Search Results for author: Eytan Kats

Found 3 papers, 1 papers with code

Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation

1 code implementation12 Jan 2024 Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich

This paper demonstrates a self-supervised framework for learning voxel-wise coarse-to-fine representations tailored for dense downstream tasks.

Image Segmentation Medical Image Segmentation +3

A Soft STAPLE Algorithm Combined with Anatomical Knowledge

no code implementations26 Oct 2019 Eytan Kats, Jacob Goldberger, Hayit Greenspan

Supervised machine learning algorithms, especially in the medical domain, are affected by considerable ambiguity in expert markings.

Segmentation

Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation

no code implementations26 Jan 2019 Eytan Kats, Jacob Goldberger, Hayit Greenspan

Detection and segmentation of MS lesions is a complex task largely due to the extreme unbalanced data, with very small number of lesion pixels that can be used for training.

Lesion Segmentation Segmentation

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