Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. - Olivier Gevaert; Frank De Smet; Dirk Timmerman; Yves Moreau; Bart De Moor (ISMB (Supplement of Bioinformatics), 2006)

Classification of Sporadic and BRCA1 Ovarian Cancer Based on a Genome-Wide Study of Copy Number Variations. - Anneleen Daemen; Olivier Gevaert; Karin Leunen; Vanessa Vanspauwen; Geneviève Michils; Eric Legius; Ignace Vergote; Bart De Moor (KES (2), 2008)

Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer. - Anneleen Daemen; Olivier Gevaert; Tijl De Bie; Annelies Debucquoy; Jean-Pascal Machiels; Bart De Moor; Karin Haustermans (Pacific Symposium on Biocomputing, 2008)

Supervised Classification of Array CGH Data with HMM-Based Feature Selection. - Anneleen Daemen; Olivier Gevaert; Karin Leunen; Eric Legius; Ignace Vergote; Bart De Moor (Pacific Symposium on Biocomputing, 2009)

Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. - Ben Van Calster; Olivier Gevaert; Caroline Van Holsbeke; Bart De Moor; Sabine Van Huffel; Dirk Timmerman (Computational Intelligence and Bioengineering, 2009)

Identifying Master Regulators of Cancer and Their Downstream Targets by Integrating Genomic and Epigenomic Features. - Olivier Gevaert; Sylvia K. Plevritis (Pacific Symposium on Biocomputing, 2013)

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

The center for expanded data annotation and retrieval. - 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; et al. (J. Am. Medical Informatics Assoc., 2015)

Predicting structured metadata from unstructured metadata. - Lisa Posch; Maryam Panahiazar; Michel Dumontier; Olivier Gevaert (Database J. Biol. Databases Curation, 2016)

3-D Convolutional Neural Networks for Glioblastoma Segmentation. - Darvin Yi; Mu Zhou; Zhao Chen; Olivier Gevaert (CoRR, 2016)

Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. - 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 (AMIA, 2017)

A multi-view deep convolutional neural networks for lung nodule segmentation. - Shuo Wang; Mu Zhou; Olivier Gevaert; Zhenchao Tang; Di Dong; Zhenyu Liu; Jie Tian 001 (EMBC, 2017)

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. - Dongdong Yu; Mu Zhou; Feng Yang 009; Di Dong; Olivier Gevaert; Zaiyi Liu; Jingyun Shi; Jie Tian 001 (ISBI, 2017)

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. - Dongdong Yu; Yali Zang; Di Dong; Mu Zhou; Olivier Gevaert; Mengjie Fang; Jingyun Shi; Jie Tian 001 (Computer-Aided Diagnosis, 2017)

MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation. - Nikhil Cheerla; Olivier Gevaert (BMC Bioinform., 2017)

Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). - Maryam Panahiazar; Michel Dumontier; Olivier Gevaert (J. Biomed. Informatics, 2017)

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. - Shuo Wang; Mu Zhou; Zaiyi Liu; Zhenyu Liu; Dongsheng Gu; Yali Zang; Di Dong; Olivier Gevaert; Jie Tian 001 (Medical Image Anal., 2017)

Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. - Alexandre Momeni; Marc Thibault; Olivier Gevaert (BrainLes@MICCAI (1), 2018)

MethylMix 2.0: an R package for identifying DNA methylation genes. - Pierre-Louis Cedoz; Marcos Prunello; Kevin Brennan; Olivier Gevaert (Bioinform., 2018)

Deep learning with multimodal representation for pancancer prognosis prediction. - Anika Cheerla; Olivier Gevaert (Bioinform., 2019)

The impact of DNA methylation on the cancer proteome. - Majed Mohamed Magzoub; Marcos Prunello; Kevin Brennan; Olivier Gevaert (PLoS Comput. Biol., 2019)

Comparison of single and module-based methods for modeling gene regulatory networks. - Mikel Hernaez; Charles Blatti; Olivier Gevaert (Bioinform., 2020)

Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion. - Xianghao Zhan; Yuzhe Liu; Samuel J. Raymond; Hossein Vahid Alizadeh; August G. Domel; Olivier Gevaert; Michael Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2020)

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

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. - Pritam Mukherjee; Mu Zhou; Edward Lee; Anne Schicht; Yoganand Balagurunathan; Sandy Napel; Robert J. Gillies; Simon Wong; Alexander Thieme; Ann N. Leung; Olivier Gevaert (Nat. Mach. Intell., 2020)

Leveraging the MedDRA Biomedical Terminology and Weak Labeling for Mental Health Symptom Surveillance from patient Notes. - Marie Humbert-Droz; Suzanne Tamang; Olivier Gevaert (AMIA, 2021)

Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. - 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; et al. (CoRR, 2021)

Classification of head impacts based on the spectral density of measurable kinematics. - 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; et al. (CoRR, 2021)

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. - 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; et al. (CoRR, 2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients. - Qinmei Xu 003; Xianghao Zhan; Zhen Zhou; Yiheng Li; Peiyi Xie; Shu Zhang 001; Xiuli Li; Yizhou Yu; Changsheng Zhou; Longjiang Zhang; Olivier Gevaert; Guangming Lu 001 (npj Digit. Medicine, 2021)

Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. - Xianghao Zhan; Marie Humbert-Droz; Pritam Mukherjee; Olivier Gevaert (Patterns, 2021)

Rapid Estimation of Entire Brain Strain Using Deep Learning Models. - Xianghao Zhan; Yuzhe Liu; Samuel J. Raymond; Hossein Vahid Alizadeh; August G. Domel; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2021)

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. - 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; et al. (CoRR, 2022)

Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning. - Xianghao Zhan; Fanjin Wang; Olivier Gevaert (CoRR, 2022)

Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2022)

Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. - 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; et al. (Frontiers Digit. Health, 2022)

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2022)

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction. - Xianghao Zhan; Fanjin Wang; Olivier Gevaert (IEEE J. Biomed. Health Informatics, 2022)

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. - Xianghao Zhan; Jiawei Sun; Yuzhe Liu; Nicholas J. Cecchi; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; David B. Camarillo (CoRR, 2023)

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu 001; Olivier Gevaert (CoRR, 2023)

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. - 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 001; Ramesh C. Jain; et al. (CoRR, 2023)

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

Natural language processing system for rapid detection and intervention of mental health crisis chat messages. - 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; et al. (npj Digit. Medicine, 2023)

Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. - Robin Vandaele; Pritam Mukherjee; Heather Marie Selby; Rajesh Pravin Shah; Olivier Gevaert (Patterns, 2023)

Multimodal data fusion for cancer biomarker discovery with deep learning. - Sandra Steyaert; Marija Pizurica; Divya Nagaraj; Priya Khandelwal; Tina Hernandez-Boussard; Andrew J. Gentles; Olivier Gevaert (Nat. Mac. Intell., 2023)

Selective prediction for extracting unstructured clinical data. - 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; et al. (J. Am. Medical Informatics Assoc., 2023)

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling. - 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; et al. (CoRR, 2024)

Identification of head impact locations, speeds, and force based on head kinematics. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Jessica Towns; Ashlyn A. Callan; Olivier Gevaert; Michael M. Zeineh; David B. Camarillo (CoRR, 2024)

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - 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 001; et al. (npj Digit. Medicine, 2024)

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. - 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; et al. (npj Digit. Medicine, 2024)

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)

Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. - Elisa Warner; Joonsang Lee; William Hsu; Tanveer F. Syeda-Mahmood; Charles E. Kahn Jr.; Olivier Gevaert; Arvind Rao (Int. J. Comput. Vis., 2024)

AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)

Towards a more inductive world for drug repurposing approaches. - 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; et al. (Nat. Mac. Intell., 2025)

Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight. - Mona Nourbakhsh; Yuanning Zheng; Humaira Noor; Hongjin Chen; Subhayan Akhuli; Matteo Tiberti; Olivier Gevaert; Elena Papaleo (PLoS Comput. Biol., 2025)

Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu 001; Olivier Gevaert (PLoS Comput. Biol., 2025)

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images. - Max Hallemeesch; Marija Pizurica; Paloma Rabaey; Olivier Gevaert; Thomas Demeester; Kathleen Marchal (CoRR, 2025)

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. - Qinmei Xu 003; Yiheng Li; Xianghao Zhan; Ahmet Gorkem Er; Brittany Dashevsky; Chuanjun Xu; Mohammed Alawad; Mengya Yang; Liu Ya; Changsheng Zhou; Xiao Li; Haruka Itakura; et al. (CoRR, 2025)

Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans. - Yiheng Li; Francisco Carrillo-Perez; Mohammed Alawad; Olivier Gevaert (CoRR, 2025)