activity
20192023
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations · 1.4k across the 10 of their papers we have counts for

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Showing eess.IVShow all

7 papers · 1 filter

eess.IV2023

Simultaneous column-based deep learning progression analysis of atrophy associated with AMD in longitudinal OCT studies

Adi Szeskin, Roei Yehuda, Or Shmueli +2

Purpose: Disease progression of retinal atrophy associated with AMD requires the accurate quantification of the retinal atrophy changes on longitudinal OCT studies. It is based on…

eess.IV2022★ 1 cited

Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI

Bella Specktor Fadida, Bossmat Yehuda, Daphna Link Sourani +3

Volumetric measurements of fetal structures in MRI are time consuming and error prone and therefore require automatic segmentation. Placenta segmentation and accurate fetal brain s…

eess.IV2022★ 3 cited

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…

eess.IV2022

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…

eess.IV2022★ 63 cited

Fetal Brain Tissue Annotation and Segmentation Challenge Results

Kelly Payette, Hongwei Li, Priscille de Dumast +55

In-utero fetal MRI is emerging as an important tool in the diagnosis and analysis of the developing human brain. Automatic segmentation of the developing fetal brain is a vital ste…

eess.IV2021★ 32 cited

Automatic linear measurements of the fetal brain on MRI with deep neural networks

Netanell Avisdris, Bossmat Yehuda, Ori Ben-Zvi +6

Timely, accurate and reliable assessment of fetal brain development is essential to reduce short and long-term risks to fetus and mother. Fetal MRI is increasingly used for fetal b…

eess.IV2019★ 31 cited

Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings

Yigal Shenkman, Bilal Qutteineh, Leo Joskowicz +4

Early diagnosis of sacroiliitis may lead to preventive treatment which can significantly improve the patient's quality of life in the long run. Oftentimes, a CT scan of the lower b…