Enette Mae Revilla

According to our database, Enette Mae Revilla authored at least 5 papers between 2019 and 2023.

Collaborative distances:

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

2023

Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction.

Eléonore V. Lieffrig, Tianyi Zeng, Jiazhen Zhang, Kathryn Fontaine, Xi Fang, Enette Mae Revilla, Yihuan Lu, John A. Onofrey

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

2022

An objective evaluation method for head motion estimation in PET - Motion corrected centroid-of-distribution.

Chen Sun, Enette Mae Revilla, Jiazhen Zhang, Kathryn Fontaine, Takuya Toyonaga, Jean-Dominique Gallezot, Tim Mulnix, John A. Onofrey, Richard E. Carson, Yihuan Lu

NeuroImage, 2022

Adaptive data-driven motion detection and optimized correction for brain PET.

Enette Mae Revilla, Jean-Dominique Gallezot, Mika Naganawa, Takuya Toyonaga, Kathryn Fontaine, Tim Mulnix, John A. Onofrey, Richard E. Carson, Yihuan Lu

NeuroImage, 2022

Supervised Deep Learning for Head Motion Correction in PET.

Tianyi Zeng, Jiazhen Zhang, Enette Mae Revilla, Eléonore V. Lieffrig, Xi Fang, Yihuan Lu, John A. Onofrey

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.

Luyao Shi, John A. Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Joseph Ankrah, Richard E. Carson, Chi Liu, Yihuan Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019