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Immature MEF2C-dysregulated T-cell leukemia patients have an early T-cell precursor acute lymphoblastic leukemia gene signature and typically have non-rearranged T-cell receptors

Haematologica (Roma), 2014-01, Vol.99 (1), p.94-102

2014

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An expanded universe of cancer targets

Cell, 2021-03, Vol.184 (5), p.1142-1155

2021

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Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

Cell systems, 2020-08, Vol.11 (2), p.186-195.e9

2020

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MethylMix: an R package for identifying DNA methylation-driven genes

Bioinformatics, 2015-06, Vol.31 (11), p.1839-1841

Gevaert, Olivier

2015

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Deep learning with multimodal representation for pancancer prognosis prediction

Bioinformatics, 2019-07, Vol.35 (14), p.i446-i454

2019

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Meta-learning reduces the amount of data needed to build AI models in oncology

British journal of cancer, 2021-08, Vol.125 (3), p.309-310

Gevaert, Olivier

2021

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Abstract IA-23: Multi-scale modeling of cancer patients

Clinical cancer research, 2021-03, Vol.27 (5_Supplement), p.IA-23-IA-23

Gevaert, Olivier

2021

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A meta-learning approach for genomic survival analysis

Nature communications, 2020-12, Vol.11 (1), p.6350-6350, Article 6350

2020

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MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation

BMC bioinformatics, 2017-01, Vol.18 (1), p.32-32, Article 32

2017

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Abstract IA32: Multiscale modeling of lung cancer

Clinical cancer research, 2018-09, Vol.24 (17_Supplement), p.IA32-IA32

Gevaert, Olivier

2018

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Topological image modification for object detection and topological image processing of skin lesions

Scientific reports, 2020-12, Vol.10 (1), p.21061-21061, Article 21061

2020

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Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Medical image analysis, 2017-08, Vol.40, p.172-183

2017

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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

The European respiratory journal, 2019-03, Vol.53 (3), p.1800986

2019

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Spatial cellular architecture predicts prognosis in glioblastoma

Nature communications, 2023-07, Vol.14 (1), p.4122-4122, Article 4122

2023

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Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction

IEEE journal of biomedical and health informatics, 2022-10, Vol.26 (10), p.5033-5041

2022

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Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

Radiology, 2014-10, Vol.273 (1), p.168-174

2014

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Development and characterization of protein kinase B/AKT isoform-specific nanobodies

PloS one, 2020-10, Vol.15 (10), p.e0240554-e0240554

2020

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Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning

NPJ precision oncology, 2021-09, Vol.5 (1), p.87-87, Article 87

2021

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Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

Radiology, 2012-08, Vol.264 (2), p.387-396

2012

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Genomic data imputation with variational auto-encoders

Gigascience, 2020-08, Vol.9 (8)

2020

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Comparison of single and module-based methods for modeling gene regulatory networks

Bioinformatics, 2020-01, Vol.36 (2), p.558-567

2020

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An AKT2-specific nanobody that targets the hydrophobic motif induces cell cycle arrest, autophagy and loss of focal adhesions in MDA-MB-231 cells

Biomedicine & pharmacotherapy, 2021-01, Vol.133, p.111055, Article 111055

2021

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Confounding factors of ultrafiltration and protein analysis in extracellular vesicle research

Scientific reports, 2017-06, Vol.7 (1), p.2704-12, Article 2704

2017

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Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics

Radiotherapy and oncology, 2020-01, Vol.142, p.246-252

2020

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Precision of MRI radiomics features in the liver and hepatocellular carcinoma

European radiology, 2022-03, Vol.32 (3), p.2030-2040

2022

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Immature MEF2C-dysregulated T-cell leukemia patients have an early T-cell precursor acute lymphoblastic leukemia gene signature and typically have non-rearranged T-cell receptors

An expanded universe of cancer targets

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

MethylMix: an R package for identifying DNA methylation-driven genes

Deep learning with multimodal representation for pancancer prognosis prediction

Meta-learning reduces the amount of data needed to build AI models in oncology

Abstract IA-23: Multi-scale modeling of cancer patients

A meta-learning approach for genomic survival analysis

MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation

Abstract IA32: Multiscale modeling of lung cancer

Topological image modification for object detection and topological image processing of skin lesions

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

Spatial cellular architecture predicts prognosis in glioblastoma

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction

Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features

Development and characterization of protein kinase B/AKT isoform-specific nanobodies

Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning

Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results

Genomic data imputation with variational auto-encoders

Comparison of single and module-based methods for modeling gene regulatory networks

An AKT2-specific nanobody that targets the hydrophobic motif induces cell cycle arrest, autophagy and loss of focal adhesions in MDA-MB-231 cells

Confounding factors of ultrafiltration and protein analysis in extracellular vesicle research

Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics

Precision of MRI radiomics features in the liver and hepatocellular carcinoma

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