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Emilia Gryska
Affiliated to Research
Department ofAbout 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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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 -
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