Olivier Gevaert

Orcid: 0000-0002-9965-5466

According to our database1, Olivier Gevaert authored at least 50 papers between 2006 and 2023.

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Bibliography

2023
Selective prediction for extracting unstructured clinical data.
J. Am. Medical Informatics Assoc., December, 2023

Multimodal data fusion for cancer biomarker discovery with deep learning.
Nat. Mac. Intell., April, 2023

Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction.
Patterns, January, 2023

Natural language processing system for rapid detection and intervention of mental health crisis chat messages.
npj Digit. Medicine, 2023

Towards a more inductive world for drug repurposing approaches.
CoRR, 2023

Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
CoRR, 2023

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI.
CoRR, 2023

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining.
CoRR, 2023

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation.
CoRR, 2023

2022
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction.
IEEE J. Biomed. Health Informatics, 2022

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis.
IEEE Trans. Biomed. Eng., 2022

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation.
Frontiers Digit. Health, 2022

Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network.
CoRR, 2022

Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning.
CoRR, 2022

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set.
CoRR, 2022

2021
Rapid Estimation of Entire Brain Strain Using Deep Learning Models.
IEEE Trans. Biomed. Eng., 2021

Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases.
Patterns, 2021

AI-based analysis of CT images for rapid triage of COVID-19 patients.
npj Digit. Medicine, 2021

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images.
CoRR, 2021

Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts.
CoRR, 2021

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion.
CoRR, 2021

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction.
CoRR, 2021

Classification of head impacts based on the spectral density of measurable kinematics.
CoRR, 2021

Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation.
CoRR, 2021

Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets.
Nat. Mach. Intell., 2020

Prediction of brain strain across head impact subtypes using 18 brain injury criteria.
CoRR, 2020

Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion.
CoRR, 2020

Comparison of single and module-based methods for modeling gene regulatory networks.
Bioinform., 2020

2019
The impact of DNA methylation on the cancer proteome.
PLoS Comput. Biol., 2019

Deep learning with multimodal representation for pancancer prognosis prediction.
Bioinform., 2019

2018
MethylMix 2.0: an R package for identifying DNA methylation genes.
Bioinform., 2018

Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
Medical Image Anal., 2017

Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO).
J. Biomed. Informatics, 2017

MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation.
BMC Bioinform., 2017

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A multi-view deep convolutional neural networks for lung nodule segmentation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations.
Proceedings of the AMIA 2017, 2017

2016
3-D Convolutional Neural Networks for Glioblastoma Segmentation.
CoRR, 2016

Predicting structured metadata from unstructured metadata.
Database J. Biol. Databases Curation, 2016

2015
The center for expanded data annotation and retrieval.
J. Am. Medical Informatics Assoc., 2015

MethylMix: an R package for identifying DNA methylation-driven genes.
Bioinform., 2015

2013
Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2009
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study.
Proceedings of the Computational Intelligence and Bioengineering, 2009

Supervised Classification of Array CGH Data with HMM-Based Feature Selection.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer.
Proceedings of the Biocomputing 2008, 2008

Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2006
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006


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