Krithika Iyer

Orcid: 0000-0003-2295-8618

According to our database1, Krithika Iyer authored at least 23 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MRI-To-CT Synthesis with Cranial Suture Segmentations Using a Variational Autoencoder Framework.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
MRI-to-CT Synthesis With Cranial Suture Segmentations Using A Variational Autoencoder Framework.
CoRR, December, 2025

Improving Pre-trained Segmentation Models using Post-Processing.
CoRR, December, 2025

Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes.
CoRR, February, 2025

MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration.
CoRR, February, 2025

Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Post-processing Methods for Improving Accuracy in MRI Inpainting.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms.
Proceedings of the Information Processing in Medical Imaging, 2025

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
LEDA: Log-Euclidean Diffeomorphic Autoencoder for Efficient Statistical Analysis of Diffeomorphism.
CoRR, 2024

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.
CoRR, 2024

Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2023
Text document learning using distributed incremental clustering algorithm: educational certificates.
Int. J. Bus. Intell. Data Min., 2023

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.
CoRR, 2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications.
Medical Image Anal., 2022

RENs: Relevance Encoding Networks.
CoRR, 2022

Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2019
A small set of stylometric features differentiates Latin prose and verse.
Digit. Scholarsh. Humanit., 2019


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