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2020 – today
- 2024
[j27]Elisa Warner
, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. 132(9): 3753-3769 (2024)- [j26]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) - [j25]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) - [j24]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): 1853-1863 (2024) - [j23]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. IEEE Trans. Biomed. Eng. 71(9): 2759-2770 (2024) - [i19]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 abs/2407.04888 (2024) - [i18]Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Jessica Towns, Ashlyn A. Callan, Olivier Gevaert, Michael M. Zeineh, David B. Camarillo:
Identification of head impact locations, speeds, and force based on head kinematics. CoRR abs/2409.08177 (2024) - 2023
- [j22]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): 188-197 (2023) - [j21]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): 351-362 (2023) - [j20]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) - [j19]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): 100657 (2023) - [i17]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 abs/2306.05255 (2023) - [i16]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 abs/2309.07332 (2023) - [i15]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 abs/2309.12444 (2023) - [i14]Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao:
Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR abs/2311.02332 (2023) - [i13]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 abs/2311.12670 (2023) - 2022
- [j18]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:
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health 4 (2022) - [j17]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): 3205-3215 (2022) - [j16]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): 5033-5041 (2022) - [i12]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 abs/2203.08807 (2022) - [i11]Xianghao Zhan, Fanjin Wang, Olivier Gevaert:
Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning. CoRR abs/2203.11015 (2022) - [i10]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 abs/2212.09832 (2022) - 2021
- [j15]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) - [j14]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): 100289 (2021) - [j13]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): 3424-3434 (2021) - [c11]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 - [i9]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 abs/2102.05020 (2021) - [i8]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 abs/2104.09082 (2021) - [i7]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 abs/2108.03498 (2021) - [i6]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 abs/2108.13577 (2021) - [i5]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 abs/2110.14116 (2021) - [i4]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 abs/2111.08006 (2021) - 2020
- [j12]Mikel Hernaez, Charles Blatti, Olivier Gevaert:
Comparison of single and module-based methods for modeling gene regulatory networks. Bioinform. 36(2): 558-567 (2020) - [j11]Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. 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): 274-282 (2020) - [i3]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 abs/2010.08527 (2020) - [i2]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 abs/2012.10006 (2020)
2010 – 2019
- 2019
- [j10]Anika Cheerla, Olivier Gevaert:
Deep learning with multimodal representation for pancancer prognosis prediction. Bioinform. 35(14): i446-i454 (2019) - [j9]Majed Mohamed Magzoub, Marcos Prunello, Kevin Brennan, Olivier Gevaert:
The impact of DNA methylation on the cancer proteome. PLoS Comput. Biol. 15(7) (2019) - 2018
- [j8]Pierre-Louis Cedoz, Marcos Prunello, Kevin Brennan, Olivier Gevaert:
MethylMix 2.0: an R package for identifying DNA methylation genes. Bioinform. 34(17): 3044-3046 (2018) - [c10]Alexandre Momeni, Marc Thibault, Olivier Gevaert:
Dropout-Enabled Ensemble Learning for Multi-scale Biomedical Data. BrainLes@MICCAI (1) 2018: 407-415 - 2017
- [j7]Nikhil Cheerla, Olivier Gevaert:
MicroRNA based Pan-Cancer Diagnosis and Treatment Recommendation. BMC Bioinform. 18(1): 32:1-32:11 (2017) - [j6]Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO). J. Biomed. Informatics 72: 132-139 (2017) - [j5]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: 172-183 (2017) - [c9]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 - [c8]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: 1752-1755 - [c7]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: 569-572 - [c6]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: 1013426 - 2016
- [j4]Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016) - [j3]Lisa Posch, Maryam Panahiazar, Michel Dumontier, Olivier Gevaert:
Predicting structured metadata from unstructured metadata. Database J. Biol. Databases Curation 2016 (2016) - [i1]Darvin Yi, Mu Zhou, Zhao Chen, Olivier Gevaert:
3-D Convolutional Neural Networks for Glioblastoma Segmentation. CoRR abs/1611.04534 (2016) - 2015
- [j2]Olivier Gevaert:
MethylMix: an R package for identifying DNA methylation-driven genes. Bioinform. 31(11): 1839-1841 (2015) - [j1]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): 1148-1152 (2015) - 2013
- [c5]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: 123-134
2000 – 2009
- 2009
- [c4]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: 468-479 - [p1]Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman:
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128 - 2008
- [c3]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: 165-172 - [c2]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: 166-177 - 2006
- [c1]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: 184-190
Coauthor Index
Michael Zeineh
aka: Michael M. Zeineh
aka: Michael M. Zeineh
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