Molly Maleckar

K. J. McCabe, N. Forsch, A. G. Edwards and M. Maleckar

Summer School in Computational Physiology: A Collaborative Course in Modeling Excitable Tissues

The Biophysicist

L. Myklebust, M. Maleckar and H. Arevalo

Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy

Frontiers in Physiology

A. Bertrand, C. Yamamoto, G. Monopoli, T. Schrotter, L. Myklebust, J. J. Uv, H. Arevalo and M. Maleckar

Augmentation of Cardiac Ischemic Geometry for Improving Machine Learning Performance in Arrhythmic Risk Stratification

Computational Physiology: Simula Summer School 2023 − Student Reports

N. T. Herrera, X. Zhang, H. Ni, M. Maleckar, J. Heijman, D. Dobrev, E. Grandi and S. Morotti

Dual effects of the small-conductance Ca2+-activated K+ current on human atrial electrophysiology and Ca2+-driven arrhythmogenesis: an in silico study

American Journal of Physiology-Heart and Circulatory Physiology

K. Ngo, N. T. Herrera, M. Folkmanaite, K. Yamamoto and M. Maleckar

In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes

Computational Physiology: Simula Summer School 2022− Student Reports

K. Ngo, N. T. Herrera, M. Folkmanaite, K. Yamamoto and M. Maleckar

In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes

Computational Physiology: Simula Summer School 2022 - Student Reports

Å. Telle, M. Maleckar, J. Sundnes, S. Wall and P. M. Boyle

Contractility and Local Stress Patterns Depend on Directionality of Fibrosis Progression: Insights From Microscale Biomechanical Simulations

Circulation Supplement

L. Myklebust, J. J. Uv, M. Maleckar and H. Arevalo

Maximum Fibrosis Affects Reentry Morphology in 3D Ventricular Models

Computing in Cardiology

J. T. Koivumäki, J. Hoffman, M. Maleckar, G. T. Einevoll and J. Sundnes

Computational cardiac physiology for new modelers: origins, foundations, and future

Acta Physiologica

J. L. Isaksen, M. Baumert, A. N. Hermans, M. Maleckar and D. Linz

Artificial intelligence for the detection, prediction, and management of atrial fibrillation

Herzschrittmachertherapie+ Elektrophysiologie

R. M. Donovan-Maiye, J. M. Brown, C. K. Chan, L. Ding, C. Yan, N. Gaudreault, J. A. Theriot, M. Maleckar, T. A. Knijnenburg and G. R. Johnson

A deep generative model of 3D single-cell organization

PLOS Computational Biology

K. Yamamoto, S. Fischer-Holzhausen, M. P. Fjeldstad and M. Maleckar

Ordinary Differential Equation-based Modeling of Cells in Human Cartilage

Computational Physiology: Simula Summer School 2021− Student Reports

K. Yamamoto, S. Fischer-Holzhausen, M. P. Fjelstad and M. Maleckar

Ordinary Differential Equation-based Modeling of Cells in Human Cartilage

Computational Physiology - Simula Summer School 2021 - Student Reports

G. Balaban, E. W. Aabel, M. Ribe, A. I. Castrini, K. H. Haugaa and M. Maleckar

Towards an Automated Pipeline to Create Patient Specific 3D LV Geometry Models of Patients with Mitral Annular Disjunction

2022 Computing in Cardiology (CinC)

A. R. Sridhar, Z. Chen, J. J. Mayfield, A. E. Fohner, P. Arvanitis, S. Atkinson, F. Braunschweig, N. A. Chatterjee, A. F. Zamponi, G. Johnson, S. A. Joshi, M. C. Lassen, J. E. Poole, C. Rumer, K. G. Skaarup, T. Biering-Sørensen, C. Blomstrom-Lundqvist, C. M. Linde, M. Maleckar and P. M. Boyle

Identifying Risk of Adverse Outcomes in COVID-19 Patients via Artificial Intelligence-Powered Analysis of 12-Lead Intake Electrocardiogram

Cardiovascular digital health journal

M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski, T. Jespersen, J. Tfelt-Hansen and H. Arevalo

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, I. Strümke, H. L. Hammer, M. Maleckar, P. Halvorsen, M. Riegler and J. K. Kanters

DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine

Scientific Reports

A. Mobasheri and M. Maleckar

The bioelectricity of connective tissue cells and their environments: bridging the gap

Bioelectricity

S. Fischer-Holzhausen, K. Yamamoto, M. P. Fjelstad and M. Maleckar

Probing the putative role of KATP channels and biological variability in a mathematical model of chondrocyte electrophysiology

Bioelectricity

S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen, T. Hansen, C. Graff, N. Holstein-Rathlou, P. Halvorsen, M. Maleckar, M. Riegler and J. K. Kanters

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports

M. Maleckar, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrom, K. A. Ahtarovski, T. Jespersen, J. Tfelt-Hansen and H. Arevalo

B-PO02-022 Combining simulation and machine learning to accurately predict arrhythmic risk in post-infarction patients

Heart Rhythm

M. Maleckar, P. Martín-Vasallo, W. R. Giles and A. Mobasheri

Physiological effects of the electrogenic current generated by the Na+/K+ pump in mammalian articular chondrocytes

Bioelectricity

M. Maleckar, P. Martín-Vasallo, W. R. Giles and A. Mobasheri

Physiological Effects of the Electrogenic Current Generated by the Na+/K+ Pump in Mammalian Articular Chondrocytes

Bioelectricity

A. Tveito, K. H. Jæger, M. Maleckar, W. R. Giles and S. Wall

Computational translation of drug effects from animal experiments to human ventricular myocytes

Nature Scientific Reports

K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology

R. Vasan, M. Maleckar, D. Williams and P. Rangamani

DLITE uses cell-cell interface movement to better infer cell-cell tensions

Biophysical journal

R. Vasan, M. Maleckar, D. Williams and P. Rangamani

DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions

Biophysical Journal

M. R. Vagos, J. Heijman, H. Arevalo, M. Maleckar, B. L. de Oliveira, U. Schotten and J. Sundnes

A Novel Computational Model of the Rabbit Atrial Myocyte Offers Insight into Calcium Wave Propagation Failure

Biophysical Journal

I. van Herck, B. H. Bentzen, V. Seutin, H. Arevalo, M. Maleckar, N. Marrion and A. G. Edwards

Model development of sk channel gating incorporating calcium sensitivity and drug interaction

Biophysical Journal

S. Morotti, N. Ellinwood, H. Ni, J. T. Koivumäki, M. Maleckar, J. Heijman, D. Dobrev and E. Grandi

Effects of modulation of small-conductance calcium-activated potassium current on atrial electrophysiology and arrhythmogenesis: a population-based computational study

Biophysical Journal

C. Ounkomol, S. Seshamani, M. Maleckar, F. Collman and G. R. Johnson

Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy

Nature methods

M. Maleckar, R. B. Clark, B. Votta and W. R. Giles

The resting potential and K+ currents in primary human articular chondrocytes

Frontiers in physiology

S. Behdadfar, L. Navarro, J. Sundnes, M. Maleckar, H. H. Odland and S. Avril

Abnormal Tissue Zone Detection and Average Active Stress Estimation in Patients with LV Dysfunction

Medical and Biological Image Analysis

I. G. M. van Herck, B. H. Bentzen, V. Seutin, J. Koivumäki, M. Maleckar, N. Marrion and A. G. Edwards

In silico Model of Gating Kinetics, Temperature Dependence and Calcium Sensitivity of the SK Channel

I. G. M. van Herck, B. H. Bentzen, V. Seutin, H. Arevalo, M. Maleckar, N. Marrion and A. G. Edwards

Model development of SK channel gating incorporating calcium sensitivity and drug interaction

M. R. Vagos, H. Arevalo, B. L. de Oliveira, J. Sundnes and M. Maleckar

A computational framework for testing arrhythmia marker sensitivities to model parameters in functionally calibrated populations of atrial cells

Chaos: An Interdisciplinary Journal of Nonlinear Science

S. Behdadfar, L. Navarro, J. Sundnes, M. Maleckar, S. Ross, H. H. Odland and S. Avril

A centerline-based model morphing algorithm for patient-specific finite element modeling of the left ventricle

IEEE Transactions on Biomedical Engineering

S. Behdadfar, L. Navarro, J. Sundnes, M. Maleckar and S. Avril

Importance of material parameters and strain energy function on the wall stresses in the left ventricle

Computer methods in biomechanics and biomedical engineering

M. Maleckar, A. G. Edwards, W. E. Louch and G. T. Lines

Studying dyadic structure–function relationships: a review of current modeling approaches and new insights into ca2+ (mis) handling

Clinical Medicine Insights: Cardiology

K. A. Ahtarovski, T. Jespersen, R. Jabbari, C. Glinge, N. Vejlstrup, T. Engstrom, M. Maleckar and K. McLeod

A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction

Functional Imaging and Modelling of the Heart: 9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings

T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, T. Engstrom, M. Maleckar and K. McLeod

From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline

Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

M. Marciniak, H. Arevalo, J. Tfelt-Hansen, K. A. Ahtarovski, T. Jespersen, R. Jabbari, C. Glinge, N. Vejlstrup, T. Engstrom, M. Maleckar and o.

A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction

International Conference on Functional Imaging and Modeling of the Heart

L. Belardinelli, M. Maleckar and W. R. Giles

Ventricular Microanatomy, Arrhythmias, and the Electrochemical Driving Force for Na+ Is There a Need for Flipped Learning?

S. Morotti, J. T. Koivumäki, M. Maleckar, N. Chiamvimonvat and E. Grandi

Small-conductance Ca2+-activated K+ current in atrial fibrillation: both friend and foe

Biophysical Journal

G. T. Lines, B. L. de Oliveira, O. Skavhaug and M. Maleckar

Simple t-wave metrics may better predict early ischemia as compared to st segment

IEEE Transactions on Biomedical Engineering

E. Grandi and M. Maleckar

Anti-arrhythmic strategies for atrial fibrillation: the role of computational modeling in discovery, development, and optimization

Pharmacology & therapeutics

L. Skibsbye, T. Jespersen, T. Christ, M. Maleckar, J. van den Brink, P. Tavi and J. T. Koivumäki

Refractoriness in human atria: time and voltage dependence of sodium channel availability

Journal of molecular and cellular cardiology

M. Marciniak, H. Arevalo, J. Tfelt-Hansen, T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, T. Engstrom and M. Maleckar

From CMR image to patient-specific simulation and population-based analysis: tutorial for an openly available image-processing pipeline

International Workshop on Statistical Atlases and Computational Models of the Heart