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Hugo Aerts
Hugo Aerts
Sonstige NamenHugo JWL Aerts, HJWL Aerts, HJ Aerts
Director AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtU
Bestätigte E-Mail-Adresse bei dfci.harvard.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
54912012
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
51692017
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), 4006, 2014
50932014
Artificial intelligence in radiology
A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts
Nature Reviews Cancer 18 (8), 500-510, 2018
32902018
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
28422020
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
23212017
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
23172012
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
18152017
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
15442019
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
12562017
Applications and limitations of radiomics
SSF Yip, HJWL Aerts
Physics in Medicine & Biology 61 (13), R150, 2016
12042016
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
11112017
Machine learning methods for quantitative radiomic biomarkers
C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts
Scientific reports 5 (1), 1-11, 2015
10492015
Neoantigen-directed immune escape in lung cancer evolution
R Rosenthal, EL Cadieux, R Salgado, MA Bakir, DA Moore, CT Hiley, ...
Nature 567 (7749), 479-485, 2019
7982019
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
7872015
Robust radiomics feature quantification using semiautomatic volumetric segmentation
C Parmar, E Rios Velazquez, R Leijenaar, M Jermoumi, S Carvalho, ...
PloS one 9 (7), e102107, 2014
6582014
The potential of radiomic-based phenotyping in precision medicine: a review
HJWL Aerts
JAMA oncology 2 (12), 1636-1642, 2016
6252016
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
5742013
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
M Vallieres, E Kay-Rivest, LJ Perrin, X Liem, C Furstoss, HJWL Aerts, ...
Scientific reports 7 (1), 10117, 2017
5722017
Deep learning predicts lung cancer treatment response from serial medical imaging
Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ...
Clinical Cancer Research 25 (11), 3266-3275, 2019
5502019
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