Olivier Gevaert

67 papers Misc 5Journal 55Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-Based Identification of Head Impact Locations, Speeds, and Force Based on Head Kinematics Simulations. IEEE Trans. Biomed. Eng. Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Jessica Towns, Ashlyn A. Callan, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
2026	J	`jnl`	SAGE-FM: A lightweight and interpretable spatial transcriptomics foundation model. CoRR Xianghao Zhan, Jingyu Xu, Yuanning Zheng, Zinaida Good, Olivier Gevaert
2025	J	`jnl`	Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. CoRR Qinmei Xu, Yiheng Li, Xianghao Zhan, Ahmet Gorkem Er, Brittany Dashevsky, Chuanjun Xu, Mohammed Alawad, Mengya Yang, Liu Ya, Changsheng Zhou, Xiao Li, Haruka Itakura, Olivier Gevaert
2025	J	`jnl`	Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans. CoRR Yiheng Li, Francisco Carrillo-Perez, Mohammed Alawad, Olivier Gevaert
2025	J	`jnl`	Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images. CoRR Max Hallemeesch, Marija Pizurica, Paloma Rabaey, Olivier Gevaert, Thomas Demeester, Kathleen Marchal
2025	J	`jnl`	Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction. PLoS Comput. Biol. Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert
2025	J	`jnl`	Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight. PLoS Comput. Biol. Mona Nourbakhsh, Yuanning Zheng, Humaira Noor, Hongjin Chen, Subhayan Akhuli, Matteo Tiberti, Olivier Gevaert, Elena Papaleo
2025	J	`jnl`	Towards a more inductive world for drug repurposing approaches. Nat. Mac. Intell. Jesus de la Fuente Cedeño, Guillermo Serrano, Uxía Veleiro, Mikel Casals, Laura Vera, Marija Pizurica, Nuria Gómez-Cebrián, Leonor Puchades-Carrasco, Antonio Pineda-Lucena, Idoia Ochoa, Silve Vicent, Olivier Gevaert, Mikel Hernaez
2024	J	`jnl`	AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. IEEE Trans. Biomed. Eng. Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2024	J	`jnl`	Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. IEEE Trans. Biomed. Eng. Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2024	J	`jnl`	Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 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
2024	J	`jnl`	Ge N Nius : an ultrafast drug-target interaction inference method based on graph neural networks. Bioinform. Uxía Veleiro, Jesus de la Fuente, Guillermo Serrano, Marija Pizurica, Mikel Casals, Antonio Pineda-Lucena, Silve Vicent, Idoia Ochoa, Olivier Gevaert, Mikel Hernaez
2024	J	`jnl`	Identification of head impact locations, speeds, and force based on head kinematics. CoRR Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Jessica Towns, Ashlyn A. Callan, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
2024	J	`jnl`	Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao
2024	J	`jnl`	Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digit. Medicine 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
2024	J	`jnl`	Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. CoRR 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
2023	J	`jnl`	Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR 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
2023	J	`jnl`	Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
2023	J	`jnl`	Multimodal data fusion for cancer biomarker discovery with deep learning. Nat. Mac. Intell. Sandra Steyaert, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard, Andrew J. Gentles, Olivier Gevaert
2023	J	`jnl`	Natural language processing system for rapid detection and intervention of mental health crisis chat messages. npj Digit. Medicine 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
2023	J	`jnl`	Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining. CoRR Xianghao Zhan, Qinmei Xu, Yuanning Zheng, Guangming Lu, Olivier Gevaert
2023	J	`jnl`	Selective prediction for extracting unstructured clinical data. J. Am. Medical Informatics Assoc. Akshay Swaminathan, Ivan Lopez, 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
2023	J	`jnl`	Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. Patterns Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
2023	J	`jnl`	Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. CoRR Xianghao Zhan, Jiawei Sun, Yuzhe Liu, Nicholas J. Cecchi, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo
2023	J	`jnl`	Towards a more inductive world for drug repurposing approaches. CoRR Jesus de la Fuente Cedeño, Guillermo Serrano, Uxía Veleiro, Mikel Casals, Laura Vera, Marija Pizurica, Antonio Pineda-Lucena, Idoia Ochoa, Silve Vicent, Olivier Gevaert, Mikel Hernaez
2022	J	`jnl`	Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. CoRR Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2022	J	`jnl`	Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR 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
2022	J	`jnl`	Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 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 L. 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 F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis
2022	J	`jnl`	Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning. CoRR Xianghao Zhan, Fanjin Wang, Olivier Gevaert
2022	J	`jnl`	Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. IEEE Trans. Biomed. Eng. Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2022	J	`jnl`	Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction. IEEE J. Biomed. Health Informatics Xianghao Zhan, Fanjin Wang, Olivier Gevaert
2021	J	`jnl`	AI-based analysis of CT images for rapid triage of COVID-19 patients. npj Digit. Medicine Qinmei Xu, Xianghao Zhan, Zhen Zhou, Yiheng Li, Peiyi Xie, Shu Zhang, Xiuli Li, Yizhou Yu, Changsheng Zhou, Longjiang Zhang, Olivier Gevaert, Guangming Lu
2021	J	`jnl`	Classification of head impacts based on the spectral density of measurable kinematics. CoRR 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
2021	J	`jnl`	Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts. CoRR Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2021	J	`jnl`	Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR 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
2021	J	`jnl`	Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. CoRR Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2021	Misc	`conf`	Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes. AMIA Marie Humbert-Droz, Suzanne Tamang, Olivier Gevaert
2021	J	`jnl`	Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. CoRR 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
2021	J	`jnl`	Rapid Estimation of Entire Brain Strain Using Deep Learning Models. IEEE Trans. Biomed. Eng. Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein Vahid Alizadeh, August G. Domel, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2021	J	`jnl`	Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. CoRR Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo
2021	J	`jnl`	Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. Patterns Xianghao Zhan, Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert
2020	J	`jnl`	A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. Nat. Mach. Intell. Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert
2020	J	`jnl`	Comparison of single and module-based methods for modeling gene regulatory networks. Bioinform. Mikel Hernaez, Charles Blatti, Olivier Gevaert
2020	J	`jnl`	Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion. CoRR Xianghao Zhan, Yuzhe Liu, Samuel J. Raymond, Hossein Vahid Alizadeh, August G. Domel, Olivier Gevaert, Michael Zeineh, Gerald A. Grant, David B. Camarillo
2020	J	`jnl`	Prediction of brain strain across head impact subtypes using 18 brain injury criteria. CoRR 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
2019	J	`jnl`	Deep learning with multimodal representation for pancancer prognosis prediction. Bioinform. Anika Cheerla, Olivier Gevaert
2019	J	`jnl`	The impact of DNA methylation on the cancer proteome. PLoS Comput. Biol. Majed Mohamed Magzoub, Marcos Prunello, Kevin Brennan, Olivier Gevaert
2018	—	`conf`	Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. BrainLes@MICCAI (1) Alexandre Momeni, Marc Thibault, Olivier Gevaert
2018	J	`jnl`	MethylMix 2.0: an R package for identifying DNA methylation genes. Bioinform. Pierre-Louis Cedoz, Marcos Prunello, Kevin Brennan, Olivier Gevaert
2017	—	`conf`	A multi-view deep convolutional neural networks for lung nodule segmentation. EMBC Shuo Wang, Mu Zhou, Olivier Gevaert, Zhenchao Tang, Di Dong, Zhenyu Liu, Jie Tian
2017	J	`jnl`	Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian
2017	—	`conf`	Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian
2017	—	`conf`	Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Computer-Aided Diagnosis Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian
2017	Misc	`conf`	Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA Marcos Martínez Romero, Martin J. O'Connor, Ravi D. Shankar, Maryam Panahiazar, Debra Willrett, Attila Levente Egyedi, Olivier Gevaert, John B. Graybeal, Mark A. Musen
2017	J	`jnl`	MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation. BMC Bioinform. Nikhil Cheerla, Olivier Gevaert
2017	J	`jnl`	Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). J. Biomed. Informatics Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
2016	J	`jnl`	3-D Convolutional Neural Networks for Glioblastoma Segmentation. CoRR Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert
2016	J	`jnl`	Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
2016	J	`jnl`	Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert
2015	J	`jnl`	MethylMix: an R package for identifying DNA methylation-driven genes. Bioinform. Olivier Gevaert
2015	J	`jnl`	The center for expanded data annotation and retrieval. J. Am. Medical Informatics Assoc. 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
2013	Misc	`conf`	Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features. Pacific Symposium on Biocomputing Olivier Gevaert, Sylvia K. Plevritis
2009	—	`ch.`	Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman
2009	Misc	`conf`	Supervised Classification of Array CGH Data with HMM-Based Feature Selection. Pacific Symposium on Biocomputing Anneleen Daemen, Olivier Gevaert, Karin Leunen, Eric Legius, Ignace Vergote, Bart De Moor
2008	—	`conf`	Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. KES (2) Anneleen Daemen, Olivier Gevaert, Karin Leunen, Vanessa Vanspauwen, Geneviève Michils, Eric Legius, Ignace Vergote, Bart De Moor
2008	Misc	`conf`	Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. Pacific Symposium on Biocomputing Anneleen Daemen, Olivier Gevaert, Tijl De Bie, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor, Karin Haustermans
2006	—	`conf`	Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor