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Christina Gsaxner

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

most citedExploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

19 citations · 32 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2020★ 8 cited

A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge

Jianning Li, Antonio Pepe, Christina Gsaxner +2

In this study, we present a baseline approach for AutoImplant (https://autoimplant.grand-challenge.org/) - the cranial implant design challenge, which, as suggested by the organize…

physics.med-ph2020★ 5 cited

An Online Platform for Automatic Skull Defect Restoration and Cranial Implant Design

Jianning Li, Antonio Pepe, Christina Gsaxner +1

We introduce a fully automatic system for cranial implant design, a common task in cranioplasty operations. The system is currently integrated in Studierfenster (http://studierfens…

cs.CV2019★ 19 cited

Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

Christina Gsaxner, Peter M. Roth, Jürgen Wallner +1

We present an approach for fully automatic urinary bladder segmentation in CT images with artificial neural networks in this study. Automatic medical image analysis has become an i…

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