Published in IPMI, 2025
Statistical analysis of diffeomorphic deformations.
Recommended citation: K. Iyer, S. Elhabian, S. Joshi (2024). "LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism." arXiv:2412.16129. https://arxiv.org/abs/2412.16129
Published in MIDL, 2025
Population-aware regularization in image registration with Log-Euclidean approach.
Recommended citation: M.S.T. Karanam, K. Iyer, S. Joshi, S. Elhabian (2025). "MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration." arXiv:2502.02029. https://arxiv.org/abs/2502.02029
Published in ShapeMI MICCAI, 2024
Bayesian shape modeling from unsegmented images with weak supervision.
Recommended citation: J. Adams, K. Iyer, S. Y. Elhabian (2024). "Weakly supervised Bayesian shape modeling from unsegmented medical images." ShapeMI 1-17. https://arxiv.org/abs/2405.09697
Published in MICCAI, 2023
A novel pipeline enabling direct construction of statistical shape models from mesh data.
Recommended citation: K. Iyer, S.Y. Elhabian (2023). "Mesh2ssm: From surface meshes to statistical shape models of anatomy." MICCAI. https://arxiv.org/abs/2305.07805
Published in SHAPE-MI MICCAI 2023, 2023
Adversarial data augmentation approach for robust statistical shape modeling.
Recommended citation: M.S.T. Karanam, T. Kataria, K. Iyer, S. Elhabian (2023). "ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images." arXiv:2307.03273. https://arxiv.org/abs/2307.03273
Published in Frontiers in Bioengineering and Biotechnology, 2023
Building statistical shape models for multi-organ systems sharing anatomical boundaries.
Recommended citation: K. Iyer, A. Morris, B. Zenger, K. Karanth, N. Khan, B.A. Orkild, O. Korshak, S. Elhabian (2023). "Statistical shape modeling of multi-organ anatomies with shared boundaries." Frontiers in Bioengineering and Biotechnology 10: 1078800. https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2022.1078800/full
Published in Frontiers in Physiology, 2022
Shape changes in right ventricle due to diverse etiologies of tricuspid regurgitation.
Recommended citation: B.A. Orkild, B. Zenger, K. Iyer, L.C. Rupp, M.M. Ibrahim, A.G. Khashani, S.Y. Elhabian (2022). "All roads lead to rome: Diverse etiologies of tricuspid regurgitation create a predictable constellation of right ventricular shape changes." Frontiers in Physiology 13: 908552. https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2022.908552/full
Published in STACOM MICCAI, 2022
Statistical modeling of biventricular heart anatomy with anatomical boundary sharing.
Recommended citation: K. Iyer, A. Morris, B. Zenger, K. Karanth, B.A. Orkild, O. Korshak, S. Elhabian (2022). "Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries." arXiv:2209.02706. https://arxiv.org/abs/2209.02706
Published in Journal of Materials Research, 2022
Combining molecular simulations and ML for accelerated discovery of advanced alloys.
Recommended citation: M. Grant, M.R. Kunz, K. Iyer, L.I. Held, T. Tasdizen, J.A. Aguiar, P.P. Dholabhai (2022). "Integrating atomistic simulations and machine learning to design multi-principal element alloys with superior elastic modulus." Journal of Materials Research 37(8): 1497-1512. https://link.springer.com/article/10.1557/s43578-022-00557-7
Published in arXiv, 2022
Network model for encoding relevance in unsupervised learning.
Recommended citation: K. Iyer, R. Bhalodia, S. Elhabian (2022). "RENs: Relevance Encoding Networks." arXiv:2205.13061. https://arxiv.org/abs/2205.13061
Published in Medical Image Analysis, 2022
Systematic benchmarking of statistical shape modeling tools for clinical workflows on real-world anatomical datasets.
Recommended citation: A. Goparaju, K. Iyer, A. Bône, N. Hu, H.B. Henninger, A.E. Anderson, S. Elhabian (2022). "Benchmarking off-the-shelf statistical shape modeling tools in clinical applications." Medical Image Analysis 76: 102271. https://doi.org/10.1016/j.media.2021.102271