Nivetha Jayakumar

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 7

Top Topics

Image Reconstruction

Diffusion Models

Top Venues

Publications

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
An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping. CoRR (2024)
Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang
LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation. CoRR (2024)
Nivetha Jayakumar, Jiarui Xing, Tonmoy Hossain, Frederick H. Epstein, Kenneth C. Bilchick, Miaomiao Zhang
Activation From Sparse 2D Cardiac MRIs. ML4H@NeurIPS (2023)
Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar, Thomas Eluvathingal Muttikkal, Sohil Patel, David Schiff, Miaomiao Zhang, Bijoy Kundu
Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma. CoRR (2023)
Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction. ShapeMI@MICCAI (2023)
Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction. CoRR (2023)
Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar, Thomas Eluvathingal Muttikkal, Sohil Patel, David Schiff, Miaomiao Zhang, Bijoy Kundu
Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma. ISBI (2023)