Marija Pizurica

Journal Article

Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models

Francisco Carrillo-Perez, Marija Pizurica (UGent) , Michael G. Ozawa, Hannes Vogel, Robert B. West, Christina S. Kong, Luis Javier Herrera, Jeanne Shen and Olivier Gevaert

(2023) Cell Reports Methods. 3(8).

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Journal Article

Multimodal data fusion for cancer biomarker discovery with deep learning

Sandra Steyaert, Marija Pizurica (UGent) , Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles and Olivier Gevaert

(2023) Nature Machine Intelligence. 5(4). p.351-362

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Journal Article

Spatial cellular architecture predicts prognosis in glioblastoma

Yuanning Zheng, Francisco Carrillo-Perez, Marija Pizurica (UGent) , Dieter Henrik Heiland and Olivier Gevaert

(2023) Nature Communications. 14(1).

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Journal Article
A1
open access

Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer

Marija Pizurica (UGent) , Maarten Larmuseau (UGent) , Kim Van der Eecken (UGent) , Louise de Schaetzen van Brienen (UGent) , Francisco Carrillo-Perez, Simon Isphording (UGent) , Nicolaas Lumen (UGent) , Jo Van Dorpe (UGent) , Piet Ost (UGent) , Sofie Verbeke (UGent) , et al.

(2023) CANCER RESEARCH. 83(17). p.2970-2984

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Conference Paper
C1
open access

Frozen pretrained transformers for neural sign language translation

Mathieu De Coster (UGent) , Karel D'Oosterlinck (UGent) , Marija Pizurica (UGent) , Paloma Rabaey (UGent) , Severine Verlinden, Mieke Van Herreweghe (UGent) and Joni Dambre (UGent)

(2021) Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL). p.88-97

Academic Bibliography

Marija Pizurica

Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models

Multimodal data fusion for cancer biomarker discovery with deep learning

Spatial cellular architecture predicts prognosis in glioblastoma

Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer

Frozen pretrained transformers for neural sign language translation

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