Martin Vallières, PhD
Martin Vallières, PhD
Assistant Professor, Department of Computer Science, University of Sherbrooke
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
M Vallières, CR Freeman, SR Skamene, I El Naqa
Physics in Medicine & Biology 60 (14), 5471, 2015
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
18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi–cancer site patient …
M Hatt, M Majdoub, M Vallières, F Tixier, CC Le Rest, D Groheux, ...
Journal of nuclear medicine 56 (1), 38-44, 2015
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
M Vallières, E Kay-Rivest, LJ Perrin, X Liem, C Furstoss, HJWL Aerts, ...
Scientific Reports 7 (10117), 2017
MRI features predict survival and molecular markers in diffuse lower-grade gliomas
H Zhou, M Vallières, HX Bai, C Su, H Tang, D Oldridge, Z Zhang, B Xiao, ...
Neuro-oncology 19 (6), 862-870, 2017
Responsible radiomics research for faster clinical translation
M Vallières, A Zwanenburg, B Badic, CC Le Rest, D Visvikis, M Hatt
Journal of Nuclear Medicine 59 (2), 189-193, 2018
Two-dimensional nanoscale structural and functional imaging in individual collagen type I fibrils
C Harnagea, M Vallières, CP Pfeffer, D Wu, BR Olsen, A Pignolet, ...
Biophysical journal 98 (12), 3070-3077, 2010
Image biomarker standardisation initiative-feature definitions
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003, 2016
The structural origin of second harmonic generation in fascia
M Rivard, M Laliberté, A Bertrand-Grenier, C Harnagea, CP Pfeffer, ...
Biomedical optics express 2 (1), 26-36, 2011
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy
F Lucia, D Visvikis, M Vallières, MC Desseroit, O Miranda, P Robin, ...
European journal of nuclear medicine and molecular imaging 46 (4), 864-877, 2019
A deep look into the future of quantitative imaging in oncology: a statement of working principles and proposal for change
O Morin, M Vallières, A Jochems, HC Woodruff, G Valdes, SE Braunstein, ...
International Journal of Radiation Oncology* Biology* Physics 102 (4), 1074-1082, 2018
Deep learning in head & neck cancer outcome prediction
A Diamant, A Chatterjee, M Vallières, G Shenouda, J Seuntjens
Scientific reports 9 (1), 1-10, 2019
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi, PJ Zhang, JT Senders, ...
Journal of neuro-oncology 142 (2), 299-307, 2019
IBSI: an international community radiomics standardization initiative
M Hatt, M Vallieres, D Visvikis, A Zwanenburg
Journal of Nuclear Medicine 59 (supplement 1), 287-287, 2018
Designing efficient zero calibration point for phase-sensitive surface plasmon resonance biosensing
S Patskovsky, M Vallières, M Maisonneuve, IH Song, M Meunier, ...
Optics Express 17 (4), 2255-2263, 2009
Enhancement of multimodality texture-based prediction models via optimization of PET and MR image acquisition protocols: a proof of concept
M Vallières, S Laberge, A Diamant, I El Naqa
Physics in Medicine & Biology 62 (22), 8536, 2017
Automatic recognition and analysis of metal streak artifacts in head and neck computed tomography for radiomics modeling
L Wei, B Rosen, M Vallières, T Chotchutipan, M Mierzwa, A Eisbruch, ...
Physics and Imaging in Radiation Oncology 10, 49-54, 2019
Creating robust predictive radiomic models for data from independent institutions using normalization
A Chatterjee, M Vallières, A Dohan, IR Levesque, Y Ueno, S Saif, ...
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 210-215, 2019
FDG-PET image-derived features can determine HPV status in head-and-neck cancer
M Vallieres, A Kumar, K Sultanem, I El Naqa
International Journal of Radiation Oncology• Biology• Physics 87 (2), S467, 2013
An empirical approach for avoiding false discoveries when applying high-dimensional radiomics to small datasets
A Chatterjee, M Vallières, A Dohan, IR Levesque, Y Ueno, V Bist, S Saif, ...
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 201-209, 2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20