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Bahareh Behboodi
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2020 – today
- 2022
- [i4]Bahareh Behboodi, François-Xavier Carton, Matthieu Chabanas, Sandrine de Ribaupierre, Ole Solheim, Bodil K. R. Munkvold, Hassan Rivaz, Yiming Xiao, Ingerid Reinertsen
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RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. CoRR abs/2207.07494 (2022) - 2021
- [i3]Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle, Emma Harris:
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning. CoRR abs/2109.09283 (2021) - 2020
- [j1]Mina Amiri, Rupert Brooks, Bahareh Behboodi, Hassan Rivaz:
Two-stage ultrasound image segmentation using U-Net and test time augmentation. Int. J. Comput. Assist. Radiol. Surg. 15(6): 981-988 (2020) - [c3]Bahareh Behboodi, Maryse Fortin, Clyde J. Belasso, Rupert Brooks, Hassan Rivaz:
Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-Net. EMBC 2020: 2117-2120 - [c2]Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data. ISBI 2020: 1834-1837 - [i2]Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast lesion segmentation in ultrasound images with limited annotated data. CoRR abs/2001.07322 (2020)
2010 – 2019
- 2019
- [c1]Bahareh Behboodi, Hassan Rivaz:
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data. EMBC 2019: 6628-6631 - [i1]Bahareh Behboodi, Hassan Rivaz:
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data. CoRR abs/1904.11031 (2019)
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