no code implementations • 5 Jul 2022 • Tal Ben-Haim, Ron Moshe Sofer, Gal Ben-Arie, Ilan Shelef, Tammy Riklin-Raviv
This is accomplished via a unique, end-to-end hierarchical network architecture and ensemble learning, which contribute to the segmentation and provide a measure for segmentation uncertainty.
no code implementations • 7 Dec 2020 • Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their analysis.
no code implementations • 12 Jun 2019 • Or Shwartzman, Harel Gazit, Ilan Shelef, Tammy Riklin-Raviv
In this paper, we highlight the issue of inter-rater bias as opposed to random inter-observer variability and demonstrate its influence on DNN training, leading to different segmentation results for the same input images.
1 code implementation • 12 Dec 2018 • Itay Benou, Tammy Riklin-Raviv
We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography.