Krithika Iyer

Krithika Iyer

she/her

Postdoctoral Research Fellow, Pediatric Accelerated Intelligence (PAI) Lab

Publications

You can also find my articles on my Google Scholar profile.

Quantifying Sagittal Craniosynostosis Severity: A Machine Learning Approach With CranioRate

Published in The Cleft Palate-Craniofacial Journal, 2026

Machine learning for quantifying the severity of sagittal craniosynostosis.

Recommended citation: W. Tao, T. J. Somorin, J. Kueper, A. Dixon, N. Kass, N. Khan, K. Iyer, J. Wagoner, A. Rogers, R. Whitaker, S. Elhabian, J. A. Goldstein (2026). "Quantifying Sagittal Craniosynostosis Severity: A Machine Learning Approach With CranioRate." The Cleft Palate-Craniofacial Journal 63(6): 1708–1717. https://doi.org/10.1177/10556656251347366

Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques

Published in arXiv (preprint; revised June 2026), 2025

Adaptive post-processing to refine glioma segmentations from pretrained models, evaluated in BraTS 2025 tasks.

Recommended citation: A. Parida, D. Capellán-Martín, Z. Jiang, N. Kulkarni, K. Iyer, A. Tapp, S. M. Anwar, M. J. Ledesma-Carbayo, M. G. Linguraru (2025). "Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques." arXiv:2512.14937. Revised June 2026. https://arxiv.org/abs/2512.14937

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble

Published in arXiv (preprint; revised June 2026), 2025

A modular brain tumor segmentation pipeline combining radiomic subtyping, model ensembles, and lesion-specific processing.

Recommended citation: D. Capellán-Martín, A. Parida, Z. Jiang, N. Kulkarni, K. Iyer, A. Tapp, S. M. Anwar, M. J. Ledesma-Carbayo, M. G. Linguraru (2025). "Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble." arXiv:2512.14648. Revised June 2026. https://arxiv.org/abs/2512.14648

Post-Processing Methods for Improving Accuracy in MRI Inpainting

Published in arXiv (preprint; revised April 2026), 2025

Model ensembling and targeted post-processing to improve reconstruction of brain tissue in tumor regions.

Recommended citation: N. Kulkarni, K. Iyer, A. Tapp, A. Parida, D. Capellán-Martín, Z. Jiang, M. J. Ledesma-Carbayo, S. M. Anwar, M. G. Linguraru (2025). "Post-Processing Methods for Improving Accuracy in MRI Inpainting." arXiv:2510.15282. Revised April 2026. https://arxiv.org/abs/2510.15282

Statistical shape modeling of multi-organ anatomies with shared boundaries

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

All roads lead to rome: Diverse etiologies of tricuspid regurgitation create a predictable constellation of right ventricular shape changes

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

Integrating atomistic simulations and machine learning to design multi-principal element alloys with superior elastic modulus

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

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

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