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Pradeeba Sridar
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2020 – today
- 2023
- [c3]Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim:
A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. EMBC 2023: 1-5 - [c2]Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim:
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. MICCAI (7) 2023: 283-292 - 2021
- [j2]Vishal Singh, Pradeeba Sridar, Jinman Kim, Ralph Nanan, N. Poornima, Shanmuga Priya, G. Sameera Reddy, Sathyabama Chandrasekaran, Ramarathnam Krishna Kumar:
Semantic Segmentation of Cerebellum in 2D Fetal Ultrasound Brain Images Using Convolutional Neural Networks. IEEE Access 9: 85864-85873 (2021)
2010 – 2019
- 2017
- [j1]Pradeeba Sridar, Ashnil Kumar, Changyang Li, Joyce Woo, Ann Quinton, Ron Benzie, Michael J. Peek, Dagan Feng, R. Krishna Kumar, Ralph Nanan, Jinman Kim:
Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets. IEEE J. Biomed. Health Informatics 21(4): 1069-1078 (2017) - 2016
- [c1]Ashnil Kumar, Pradeeba Sridar, Ann Quinton, Ramarathnam Krishna Kumar, Dagan Feng, Ralph Nanan, Jinman Kim:
Plane identification in fetal ultrasound images using saliency maps and convolutional neural networks. ISBI 2016: 791-794
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