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Emilia Gryska
Affiliated to Research
Department of OrthopaedicsAbout Emilia Gryska
Emilia Gryska will defended her doctoral thesis in the research subject of medical radiation science, October 7, 2022
The title of her thesis is – Automatic tumour segmentation in brain images - moving towards clinical implementation
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An exploratory study of the impact of CT slice thickness and inter-rater variability on anatomical accuracy of malunited distal radius models and surgical guides for corrective
osteotomy
Emilia Gryska, Per Fredrikson, Katleen Libberecht, Charlotte Stor Swinkels, Peter Axelsson, Anders Björkman
PLOS ONE - 2024 -
Prediction of neurologic outcome after out-of- hospital cardiac arrest: An interpretable approach with machine
learning
Araz Rawshani, Fredrik Hessulf, John Deminger, Pedram Sultanian, Vibha Gupta, Peter Lundgren, Mohammed Mohammed, Moner Abu Alchay, Tobias Sioland, Emilia Gryska, Adam Piasecki
RESUSCITATION - 2024 -
Improving standard volar plate fixation in 3D-guided corrective osteotomy of the distal radius: evaluation of a shim
instrument
Emilia Gryska, Katleen Libberecht, Charlotte Stor Swinkels, Peter Axelsson, Per Fredrikson, Anders Björkman
JOURNAL OF PLASTIC SURGERY AND HAND SURGERY - 2024 -
Trust and stakeholder perspectives on the implementation of AI tools in clinical
radiology.
Magnus Bergquist, Bertil Rolandsson, Emilia Gryska, Mats Laesser, Nickoleta Hoefling, Rolf A. Heckemann, Justin F. Schneiderman, Isabella Björkman-Burtscher
European Radiology - 2024 -
Approaching Peak Ground
Truth
Florian Kofler, Johannes Wahle, Ivan Ezhov, Sophia J. Wagner, Rami Al-Maskari, Emilia Gryska, Mihail Todorov, Christina Bukas, Felix Meissen, Tingying Peng, Ali Erturk, Daniel Rueckert, Rolf Heckemann, Jan Kirschke, Claus Zimmer, Benedikt Wiestler, Bjoern Menze, Marie Piraud
Proceedings - International Symposium on Biomedical Imaging - 2023 -
Automatic tumour segmentation in brain images: moving towards clinical
implementation
Emilia Gryska
2022 -
Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication
study.
Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås, Justin F. Schneiderman, Rolf A. Heckemann
BMJ open - 2022 -
Automatic brain lesion segmentation on standard magnetic resonance images: a scoping
review.
Emilia Gryska, Justin F. Schneiderman, Isabella Björkman-Burtscher, Rolf A. Heckemann
BMJ open - 2021 -
Automatic brain lesion segmentation on standard MRIs of the human head: a scoping review
protocol.
Emilia Gryska, Justin F. Schneiderman, Rolf A. Heckemann
BMJ open - 2019