5 citations
- Tel Aviv UniversityIL4 papers
- Hebrew University of JerusalemIL3 papers
- Academic College of Tel Aviv-YafoIL1 paper
- Children's Hospital of Eastern OntarioCA1 paper
- Stanford UniversityUS1 paper
- University College HospitalGB1 paper
- University College LondonGB1 paper
- University of OttawaCA1 paper
- Wellcome / EPSRC Centre for Interventional and Surgical SciencesGB1 paper
4 papers
Partial annotations for the segmentation of large structures with low annotation cost
Bella Specktor Fadida, Daphna Link Sourani, Liat Ben Sira Elka Miller +2
Deep learning methods have been shown to be effective for the automatic segmentation of structures and pathologies in medical imaging. However, they require large annotated dataset…
Automatic fetal fat quantification from MRI
Netanell Avisdris, Aviad Rabinowich, Daniel Fridkin +9
Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive o…
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Netanell Avisdris, Leo Joskowicz, Brian Dromey +5
Fetal growth assessment from ultrasound is based on a few biometric measurements that are performed manually and assessed relative to the expected gestational age. Reliable biometr…
Learning Personal Representations from fMRIby Predicting Neurofeedback Performance
Jhonathan Osin, Lior Wolf, Guy Gurevitch +5
We present a deep neural network method for learning a personal representation for individuals that are performing a self neuromodulation task, guided by functional MRI (fMRI). Thi…