Olivier Gevaert
Citado por
Citado por
Machine learning identifies stemness features associated with oncogenic dedifferentiation
TM Malta, A Sokolov, AJ Gentles, T Burzykowski, L Poisson, JN Weinstein, ...
Cell 173 (2), 338-354. e15, 2018
Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology
LAM Gravendeel, MCM Kouwenhoven, O Gevaert, JJ de Rooi, AP Stubbs, ...
Cancer research 69 (23), 9065-9072, 2009
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
S Wang, M Zhou, Z Liu, Z Liu, D Gu, Y Zang, D Dong, O Gevaert, J Tian
Medical image analysis 40, 172-183, 2017
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks
O Gevaert, FD Smet, D Timmerman, Y Moreau, BD Moor
Bioinformatics 22 (14), e184-e190, 2006
Non–small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data—methods and preliminary results
O Gevaert, J Xu, CD Hoang, AN Leung, Y Xu, A Quon, DL Rubin, S Napel, ...
Radiology 264 (2), 387-396, 2012
Oncogenic transformation of diverse gastrointestinal tissues in primary organoid culture
X Li, L Nadauld, A Ootani, DC Corney, RK Pai, O Gevaert, MA Cantrell, ...
Nature medicine 20 (7), 769-777, 2014
Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features
O Gevaert, LA Mitchell, AS Achrol, J Xu, S Echegaray, GK Steinberg, ...
Radiology 273 (1), 168-174, 2014
Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches
M Zhou, J Scott, B Chaudhury, L Hall, D Goldgof, KW Yeom, M Iv, Y Ou, ...
American Journal of Neuroradiology 39 (2), 208-216, 2018
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
S Wang, J Shi, Z Ye, D Dong, D Yu, M Zhou, Y Liu, O Gevaert, K Wang, ...
European Respiratory Journal 53 (3), 2019
Intestinal enteroendocrine lineage cells possess homeostatic and injury-inducible stem cell activity
KS Yan, O Gevaert, GXY Zheng, B Anchang, CS Probert, KA Larkin, ...
Cell stem cell 21 (1), 78-90. e6, 2017
Genomic, pathway network, and immunologic features distinguishing squamous carcinomas
JD Campbell, C Yau, R Bowlby, Y Liu, K Brennan, H Fan, AM Taylor, ...
Cell reports 23 (1), 194-212. e6, 2018
Deep learning with multimodal representation for pancancer prognosis prediction
A Cheerla, O Gevaert
Bioinformatics 35 (14), i446-i454, 2019
Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities
H Itakura, AS Achrol, LA Mitchell, JJ Loya, T Liu, EM Westbroek, ...
Science translational medicine 7 (303), 303ra138-303ra138, 2015
Atypical neurofibromas in neurofibromatosis type 1 are premalignant tumors
E Beert, H Brems, B Daniëls, I De Wever, F Van Calenbergh, ...
Genes, Chromosomes and Cancer 50 (12), 1021-1032, 2011
Evaluation of a panel of 28 biomarkers for the non-invasive diagnosis of endometriosis
A Vodolazkaia, Y El-Aalamat, D Popovic, A Mihalyi, X Bossuyt, CM Kyama, ...
Human reproduction 27 (9), 2698-2711, 2012
A radiogenomic dataset of non-small cell lung cancer
S Bakr, O Gevaert, S Echegaray, K Ayers, M Zhou, M Shafiq, H Zheng, ...
Scientific data 5 (1), 1-9, 2018
Non-invasive diagnosis of endometriosis based on a combined analysis of six plasma biomarkers
A Mihalyi, O Gevaert, CM Kyama, P Simsa, N Pochet, F De Smet, ...
Human reproduction 25 (3), 654-664, 2010
Non–small cell lung cancer radiogenomics map identifies relationships between molecular and imaging phenotypes with prognostic implications
M Zhou, A Leung, S Echegaray, A Gentles, JB Shrager, KC Jensen, ...
Radiology 286 (1), 307-315, 2018
Diagnostic accuracy of varying discriminatory zones for the prediction of ectopic pregnancy in women with a pregnancy of unknown location
G Condous, E Kirk, C Lu, S Van Huffel, O Gevaert, B De Moor, F De Smet, ...
Ultrasound in Obstetrics and Gynecology: The Official Journal of the …, 2005
Density of small diameter sensory nerve fibres in endometrium: a semi-invasive diagnostic test for minimal to mild endometriosis
A Bokor, CM Kyama, L Vercruysse, A Fassbender, O Gevaert, ...
Human Reproduction 24 (12), 3025-3032, 2009
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20