Emma Lejeune

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Automated Segmentation

Unsupervised Learning

Emergent Behavior

Top Venues

J. Open Source Softw.

Comput. Aided Des.

Publications

Peerasait Prachaseree, Saeed Mohammadzadeh, Berkin Dortdivanlioglu, Emma Lejeune
FEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanics. J. Open Source Softw. 9 (94) (2024)
Lingxiao Yuan, Emma Lejeune, Harold S. Park
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials. CoRR (2024)
Saeed Mohammadzadeh, Emma Lejeune
SarcGraph: A Python package for analyzing the contractile behavior of pluripotent stem cell-derived cardiomyocytes. J. Open Source Softw. 8 (87) (2023)
Quan Nguyen, Emma Lejeune
Segmenting mechanically heterogeneous domains via unsupervised learning. CoRR (2023)
Lingxiao Yuan, Harold S. Park, Emma Lejeune
Towards out of distribution generalization for problems in mechanics. CoRR (2022)
Peerasait Prachaseree, Emma Lejeune
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks. CoRR (2022)
Hiba Kobeissi, Saeed Mohammadzadeh, Emma Lejeune
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset. CoRR (2022)
Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics. CoRR (2022)
S. Mohammadzadeh, Emma Lejeune
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels. CoRR (2021)
Emma Lejeune
Geometric Stability Classification: Datasets, Metamodels, and Adversarial Attacks. Comput. Aided Des. 131 (2021)
Bill Zhao, Kehan Zhang, Christopher S. Chen, Emma Lejeune
Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes. PLoS Comput. Biol. 17 (10) (2021)
Emma Lejeune, Alex Khang, Jacob Sansom, Michael S. Sacks
FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment. SoftwareX 11 (2020)
Emma Lejeune, Bill Zhao
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation. CoRR (2020)