioRxiv.

Current overview and way forward for the use of machine learning in the field of petroleum gas hydrates

Kristin Tøndel, M. Fossen, Elise Lunde Gjelsvik, 2023, Fuel.

Analyzing complex mathematical model behavior by partial least squares regression‐based multivariate metamodeling

Kristin Tøndel, Harald Martens, H. Martens, 2014 .

Multi-way metamodelling facilitates insight into the complex input-output maps of nonlinear dynamic models

Ulf G. Indahl, Stig W. Omholt, Kristin Tøndel, 2012, BMC Systems Biology.

Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models

Peter J. Hunter, Ulf G. Indahl, Stig W. Omholt, 2011, BMC Systems Biology.

Characterizing the optimal flux space of genome-scale metabolic reconstructions through modified latin-hypercube sampling.

Rakesh Bhatnagar, Neha Chaudhary, Kristin Tøndel, 2016, Molecular bioSystems.

Morphological Heterogeneity in Pancreatic Cancer Reflects Structural and Functional Divergence

Kristin Tøndel, C. Verbeke, I. Gladhaug, 2021, Cancers.

COMPUTATIONAL ANALYSIS OF THE INTERACTIONS BETWEEN THE ANGIOGENESIS INHIBITOR PD173074 AND FIBROBLAST GROWTH FACTOR RECEPTOR 1

Chung F. Wong, J. Mccammon, Kristin Tøndel, 2003 .

Multi‐level binary replacement (MBR) design for computer experiments in high‐dimensional nonlinear systems

Harald Martens, Martin Høy, Solve Sæbø, 2010 .

Is heart failure with mid range ejection fraction (HFmrEF) a distinct clinical entity or an overlap group?☆

R. Rajani, C. Rinaldi, R. Razavi, 2018, International journal of cardiology. Heart & vasculature.

Quantifying inter‐species differences in contractile function through biophysical modelling

Nicolas P Smith, Sander Land, Steven A Niederer, 2015, The Journal of physiology.

The Emerging Role of Cardiac Magnetic Resonance Imaging in the Evaluation of Patients with HFpEF

C. Rinaldi, G. Carr-White, T. Ismail, 2018, Current Heart Failure Reports.

A computational pipeline for quantification of mouse myocardial stiffness parameters

Pablo Lamata, Steven Niederer, Nicolas Smith, 2014, Comput. Biol. Medicine.

Prediction of Homology Model Quality with Multivariate Regression

Kristin Tøndel, Kristin Tøndel, 2004, J. Chem. Inf. Model..

PLS-Based Multivariate Metamodeling of Dynamic Systems

Achim Kohler, Jon Olav Vik, Stig W. Omholt, 2013 .

Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra

A. Kohler, Eirik Almklov Magnussen, Uladzislau Blazhko, 2022, Communications Chemistry.

Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data

Kristin Tøndel, M. Fossen, A. Brunsvik, 2023, Applied spectroscopy.

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

Finn Drabløs, Endre Anderssen, Kristin Tøndel, 2002, J. Comput. Aided Mol. Des..

Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models

Ulf G. Indahl, Stig W. Omholt, Jon Olav Vik, 2013 .

Metamodelling of a two-population spiking neural network

Alexander J. Stasik, Gaute T. Einevoll, H. Plesser, 2023, bioRxiv.

Multivariate Analyses and the Bridging of Biology's ‘Math‐Gap’

H. Martens, G. Cedersund, Kristin Tøndel, 2017 .

Insight into model mechanisms through automatic parameter fitting: a new methodological framework for model development

Steven Niederer, Sander Land, Nicolas Smith, 2014, BMC Systems Biology.

Protein Alpha Shape (PAS) Dock: A new gaussian-based score function suitable for docking in homology modelled protein structures

Finn Drabløs, Endre Anderssen, Kristin Tøndel, 2006, J. Comput. Aided Mol. Des..

Global structure of sloppiness in a nonlinear model

Harald Martens, Arcady Ponosov, Valeria Tafintseva, 2014 .

Design of Selective Inhibitors of Tyrosine Kinase 2

Finn Drabløs, Kristin Tøndel, F. Drabløs, 2005 .

Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data

Maxime Sermesant, Xavier Pennec, Lilian Calvet, 2018, IEEE Transactions on Biomedical Engineering.

Screening design for computer experiments: metamodelling of a deterministic mathematical model of the mammalian circadian clock

Harald Martens, Ingrid Måge, Kristin Tøndel, 2010 .