Hugo Aerts
Hugo Aerts
Director AIM @ Harvard-BWH; DFCI; MGH
Verified email at dfci.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
HJWL Aerts, ER Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ...
Nature communications 5 (1), 1-9, 2014
25092014
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
20702012
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
11462012
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
11202017
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
9162017
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution
C Abbosh, NJ Birkbak, GA Wilson, M Jamal-Hanjani, T Constantin, ...
Nature 545 (7655), 446-451, 2017
7532017
Artificial intelligence in radiology
A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts
Nature Reviews Cancer 18 (8), 500-510, 2018
6212018
Machine learning methods for quantitative radiomic biomarkers
C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts
Scientific reports 5 (1), 1-11, 2015
5372015
Imaging biomarker roadmap for cancer studies
JPB O'Connor, EO Aboagye, JE Adams, HJWL Aerts, SF Barrington, ...
Nature reviews Clinical oncology 14 (3), 169, 2017
5012017
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
4762015
Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
4672016
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
4332017
Inconsistency in large pharmacogenomic studies
B Haibe-Kains, N El-Hachem, NJ Birkbak, AC Jin, AH Beck, HJWL Aerts, ...
Nature 504 (7480), 389-393, 2013
4102013
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping
A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ...
Radiology 295 (2), 328-338, 2020
3972020
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
3552014
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
3262013
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 (1), 1-10, 2015
3102015
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
2972013
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 (1), 1-10, 2015
2672015
The potential of radiomic-based phenotyping in precision medicine: a review
HJWL Aerts
JAMA oncology 2 (12), 1636-1642, 2016
2552016
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Articles 1–20