Molly Maleckar
Research Professor
- Department
- Computational Physiology
- Organisation
- Simula Research Laboratory
- mmaleck@simula.no
Publications
2024
Journal Articles
L. Myklebust, M. Maleckar and H. Arevalo
Fibrosis modeling choice affects morphology of ventricular arrhythmia in non-ischemic cardiomyopathy
Frontiers in Physiology
Book Chapters
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
2023
Journal Articles
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
Book Chapters
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
Posters
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
Talks, contributed
L. Myklebust, J. J. Uv, M. Maleckar and H. Arevalo
Maximum Fibrosis Affects Reentry Morphology in 3D Ventricular Models
Computing in Cardiology
2022
Journal Articles
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
Book Chapters
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
Conference proceedings
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)
2021
Journal Articles
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: 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
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
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
Posters
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
2020
Journal Articles
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
2019
Journal Articles
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
R. Vasan, M. Maleckar, D. Williams and P. Rangamani
DLITE Uses Cell-Cell Interface Movement to Better Infer Cell-Cell Tensions
Biophysical Journal
2018
Journal Articles
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
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
Book Chapters
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
Posters
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
2017
Journal Articles
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
Proceedings, refereed
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
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
Miscellaneous
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?
2016
Journal Articles
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
Proceedings, refereed
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