受强制性开放获取政策约束的文章 - Olivier Gevaert了解详情
无法在其他位置公开访问的文章：9 篇
A multi-view deep convolutional neural networks for lung nodule segmentation
S Wang, M Zhou, O Gevaert, Z Tang, D Dong, Z Liu, T Jie
2017 39th annual international conference of the IEEE engineering in …, 2017
强制性开放获取政策： 国家自然科学基金委员会
Rapid estimation of entire brain strain using deep learning models
X Zhan, Y Liu, SJ Raymond, HV Alizadeh, AG Domel, O Gevaert, ...
IEEE Transactions on Biomedical Engineering 68 (11), 3424-3434, 2021
强制性开放获取政策： US Department of Defense
Precision of MRI radiomics features in the liver and hepatocellular carcinoma
G Carbonell, P Kennedy, O Bane, A Kirmani, M El Homsi, D Stocker, ...
European Radiology, 1-11, 2022
强制性开放获取政策： US National Institutes of Health
Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
F Carrillo-Perez, M Pizurica, Y Zheng, TN Nandi, R Madduri, J Shen, ...
Nature Biomedical Engineering, 1-13, 2024
强制性开放获取政策： US Department of Energy, US National Institutes of Health, Research …
Brain deformation estimation with transfer learning for head impact datasets across impact types
X Zhan, Y Liu, NJ Cecchi, O Gevaert, MM Zeineh, GA Grant, DB Camarillo
IEEE Transactions on biomedical Engineering 71 (6), 1853-1863, 2024
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Correlations between P53 mutation status and texture features of ct images for hepatocellular carcinoma
H Wu, X Chen, J Chen, Y Luo, X Jiang, X Wei, W Tang, Y Liu, Y Liang, ...
Methods of Information in Medicine 58 (01), 042-049, 2019
强制性开放获取政策： 国家自然科学基金委员会
PD49-04 ACCURATE DIFFERENTIATION OF PATHOLOGICAL SUBTYPES OF RENAL TUMOUR BY APPLYING A MACHINE LEARNING MODEL TO EPIGENETIC MARKERS
S Rossi, I Newsham, S Pita, G Park, R Lach, A Babbage, C Smith, ...
Journal of Urology 206 (Supplement 3), e846, 2021
强制性开放获取政策： Cancer Research UK
MP18-14 CHARACTERISING DNA METHYLATION PATTERNS IN TISSUE AND CIRCULATING TUMOUR DNA TO ENABLE DIFFERENTIATION OF SMALL RENAL MASSES
S Rossi, S Pita, A Babbage, G Park, R Lach, C Smith, K Brennan, ...
Journal of Urology 203, e240-e241, 2020
强制性开放获取政策： Cancer Research UK
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study
B Van Calster, O Gevaert, C Van Holsbeke, B De Moor, S Van Huffel, ...
Computational Intelligence and Bioengineering, 111-128, 2009
强制性开放获取政策： Research Foundation (Flanders)
可在其他位置公开访问的文章：158 篇
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
强制性开放获取政策： US National Institutes of Health, US Department of Veterans Affairs …
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
强制性开放获取政策： Research Foundation (Flanders)
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
强制性开放获取政策： US National Institutes of Health, 中国科学院, 国家自然科学基金委员会
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
强制性开放获取政策： US National Institutes of Health, Research Foundation (Flanders)
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health, 中国科学院, 国家自然科学基金委员会
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
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Deep learning with multimodal representation for pancancer prognosis prediction
A Cheerla, O Gevaert
Bioinformatics 35 (14), i446-i454, 2019
强制性开放获取政策： US National Institutes of Health
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
强制性开放获取政策： US National Institutes of Health
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