Nivetha Jayakumar

According to our database, Nivetha Jayakumar authored at least 5 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.

Rugved Chavan, Gabriel Hyman, Zoraiz Qureshi, Nivetha Jayakumar, William Terrell, Stuart Berr, David Schiff, Megan Wardius, Nathan Fountain, Thomas Eluvathingal Muttikkal, Mark Quigg, Miaomiao Zhang, Bijoy Kundu

CoRR, 2024

LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation.

Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2023

Activation From Sparse 2D Cardiac MRIs.

Nivetha Jayakumar, Jiarui Xing, Tonmoy Hossain, Frederick H. Epstein, Kenneth C. Bilchick, Miaomiao Zhang

Proceedings of the Machine Learning for Health, 2023

SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction.

Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang

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

Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma.

Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar, Thomas Eluvathingal Muttikkal, Sohil Patel, David Schiff, Miaomiao Zhang, Bijoy Kundu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023