Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
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
RENs: Relevance Encoding Networks
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
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
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
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
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
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
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images
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
Mesh2ssm: From surface meshes to statistical shape models of anatomy
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
Weakly supervised Bayesian shape modeling from unsegmented medical images
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
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
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
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism
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
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Digital Communication Teaching Assistant
Undergraduate course, University of Pune, Electronics/Telecom, 2015
Teaching Assistant for Digital Communication
- Signal processing fundamentals
- Analog-to-digital conversion
- Delivered core lecture about mathematical concepts of digital communication, managed lab sessions, and graded assignments.
- Supported student success in coursework
- Mentored students for their projects and lab sessions
Applied Machine Learning Graduate TA
Graduate course, University of Utah, Dept of Biomedical Informatics, 2018
Graduate Teaching Assistant for Applied Machine Learning
- Supported instruction on core ML models, real-world datasets, and algorithm assessment.
- Delivered lectures on foundational and applied machine learning topics, and assisted students with project design and coding.
Computer Graphics Graduate Mentorship
Graduate mentorship, University of Utah, School of Computing, 2019
Graduate Mentorship in Computer Graphics
- Guided project teams, organized seminars, supported technical presentations, and reviewed student renderings.
Image Processing Graduate Mentorship
Graduate mentorship, University of Utah, Kahlert School of Computing, 2021
Graduate Mentorship in Image Processing
- Supervised and mentored graduate students working on image processing projects, with particular emphasis on mathematical topics, denoising, and segmentation.
- Delivered the full course module on Fourier analysis, providing comprehensive lectures (with video recordings archived for student reference).
- Fostered research independence and technical mastery in advanced imaging topics
- Received positive student feedback on clarity and depth of Fourier analysis instruction
Image Analysis Seminar Graduate TA
Graduate seminar, University of Utah, Kahlert School of Computing, 2022
Image Analysis Seminar – Graduate Teaching Assistant
- Organized journal club discussions, mentored student research presentations, and guided reading assignments in advanced topics.
- Interdisciplinary approaches to image-based research
Advanced Image Processing Graduate TA
Graduate course, University of Utah, Kahlert School of Computing, 2024
Graduate Teaching Assistant for Advanced Image Processing
- Responsibilities included leading review sessions, developing problem sets, facilitating student projects, and assisting with course and project grading.
- Worked closely with faculty to deliver modules on the latest medical image analysis deep learning models.
- Deep learning for image analysis