108 citations · 118 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment
Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie +2
We present a novel deep learning approach to categorical segmentation of lung CTs of COVID-19 patients. Specifically, we partition the scans into healthy lung tissues, non-lung reg…
eess.IV2019★ 9 cited
The Worrisome Impact of an Inter-rater Bias on Neural Network Training
Or Shwartzman, Harel Gazit, Ilan Shelef +1
The problem of inter-rater variability is often discussed in the context of manual labeling of medical images. The emergence of data-driven approaches such as Deep Neural Networks…
cs.CR2019★ 108 cited
CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
Yisroel Mirsky, Tom Mahler, Ilan Shelef +1
In 2018, clinics and hospitals were hit with numerous attacks leading to significant data breaches and interruptions in medical services. An attacker with access to medical records…