Martin Vallières, PhD

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Soavtorji

Issam El Naqa, PhD, FAAPM, FIEEE, F...Chair of Machine Learning, H. Lee Moffitt Cancer CenterPreverjeni e-poštni naslov na moffitt.org
Jan SeuntjensPrincess Margaret Cancer Centre & Medical Biophysics, University of TorontoPreverjeni e-poštni naslov na uhn.ca
Mathieu HattLaTIM, INSERM UMR 1101, Univ Brest, FrancePreverjeni e-poštni naslov na inserm.fr
Olivier MorinProfessor in Radiation Oncology/ Medical PhysicsPreverjeni e-poštni naslov na ucsf.edu
Alex ZwanenburgNational Center for Tumor Diseases (NCT/UCC) DresdenPreverjeni e-poštni naslov na nct-dresden.de
Caroline ReinholdMcGill UniversityPreverjeni e-poštni naslov na mcgill.ca
Steffen LöckOncoRay - National Center of Radiation Research in OncologyPreverjeni e-poštni naslov na oncoray.de
Ives LevesqueAssistant Professor of Medical PhysicsPreverjeni e-poštni naslov na mcgill.ca
Anthony DOHANProfessor of diagnostic and interventional Radiology AP-HP, Paris University, HOPITALPreverjeni e-poštni naslov na aphp.fr
Stefan LegerNational Center for Tumor Diseases (NCT) DresdenPreverjeni e-poštni naslov na nct-dresden.de
Gilmer ValdesAssociate Professor, University of California San FranciscoPreverjeni e-poštni naslov na ucsf.edu
Henry C WoodruffThe D-Lab, Department of Precision Medicine, Maastricht UniversityPreverjeni e-poštni naslov na maastrichtuniversity.nl
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBPreverjeni e-poštni naslov na maastrichtuniversity.nl
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUPreverjeni e-poštni naslov na dfci.harvard.edu
Timothy SolbergSenior Advisor, University of WashingtonPreverjeni e-poštni naslov na uw.edu
Florent TixierPreverjeni e-poštni naslov na mskcc.org
André DiamantCEO & Founder, Gray Oncology SolutionsPreverjeni e-poštni naslov na gray-os.com
Phuc Felix Nguyen-tanCHUMPreverjeni e-poštni naslov na ssss.gouv.qc.ca
Catalin HarnageaInstitut National de la Recherche ScientifiquePreverjeni e-poštni naslov na emt.inrs.ca
Francois LégaréProfessor, INRSPreverjeni e-poštni naslov na emt.inrs.ca

Spremljaj

Martin Vallières, PhD

Assistant Professor, Department of Computer Science, University of Sherbrooke

Preverjeni e-poštni naslov na usherbrooke.ca - Domača stran

medical image analysis machine learning graph neural networks natural language processing federated learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	3083	2020
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	931	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	563	2017
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	489	2015
Machine and deep learning methods for radiomics M Avanzo, L Wei, J Stancanello, M Vallieres, A Rao, O Morin, ... Medical physics 47 (5), e185-e202, 2020	380	2020
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	359	2017
Deep learning in head & neck cancer outcome prediction A Diamant, A Chatterjee, M Vallières, G Shenouda, J Seuntjens Scientific reports 9 (1), 2764, 2019	212	2019
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	190	2018
Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022	189	2022
Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022	186	2022
Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021	176	2021
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, 864-877, 2019	176	2019
Image biomarker standardisation initiative-feature definitions A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003 10, 2016	127	2016
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, 299-307, 2019	126	2019
Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging IL Xi, Y Zhao, R Wang, M Chang, S Purkayastha, K Chang, RY Huang, ... Clinical Cancer Research 26 (8), 1944-1952, 2020	123	2020
Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival O Morin, WC Chen, F Nassiri, M Susko, ST Magill, HN Vasudevan, A Wu, ... Neuro-oncology advances 1 (1), vdz011, 2019	107	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	103	2018
Overview of the HECKTOR challenge at MICCAI 2020: automatic head and neck tumor segmentation in PET/CT V Andrearczyk, V Oreiller, M Jreige, M Vallières, J Castelli, H Elhalawani, ... 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 1-21, 2021	102	2021
Automatic segmentation of head and neck tumors and nodal metastases in PET-CT scans V Andrearczyk, V Oreiller, M Vallières, J Castelli, H Elhalawani, M Jreige, ... Medical imaging with deep learning, 33-43, 2020	82	2020
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	82	2010

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