David M. Umulis

16 papers C 5Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs.
Int. J. Comput. Vis.
Amirhossein Amiri-Hezaveh, Shelly Tan, Qing Deng, David M. Umulis, Lauren Cunniff, Johannes Weickenmeier, Adrian Buganza Tepole
2024 — conf
Inverse Problem Antidote (IPA): Modeling of Systems Biology Model with Invertible Neural Networks.
BIBM
Linlin Li, Shenyu Lu, David M. Umulis, Xiaoqian Wang
2023 — conf
3D nuclei segmentation for multi-cellular quantification of zebrafish embryos using NISNet3D.
3DIA
Linlin Li, Liming Wu, Alain Chen, Edward J. Delp, David M. Umulis
2022 J jnl
PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data.
Eng. Comput.
Aishwarya Pawar, Linlin Li, Arun Gosain, David M. Umulis, Adrian Buganza Tepole
2021 J jnl
Heterodimer-heterotetramer formation mediates enhanced sensor activity in a biophysical model for BMP signaling.
PLoS Comput. Biol.
Md. Shahriar Karim, Aasakiran Madamanchi, James A. Dutko, Mary C. Mullins, David M. Umulis
2019 C conf
An Investigation of Undergraduates' Computational Thinking in a Sophomore-Level Biomedical Engineering Course.
FIE
Huma Shoaib, Monica Cardella, Aasakiran Madamanchi, David M. Umulis
2019 C conf
Computation, Gender, and Engineering Identity Among Biomedical Engineering Undergraduates.
FIE
Huma Shoaib, Monica E. Cardella, Aasakiran Madamanchi, David M. Umulis
2019 — conf
Ground Truth Annotator and 3D Dataset Generator for Validation of Nuclei Segmentation Programs.
CISP-BMEI
Tzu-Ching Wu, Xu Wang, David M. Umulis
2018 C conf
Factors Mediating Learning and Application of Computational Modeling by Life Scientists.
FIE
Aasakiran Madamanchi, Monica E. Cardella, James A. Glazier, David M. Umulis
2018 C conf
Leveraging Compute Clusters for Large-Scale Parametric Screens of Reaction-Diffusion Systems.
PDP
Md. Shahriar Karim, Hans G. Othmer, David M. Umulis
2018 C conf
Qualitative Findings from Study of Interdisciplinary Education in Computational Modeling for Life Sciences Student Researchers from Emerging Research Institutions.
FIE
Aasakiran Madamanchi, Shenika V. Poindexter, Monica E. Cardella, James A. Glazier, David M. Umulis
2017 J jnl
An Integrative multi-lineage model of variation in leukopoiesis and acute myelogenous leukemia.
BMC Syst. Biol.
Joyatee M. Sarker, Serena M. Pearce, Robert P. Nelson Jr., Tamara Kinzer-Ursem, David M. Umulis, Ann E. Rundell
2016 — conf
A point matching algorithm for point set registration.
CISP-BMEI
Yan Huang, David M. Umulis
2014 J jnl
Model-Based Analysis for Qualitative Data: An Application in
PLoS Comput. Biol.
Michael Pargett, Ann E. Rundell, Gregery T. Buzzard, David M. Umulis
2012 — conf
Scale invariance of morphogen-mediated patterning by flux optimization.
BMEI
David M. Umulis, Hans G. Othmer
2011 — conf
Steady state probability approximation applied to stochastic model of biological network.
GENSiPS
Md. Shahriar Karim, David M. Umulis, Gregery T. Buzzard