Olivier Gevaert
Orcid: 0000-0002-9965-5466
According to our database1,
Olivier Gevaert
authored at least 56 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction.
IEEE Trans. Biomed. Eng., September, 2024
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects.
Int. J. Comput. Vis., September, 2024
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types.
IEEE Trans. Biomed. Eng., June, 2024
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study.
npj Digit. Medicine, 2024
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.
npj Digit. Medicine, 2024
CoRR, 2024
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling.
CoRR, 2024
2023
J. Am. Medical Informatics Assoc., December, 2023
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
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
CoRR, 2022
2021
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
npj Digit. Medicine, 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
Bioinform., 2020
2019
Bioinform., 2019
2018
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
J. Biomed. Informatics, 2017
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
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Proceedings of the AMIA 2017, 2017
2016
Database J. Biol. Databases Curation, 2016
2015
J. Am. Medical Informatics Assoc., 2015
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
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