Mokshagna Sai Teja Karanam

According to our database, Mokshagna Sai Teja Karanam authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Krithika Iyer, Mokshagna Sai Teja Karanam, Shireen Y. Elhabian

CoRR, February, 2025

MORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration.

Mokshagna Sai Teja Karanam, Krithika Iyer, Sarang C. Joshi, Shireen Y. Elhabian

CoRR, February, 2025

2024

EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration.

Abu Zahid Bin Aziz, Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian

CoRR, 2024

2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images.

Mokshagna Sai Teja Karanam, Tushar Kataria, Shireen Y. Elhabian

CoRR, 2023

An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report.

Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images.

Mokshagna Sai Teja Karanam, Tushar Kataria, Krithika Iyer, Shireen Y. Elhabian

Proceedings of the Shape in Medical Imaging - International Workshop, 2023