📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Projective Latent Interventions for Understanding and Fine-Tuning Classifiers

First Author: Hinterreiter A

Attributed to: Automated Fetal and Neonatal Movement Assessment for Very Early Health Assessment funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-61166-8_2

Publication URI: http://dx.doi.org/10.1007/978-3-030-61166-8_2

Type: Book Chapter

Book Title: Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings (2020)

Page Reference: 13-22