E-LIB Suche - Ergebnisse für: Pizurica, Marija

1

Generation of synthetic whole-slide image tiles of tumours ..:

Carrillo-Perez, Francisco ; Pizurica, Marija ; Zheng, Yuanning...
Nature Biomedical Engineering. , 2024

Link: https://doi.org/10.1038/..

2

Synthetic whole-slide image tile generation with gene expre..:

Carrillo-Perez, Francisco ; Pizurica, Marija ; Ozawa, Michael G....
Cell Reports Methods. 3 (2023) 8 - p. 100534 , 2023

Link: https://doi.org/10.1016/..

3

Multimodal data fusion for cancer biomarker discovery with ..:

Steyaert, Sandra ; Pizurica, Marija ; Nagaraj, Divya...
Nature Machine Intelligence. 5 (2023) 4 - p. 351-362 , 2023

Link: https://doi.org/10.1038/..

4

Whole Slide Imaging-Based Prediction of TP53 Mutations Iden..:

Pizurica, Marija ; Larmuseau, Maarten ; Van der Eecken, Kim...
Cancer Research. 83 (2023) 17 - p. 2970-2984 , 2023

Link: https://doi.org/10.1158/..

5

Spatial cellular architecture predicts prognosis in gliobla..:

Zheng, Yuanning ; Carrillo-Perez, Francisco ; Pizurica, Marija..
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

6

GeNNius: an ultrafast drug–target interaction inference met..:

Veleiro, Uxía ; de la Fuente, Jesús ; Serrano, Guillermo...
Bioinformatics. 40 (2023) 1 - p. , 2023

Link: https://doi.org/10.1093/..

7

Whole Slide Imaging-Based Prediction of TP53 Mutations Iden..:

Pizurica, Marija ; Carrillo Pérez, Francisco
Pizurica, M., Larmuseau, M., Van der Eecken, K., de Schaetzen van Brienen, L., Carrillo-Perez, F., Isphording, S., . & Marchal, K. (2023). Whole slide imaging-based prediction of TP53 mutations identifies an aggressive disease phenotype in prostate cancer. Cancer Research, CAN-22.[doi:10.1158/0008-5472.CAN-22-3113]. , 2023

Link: https://hdl.handle.net/1..

8

Multimodal data fusion for cancer biomarker discovery with ..:

Steyaert, Sandra ; Pizurica, Marija ; Nagaraj, Divya...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484010/. , 2023

Link: http://www.ncbi.nlm.nih...

9

Spatial cellular architecture predicts prognosis in gliobla..:

Zheng, Yuanning ; Carrillo-Perez, Francisco ; Pizurica, Marija..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336135/. , 2023

Link: http://www.ncbi.nlm.nih...

10

Synthetic whole-slide image tile generation with gene expre..:

Carrillo-Perez, Francisco ; Pizurica, Marija ; Ozawa, Michael G...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475789/. , 2023

Link: http://www.ncbi.nlm.nih...

11

Towards a more inductive world for drug repurposing approac..:

de la Fuente, Jesus ; Serrano, Guillermo ; Veleiro, Uxía...
http://arxiv.org/abs/2311.12670. , 2023

Link: http://arxiv.org/abs/231..

12

Spatial cellular architecture predicts prognosis in gliobla..:

Zheng, Yuanning ; Carrillo-Perez, Francisco ; Pizurica, Marija..
https://freidok.uni-freiburg.de/data/238488. , 2023

Link: https://freidok.uni-frei..

13

Whole Slide Imaging-Based Prediction of TP53 Mutations Iden..:

Pizurica, Marija ; Larmuseau, Maarten ; Van der Eecken, Kim...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538366/. , 2023

Link: http://www.ncbi.nlm.nih...

14

Spatial cellular architecture predicts prognosis in gliobla..:

Yuanning Zheng ; Francisco Carrillo-Perez ; Marija Pizurica..
https://doi.org/10.1038/s41467-023-39933-0. , 2023

Link: https://doi.org/10.1038/..

15

Understanding skin color bias in deep learning-based skin l..:

Benčević, Marin ; Habijan, Marija ; Galić, Irena..
Computer Methods and Programs in Biomedicine. 245 (2024) - p. 108044 , 2024

Link: https://doi.org/10.1016/..