activity
20222026
most citedEnhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset

18 citations · 19 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.QM2026

Quantifying the Spatiotemporal Dynamics of Engineered Cardiac Microbundles

Hiba Kobeissi, Samuel J. DePalma, Javiera Jilberto +3

Brightfield time-lapse imaging is widely used in cardiac tissue engineering, yet the absence of standardized, interpretable analytical frameworks limits reproducibility and cross-p…

q-bio.QM2025

SarcGraph for High-Throughput Regional Analysis of Sarcomere Organization and Contractile Function in 2D Cardiac Muscle Bundles

Saeed Mohammadzadeh, Yao-Chang Tsan, Aaron Renberg +3

Timelapse images of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide rich information on cell structure and contractile function. However, it is chall…

q-bio.QM2024

MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles

Hiba Kobeissi, Xining Gao, Samuel J. DePalma +8

Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. Howeve…

q-bio.QM2023★ 1 cited

MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles

Hiba Kobeissi, Javiera Jilberto, M. Çağatay Karakan +9

Advancing human induced pluripotent stem cell derived cardiomyocyte (hiPSC-CM) technology will lead to significant progress ranging from disease modeling, to drug discovery, to reg…

q-bio.TO2023

A Data-Driven Computational Model for Engineered Cardiac Microtissues

Javiera Jilberto, Samuel J. DePalma, Jason Lo +5

Engineered heart tissues (EHTs) present a potential solution to some of the current challenges in the treatment of heart disease; however, the development of mature, adult-like car…

cs.LG2022★ 18 cited

Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset

Hiba Kobeissi, Saeed Mohammadzadeh, Emma Lejeune

Modeling biological soft tissue is complex in part due to material heterogeneity. Microstructural patterns, which play a major role in defining the mechanical behavior of these tis…