Martin Vallieres
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Explore the profile of Martin Vallieres including associated specialties, affiliations and a list of published articles.
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Recent Articles
11.
Fontaine P, Andrearczyk V, Oreiller V, Abler D, Castelli J, Acosta O, et al.
Clin Transl Radiat Oncol
. 2022 Mar;
33:153-158.
PMID: 35243026
A vast majority of studies in the radiomics field are based on contours originating from radiotherapy planning. This kind of delineation ( Gross Tumor Volume, GTV) is often larger than...
12.
Morin O, Vallieres M, Braunstein S, Ginart J, Upadhaya T, Woodruff H, et al.
Nat Cancer
. 2022 Feb;
2(7):709-722.
PMID: 35121948
Despite widespread adoption of electronic health records (EHRs), most hospitals are not ready to implement data science research in the clinical pipelines. Here, we develop MEDomics, a continuously learning infrastructure...
13.
Oreiller V, Andrearczyk V, Jreige M, Boughdad S, Elhalawani H, Castelli J, et al.
Med Image Anal
. 2022 Jan;
77:102336.
PMID: 35016077
This paper relates the post-analysis of the first edition of the HEad and neCK TumOR (HECKTOR) challenge. This challenge was held as a satellite event of the 23rd International Conference...
14.
DeCunha J, Villegas F, Vallieres M, Torres J, Camilleri-Broet S, Enger S
Phys Med Biol
. 2021 Aug;
66(18).
PMID: 34384070
Microscopic energy deposition distributions from ionizing radiation vary depending on biological target size and are used to predict the biological effects of an irradiation. Ionizing radiation is thought to kill...
15.
Chatterjee A, Vallieres M, Forghani R, Seuntjens J
Phys Med
. 2021 Jul;
88:272-277.
PMID: 34329921
Purpose: Radiomic texture calculation requires discretizing image intensities within the region-of-interest. FBN (fixed-bin-number), FBS (fixed-bin-size) and FBN and FBS with intensity equalization (FBNequal, FBSequal) are four discretization approaches. A crucial...
16.
Purkayastha S, Xiao Y, Jiao Z, Thepumnoeysuk R, Halsey K, Wu J, et al.
Korean J Radiol
. 2021 Mar;
22(7):1213-1224.
PMID: 33739635
Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables....
17.
DeCunha J, Poole C, Vallieres M, Torres J, Camilleri-Broet S, Rayes R, et al.
Phys Med
. 2021 Jan;
81:162-169.
PMID: 33461029
The biological effects of ionizing radiation depend on the tissue, tumor type, radiation quality, and patient-specific factors. Inter-patient variation in cell/nucleus size may influence patient-specific dose response. However, this variability...
18.
Vallieres M, Serban M, Benzyane I, Ahmed Z, Xing S, El Naqa I, et al.
Phys Imaging Radiat Oncol
. 2021 Jan;
6:53-60.
PMID: 33458389
Background And Purpose: In this work, we validate a texture-based model computed from positron emission tomography (PET) and magnetic resonance imaging (MRI) for the prediction of lung metastases in soft-tissue...
19.
Wei L, Rosen B, Vallieres M, Chotchutipan T, Mierzwa M, Eisbruch A, et al.
Phys Imaging Radiat Oncol
. 2021 Jan;
10:49-54.
PMID: 33458268
Background And Purpose: Computed tomography (CT) radiomics of head and neck cancer (HNC) images is susceptible to dental implant artifacts. This work devised and validated an automated algorithm to detect...
20.
Cong H, Peng W, Tian Z, Vallieres M, Chuanpei X, Aijun Z, et al.
Curr Med Imaging
. 2020 Jul;
17(3):374-383.
PMID: 32652919
Purpose: Both CT and PET radiomics is considered as a potential prognostic biomarker in head and neck cancer. This study investigates the value of fused pre-treatment functional imaging (18F-FDG PET/CT)...