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ORCIDNaomi Kifle
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2020 – today
- 2024
[c3]Naomi Kifle, Bo Ning, In-Seok Song, Ava Jiao, Saige Teti, Daniel A. Donoho, Jeremy Kang, Ashley Yoo, Chima Oluigbo, Robert Keating, Richard Jaepyeong Cha:
Automated Intraoperative Visual Detection of Pediatric Epileptogenic Brain Lesions Using a Machine Learning Classifier. EMBC 2024: 1-4- 2022
- [c2]Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King:
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI 2022: 168-177 - [i2]Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King:
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. CoRR abs/2208.03305 (2022) - 2021
- [c1]Jorge Mariscal Harana, Naomi Kifle, Reza Razavi
, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. STACOM@MICCAI 2021: 84-92 - [i1]Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón:
Improved AI-based segmentation of apical and basal slices from clinical cine CMR. CoRR abs/2109.09421 (2021)
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