Olivier Gevaert

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 47

Top Topics

Biomedical Data

Convolutional Neural Networks

Top Venues

npj Digit. Medicine

IEEE Trans. Biomed. Eng.

Publications

Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. IEEE Trans. Biomed. Eng. 71 (6) (2024)
Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert
Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digit. Medicine 7 (1) (2024)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 7 (1) (2024)
Mahdi Ait Lhaj Loutfi, Teodora Boblea Podasca, Alex Zwanenburg, Taman Upadhaya, Jorge Barrios, David R. Raleigh, William C. Chen, Dante P. I. Capaldi, Hong Zheng, Olivier Gevaert, Jing Wu, Alvin C. Silva, Paul J. Zhang, Harrison X. Bai, Jan Seuntjens, Steffen Löck, Patrick O. Richard, Olivier Morin, Caroline Reinhold, Martin D. Lepage, Martin Vallières
Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. CoRR (2024)
Jesus de la Fuente, Guillermo Serrano, Uxía Veleiro, Mikel Casals, Laura Vera, Marija Pizurica, Antonio Pineda-Lucena, Idoia Ochoa, Silve Vicent, Olivier Gevaert, Mikel Hernaez
Towards a more inductive world for drug repurposing approaches. CoRR (2023)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR (2023)
Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, Tyler Heist, Tom McClintock, Kaitlin Caoili, Madeline Grace, Matthew Rubashkin, Michael N. Boggs, Jonathan H. Chen, Olivier Gevaert, David Mou, Matthew K. Nock
Natural language processing system for rapid detection and intervention of mental health crisis chat messages. npj Digit. Medicine 6 (2023)
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles, Olivier Gevaert
Multimodal data fusion for cancer biomarker discovery with deep learning. Nat. Mac. Intell. 5 (4) (2023)
Akshay Swaminathan, Iván López, William Wang, Ujwal Srivastava, Edward Tran, Aarohi Bhargava-Shah, Janet Y. Wu, Alexander L. Ren, Kaitlin Caoili, Brandon Bui, Layth Alkhani, Susan Lee, Nathan Mohit, Noel Seo, Nicholas Macedo, Winson Cheng, Charles Liu, Reena Thomas, Jonathan H. Chen, Olivier Gevaert
Selective prediction for extracting unstructured clinical data. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. Patterns 4 (1) (2023)
Elisa Warner, Joonsang Lee, William Hsu, Tanveer Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR (2023)
Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining. CoRR (2023)
Xianghao Zhan, Jiawei Sun, Yuzhe Liu, Nicholas J. Cecchi, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. CoRR (2023)
Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 4 (2022)
Xianghao Zhan, Fanjin Wang, Olivier Gevaert
Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. CoRR (2022)
Xianghao Zhan, Fanjin Wang, Olivier Gevaert
Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning. CoRR (2022)
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. IEEE Trans. Biomed. Eng. 69 (10) (2022)
Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR (2022)
Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR (2021)
Xianghao Zhan, Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. Patterns 2 (7) (2021)
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. CoRR (2021)
Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu
AI-based analysis of CT images for rapid triage of COVID-19 patients. npj Digit. Medicine 4 (2021)
Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts. CoRR (2021)
Marie Humbert-Droz, Suzanne Tamang, Olivier Gevaert
Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes. AMIA (2021)
Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. CoRR (2021)
Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein Vahid Alizadeh, August G. Domel, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Rapid Estimation of Entire Brain Strain Using Deep Learning Models. IEEE Trans. Biomed. Eng. 68 (11) (2021)
Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Zhou Zhou, Nicholas J. Cecchi, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo
Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. CoRR (2021)
Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
Classification of head impacts based on the spectral density of measurable kinematics. CoRR (2021)
Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alizadeh, Samuel J. Raymond, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael Zeineh, Gerald A. Grant
Prediction of brain strain across head impact subtypes using 18 brain injury criteria. CoRR (2020)
Mikel Hernaez, Charles Blatti, Olivier Gevaert
Comparison of single and module-based methods for modeling gene regulatory networks. Bioinform. 36 (2) (2020)
Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein Vahid Alizadeh, August G. Domel, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo
Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion. CoRR (2020)
Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann Leung, Olivier Gevaert
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. Nat. Mach. Intell. 2 (5) (2020)
Majed Mohamed Magzoub, Marcos Prunello, Kevin Brennan, Olivier Gevaert
The impact of DNA methylation on the cancer proteome. PLoS Comput. Biol. 15 (7) (2019)
Anika Cheerla, Olivier Gevaert
Deep learning with multimodal representation for pancancer prognosis prediction. Bioinform. 35 (14) (2019)
Pierre-Louis Cedoz, Marcos Prunello, Kevin Brennan, Olivier Gevaert
MethylMix 2.0: an R package for identifying DNA methylation genes. Bioinform. 34 (17) (2018)
Alexandre Momeni, Marc Thibault, Olivier Gevaert
Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. BrainLes@MICCAI (1) (2018)
Nikhil Cheerla, Olivier Gevaert
MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation. BMC Bioinform. 18 (1) (2017)
Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Medical Imaging: Computer-Aided Diagnosis (2017)
Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). J. Biomed. Informatics 72 (2017)
Marcos Martínez Romero, Martin J. O'Connor, Ravi D. Shankar, Maryam Panahiazar, Debra Willrett, Attila Levente Egyedi, Olivier Gevaert, John Graybeal, Mark A. Musen
Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA (2017)
Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI (2017)
Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian
A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC (2017)
Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. 40 (2017)
Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016)
Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert
3-D Convolutional Neural Networks for Glioblastoma Segmentation. CoRR (2016)
Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016)
Mark A. Musen, Carol A. Bean, Kei-Hoi Cheung, Michel Dumontier, Kim A. Durante, Olivier Gevaert, Alejandra N. González-Beltrán, Purvesh Khatri, Steven H. Kleinstein, Martin J. O'Connor, Yannick Pouliot, Philippe Rocca-Serra, Susanna-Assunta Sansone, Jeffrey A. Wiser
The center for expanded data annotation and retrieval. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Olivier Gevaert
MethylMix: an R package for identifying DNA methylation-driven genes. Bioinform. 31 (11) (2015)
Olivier Gevaert, Sylvia K. Plevritis
Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features. Pacific Symposium on Biocomputing (2013)
Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor
Supervised Classification of Array CGH Data with HMM-Based Feature Selection. Pacific Symposium on Biocomputing (2009)
Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Geneviève Michils, Eric Legius, Ignace Vergote, Bart De Moor
Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. KES (2) (2008)
Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. Pacific Symposium on Biocomputing (2008)
Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) (2006)