Ghent University Academic Bibliography

Your filters: cql: author="Gevaert, Olivier" or (type any "bookEditor issueEditor" and editor="Gevaert, Olivier")

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- Conference Paper
- open access
Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images

Max Hallemeesch, Marija Pizurica (UGent) , Paloma Rabaey (UGent) , Olivier Gevaert, Thomas Demeester (UGent) and Kathleen Marchal (UGent)

(2025) Imageomics-AAAI-25 , Discovering Biological Knowledge from Images using AI, part of AAAI 2025.
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- Journal Article
- A1
- open access
Towards a more inductive world for drug repurposing approaches

Jesus de la Fuente, Guillermo Serrano, Uxía Veleiro, Mikel Casals, Laura Vera, Marija Pizurica (UGent) , Nuria Gómez-Cebrián, Leonor Puchades-Carrasco, Antonio Pineda-Lucena, Idoia Ochoa, et al.

(2025) NATURE MACHINE INTELLIGENCE. 7(3). p.495-508
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- Miscellaneous
Synthetic multimodal data modelling for data imputation

Francisco Carrillo-Perez, Marija Pizurica (UGent) , Kathleen Marchal (UGent) and Olivier Gevaert

(2024) NATURE BIOMEDICAL ENGINEERING.
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- Journal Article
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Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models

Francisco Carrillo-Perez, Marija Pizurica (UGent) , Yuanning Zheng, Tarak Nath Nandi, Ravi Madduri, Jeanne Shen and Olivier Gevaert

(2024) NATURE BIOMEDICAL ENGINEERING. 8(5).
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- Journal Article
- A1
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Digital profiling of gene expression from histology images with linearized attention

Marija Pizurica (UGent) , Yuanning Zheng, Francisco Carrillo-Perez, Humaira Noor, Wei Yao, Christian Wohlfart, Antoaneta Vladimirova, Kathleen Marchal (UGent) and Olivier Gevaert

(2024) NATURE COMMUNICATIONS. 15(1).
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GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks

Uxia Veleiro, Jesus de la Fuente, Guillermo Serrano, Marija Pizurica (UGent) , Mikel Casals, Antonio Pineda-Lucena, Silve Vicent, Idoia Ochoa, Olivier Gevaert and Mikel Hernaez

(2024) BIOINFORMATICS. 40(1).
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Abstract LB272: Spatial cellular architecture predicts prognosis in glioblastoma

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

(2023) CANCER RESEARCH. 83(8).
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- Journal Article
- A1
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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
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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Abstract 4270: Prediction of cancer transcriptomes from whole-slide images with Vis-Gene

Yuanning Zheng, Marija Pizurica (UGent) , Francisco Carrillo-Perez, Christian Wohlfart, Wei Yao, Nadia Shamout, Olivier Gevaert and Antoaneta Vladimirova

(2023) CANCER RESEARCH. 83(7).

Academic Bibliography

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images

Towards a more inductive world for drug repurposing approaches

Synthetic multimodal data modelling for data imputation

Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models

Digital profiling of gene expression from histology images with linearized attention

GeNNius: an ultrafast drug-target interaction inference method based on graph neural networks

Abstract LB272: Spatial cellular architecture predicts prognosis in glioblastoma

Spatial cellular architecture predicts prognosis in glioblastoma

Multimodal data fusion for cancer biomarker discovery with deep learning

Abstract 4270: Prediction of cancer transcriptomes from whole-slide images with Vis-Gene

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