Hugo Aerts
Hugo Aerts
Director AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtU
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
27432014
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
23102012
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
12442012
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
12382017
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
11582017
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
8472017
Artificial intelligence in radiology
A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts
Nature Reviews Cancer 18 (8), 500-510, 2018
7872018
Machine learning methods for quantitative radiomic biomarkers
C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts
Scientific reports 5 (1), 1-11, 2015
5962015
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
5462017
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
5452020
Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
5282016
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
5112015
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
5012017
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
4292013
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
3902014
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
3372013
Artificial intelligence in cancer imaging: clinical challenges and applications
WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ...
CA: a cancer journal for clinicians 69 (2), 127-157, 2019
3282019
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
3282015
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
3132013
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
2882015
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