| 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 | 1012 | 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 | 611 | 2009 |
| 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 | 424 | 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 | 387 | 2012 |
| 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 | 360 | 2017 |
| 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 | 351 | 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 | 349 | 2014 |
| 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 | 287 | 2017 |
| 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 | 286 | 2018 |
| 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 | 256 | 2015 |
| 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 | 250 | 2019 |
| 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 | 231 | 2018 |
| 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 | 217 | 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 | 208 | 2012 |
| 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 | 208 | 2010 |
| 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 | 176 | 2005 |
| Deep learning with multimodal representation for pancancer prognosis prediction A Cheerla, O Gevaert Bioinformatics 35 (14), i446-i454, 2019 | 173 | 2019 |
| 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 | 164 | 2009 |
| 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 | 146 | 2018 |
| 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 | 143 | 2018 |
De Moor BartKU Leuven ESAT-StadiusE-mail megerősítve itt: esat.kuleuven.be
