Hugo Aerts
Hugo Aerts
Director / Associate Professor at Harvard-DFCI
Verified email at dfci.harvard.edu - Homepage
TitleCited byYear
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
HJWL Aerts, ER Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ...
Nature communications 5, 4006, 2014
15902014
Radiomics: extracting more information from medical images using advanced feature analysis
P Lambin, E Rios-Velazquez, R Leijenaar, S Carvalho, ...
European journal of cancer 48 (4), 441-446, 2012
12232012
Radiomics: the process and the challenges
V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ...
Magnetic resonance imaging 30 (9), 1234-1248, 2012
7452012
Tracking the evolution of non–small-cell lung cancer
M Jamal-Hanjani, GA Wilson, N McGranahan, NJ Birkbak, TBK Watkins, ...
New England Journal of Medicine 376 (22), 2109-2121, 2017
6252017
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
C Abbosh, NJ Birkbak, GA Wilson, M Jamal-Hanjani, T Constantin, ...
Nature 545 (7655), 446, 2017
4392017
Inconsistency in large pharmacogenomic studies
B Haibe-Kains, N El-Hachem, NJ Birkbak, AC Jin, AH Beck, HJWL Aerts, ...
Nature 504 (7480), 389, 2013
3352013
Imaging biomarker roadmap for cancer studies
JPB O'Connor, EO Aboagye, JE Adams, HJWL Aerts, SF Barrington, ...
Nature reviews Clinical oncology 14 (3), 169-186, 2017
3172017
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
TP Coroller, P Grossmann, Y Hou, ER Velazquez, RTH Leijenaar, ...
Radiotherapy and Oncology 114 (3), 345-350, 2015
3172015
Machine learning methods for quantitative radiomic biomarkers
C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts
Scientific reports 5, 13087, 2015
3042015
Computational radiomics system to decode the radiographic phenotype
JJM Van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ...
Cancer research 77 (21), e104-e107, 2017
2952017
Predicting outcomes in radiation oncology—multifactorial decision support systems
P Lambin, RGPM Van Stiphout, MHW Starmans, E Rios-Velazquez, ...
Nature reviews Clinical oncology 10 (1), 27, 2013
2702013
Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
2492016
Robust radiomics feature quantification using semiautomatic volumetric segmentation
C Parmar, ER Velazquez, R Leijenaar, M Jermoumi, S Carvalho, RH Mak, ...
PloS one 9 (7), e102107, 2014
2272014
Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability
RTH Leijenaar, S Carvalho, ER Velazquez, WJC Van Elmpt, C Parmar, ...
Acta oncologica 52 (7), 1391-1397, 2013
2222013
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer
C Parmar, RTH Leijenaar, P Grossmann, ER Velazquez, J Bussink, ...
Scientific reports 5, 11044, 2015
2202015
Allele-specific HLA loss and immune escape in lung cancer evolution
N McGranahan, R Rosenthal, CT Hiley, AJ Rowan, TBK Watkins, ...
Cell 171 (6), 1259-1271. e11, 2017
2012017
Disparity between in vivo EGFR expression and 89Zr-labeled cetuximab uptake assessed with PET
HJWL Aerts, L Dubois, L Perk, P Vermaelen, GAMS van Dongen, ...
Journal of Nuclear Medicine 50 (1), 123-131, 2009
1942009
Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy 18Fluorodeoxyglucose-PET-CT scan
HJWL Aerts, AAW van Baardwijk, SF Petit, C Offermann, J van Loon, ...
Radiotherapy and oncology 91 (3), 386-392, 2009
1882009
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
RTH Leijenaar, G Nalbantov, S Carvalho, WJ Van Elmpt, EGC Troost, ...
Scientific reports 5, 11075, 2015
1862015
The potential of radiomic-based phenotyping in precision medicine: a review
HJWL Aerts
JAMA oncology 2 (12), 1636-1642, 2016
1342016
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Articles 1–20