24 citations · 31 across the 3 of their papers we have counts for
4 papers
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Bahareh Behboodi, Francois-Xavier Carton, Matthieu Chabanas +6
Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images play an essential role in surgical planning and resection of brain tumors. However, val…
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle +1
On-line segmentation of the uterus can aid effective image-based guidance for precise delivery of dose to the target tissue (the uterocervix) during cervix cancer radiotherapy. 3D…
Breast lesion segmentation in ultrasound images with limited annotated data
Bahareh Behboodi, Mina Amiri, Rupert Brooks +1
Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic. US im…
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
Bahareh Behboodi, Hassan Rivaz
Segmentation of ultrasound images is an essential task in both diagnosis and image-guided interventions given the ease-of-use and low cost of this imaging modality. As manual segme…