Pradeeba Sridar

According to our database, Pradeeba Sridar authored at least 5 papers between 2016 and 2023.

Collaborative distances:

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

2023

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function.

Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm.

Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks.

Vishal Singh, Pradeeba Sridar, Jinman Kim, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar

IEEE Access, 2021

2017

Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets.

Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim

IEEE J. Biomed. Health Informatics, 2017

2016

Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks.

Ashnil Kumar, Pradeeba Sridar, Ann Quinton, Ramarathnam Krishna Kumar, Dagan Feng, Ralph Nanan, Jinman Kim

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016