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Martin Vallieres

Explore the profile of Martin Vallieres including associated specialties, affiliations and a list of published articles. Areas
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Articles 40
Citations 3173
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Recent Articles
1.
Laribi H, Raymond N, Taseen R, Poenaru D, Vallieres M
Health Inf Sci Syst . 2025 Mar; 13(1):23. PMID: 40051409
Purpose: Predicting medium-term survival after admission is necessary for identifying end-of-life patients who may benefit from goals of care (GOC) discussions. Considering that several patients have multiple hospital admissions, this...
2.
Larose M, Archambault L, Touma N, Brodeur R, Desroches F, Raymond N, et al.
Sci Rep . 2024 Nov; 14(1):26928. PMID: 39505979
We propose a fully automatic multi-task Bayesian model, named Bayesian Sequential Network (BSN), for predicting high-grade (Gleason   8) prostate cancer (PCa) prognosis using pre-prostatectomy FDG-PET/CT images and clinical data. BSN...
3.
Whybra P, Zwanenburg A, Andrearczyk V, Schaer R, Apte A, Ayotte A, et al.
Radiology . 2024 Feb; 310(2):e231319. PMID: 38319168
Filters are commonly used to enhance specific structures and patterns in images, such as vessels or peritumoral regions, to enable clinical insights beyond the visible image using radiomics. However, their...
4.
Kocak B, Akinci DAntonoli T, Mercaldo N, Alberich-Bayarri A, Baessler B, Ambrosini I, et al.
Insights Imaging . 2024 Jan; 15(1):8. PMID: 38228979
Purpose: To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods: We conducted an online modified Delphi study with...
5.
Andrearczyk V, Oreiller V, Boughdad S, Rest C, Tankyevych O, Elhalawani H, et al.
Med Image Anal . 2023 Sep; 90:102972. PMID: 37742374
By focusing on metabolic and morphological tissue properties respectively, FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed Tomography (CT) modalities include complementary and synergistic information for cancerous lesion delineation and characterization...
6.
Andrearczyk V, Oreiller V, Abobakr M, Akhavanallaf A, Balermpas P, Boughdad S, et al.
Head Neck Tumor Chall (2022) . 2023 May; 13626:1-30. PMID: 37195050
This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International...
7.
Pati S, Baid U, Edwards B, Sheller M, Wang S, Reina G, et al.
Nat Commun . 2023 Jan; 14(1):436. PMID: 36702828
No abstract available.
8.
Pati S, Baid U, Edwards B, Sheller M, Wang S, Reina G, et al.
Nat Commun . 2022 Dec; 13(1):7346. PMID: 36470898
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to...
9.
Keek S, Beuque M, Primakov S, Woodruff H, Chatterjee A, van Timmeren J, et al.
Front Oncol . 2022 Aug; 12:920393. PMID: 35912214
Introduction: There is a cumulative risk of 20-40% of developing brain metastases (BM) in solid cancers. Stereotactic radiotherapy (SRT) enables the application of high focal doses of radiation to a...
10.
Lefebvre T, Ueno Y, Dohan A, Chatterjee A, Vallieres M, Winter-Reinhold E, et al.
Radiology . 2022 Jul; 305(2):375-386. PMID: 35819326
Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk phenotypes. Purpose To evaluate the performance of...