Search Results - Martin Vallières

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  1. 1
    Deep learning in head & neck cancer outcome prediction

    Deep learning in head & neck cancer outcome prediction by André Diamant, Avishek Chatterjee, Martin Vallières, George Shenouda, Jan Seuntjens

    Published 2019
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  2. 2
    Responsible Radiomics Research for Faster Clinical Translation

    Responsible Radiomics Research for Faster Clinical Translation by Martin Vallières, Alex Zwanenburg, Bogdan Badic, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt

    Published 2017
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  3. 3
    MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer

    MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer by Vincent Bourbonne, Martin Vallières, François Lucia, Laurent Doucet, Dimitris Visvikis, V. Tissot, Olivier Pradier, Mathieu Hatt, Ulrike Schick

    Published 2019
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  4. 4
    Machine and deep learning methods for radiomics

    Machine and deep learning methods for radiomics by Michele Avanzo, Lise Wei, Joseph Stancanello, Martin Vallières, Arvind Rao, Olivier Morin, Sarah A. Mattonen, Issam El Naqa

    Published 2020
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  5. 5
    Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge

    Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge by Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge

    Published 2023
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  6. 6
    A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change

    A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change by Olivier Morin, Martin Vallières, Arthur Jochems, Henry C. Woodruff, Gilmer Valdés, Steve Braunstein, Joachim E. Wildberger, Javier Villanueva-Meyer, Vasant Kearney, Sue S. Yom, Timothy D. Solberg, Philippe Lambin

    Published 2018
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  7. 7
    Radiomics Analysis for Clinical Decision Support in Nuclear Medicine

    Radiomics Analysis for Clinical Decision Support in Nuclear Medicine by Abdalla Ibrahim, Martin Vallières, Henry C. Woodruff, Sergey Primakov, Mohsen Beheshti, Simon Keek, Turkey Refaee, Sebastian Sanduleanu, Seán Walsh, Olivier Morin, Philippe Lambin, Roland Hustinx, Felix M. Mottaghy

    Published 2019
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  8. 8
    MRI features predict survival and molecular markers in diffuse lower-grade gliomas

    MRI features predict survival and molecular markers in diffuse lower-grade gliomas by Hao Zhou, Martin Vallières, Harrison X. Bai, Chang Su, Haiyun Tang, Derek A. Oldridge, Zishu Zhang, Bo Xiao, Weihua Liao, Yongguang Tao, Jianhua Zhou, Paul J. Zhang, Li Yang

    Published 2016
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  9. 9
    External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy

    External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy by François Lucia, Dimitris Visvikis, Martin Vallières, Marie-Charlotte Desseroit, O. Miranda, Philippe Robin, Pietro Andrea Bonaffini, Joanne Alfieri, Ingrid Masson, A. Mervoyer, Caroline Reinhold, Olivier Pradier, Mathieu Hatt, Ulrike Schick

    Published 2018
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  10. 10
    Development and Validation of Multiparametric MRI–based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer

    Development and Validation of Multiparametric MRI–based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer by Thierry Lefebvre, Yoshiko Ueno, Anthony Dohan, Avishek Chatterjee, Martin Vallières, Eric Winter-Reinhold, Sameh Saif, Ives R. Levesque, Xing Zeng, Reza Forghani, Jan Seuntjens, Philippe Soyer, Peter Savadjiev, Caroline Reinhold

    Published 2022
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  11. 11
    <sup>18</sup>F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort

    <sup>18</sup>F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site... by Mathieu Hatt, Mohamed Majdoub, Martin Vallières, Florent Tixier, Catherine Cheze Le Rest, David Groheux, Elif Hindié, Antoine Martineau, Olivier Pradier, Roland Hustinx, R. Perdrisot, Rémy Guillevin, Issam El Naqa, Dimitris Visvikis

    Published 2014
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  12. 12
    Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

    Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer by Martin Vallières, Emily Kay‐Rivest, Léo Jean Perrin, X. Liem, C Furstoss, Hugo J.W.L. Aerts, Nader Khaouam, Phuc Félix Nguyen‐Tan, Chang-Shu Wang, Khalil Sultanem, Jan Seuntjens, Issam El Naqa

    Published 2017
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  13. 13
    Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas

    Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas by Hao Zhou, Ken Chang, Harrison X. Bai, Bo Xiao, Chang Su, Wenya Linda Bi, Paul J. Zhang, Joeky T. Senders, Martin Vallières, Vasileios K. Kavouridis, Alessandro Boaro, Omar Arnaout, Li Yang, Raymond Y. Huang

    Published 2019
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  14. 14
    External Validation of an MRI-Derived Radiomics Model to Predict Biochemical Recurrence after Surgery for High-Risk Prostate Cancer

    External Validation of an MRI-Derived Radiomics Model to Predict Biochemical Recurrence after Surgery for High-Risk Prostate Cancer by Vincent Bourbonne, Georges Fournier, Martin Vallières, François Lucia, Laurent Doucet, V. Tissot, G. Cuvelier, Stéphane Hue, Henri Le Penn Du, Luc Perdriel, Nicolas Bertrand, F. Staroz, Dimitris Visvikis, Olivier Pradier, Mathieu Hatt, Ulrike Schick

    Published 2020
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  15. 15
    Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

    Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging by I. Xi, Yijun Zhao, Robin Wang, Marcello Chang, Subhanik Purkayastha, Ken Chang, Raymond Y. Huang, Alvin C. Silva, Martin Vallières, Peiman Habibollahi, Yong Fan, Beiji Zou, T. Gade, Paul J. Zhang, Michael C. Soulen, Zishu Zhang, Harrison X. Bai, S. William Stavropoulos

    Published 2020
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  16. 16
    Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

    Head and neck tumor segmentation in PET/CT: The HECKTOR challenge by Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, J. Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

    Published 2021
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  17. 17
    Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival

    Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival by Olivier Morin, William Chen, Farshad Nassiri, Matthew Susko, Stephen T. Magill, Harish N. Vasudevan, Ashley Wu, Martin Vallières, Efstathios D. Gennatas, Gilmer Valdés, Melike Pekmezci, Paula Alcaide‐Leon, Abrar Choudhury, Yannet Interian, Siavash Mortezavi, Kerem Turgutlu, Nancy Ann Oberheim Bush, Timothy D. Solberg, Steve Braunstein, Penny K. Sneed, Arie Perry, Gelareh Zadeh, Michael McDermott, Javier Villanueva-Meyer, David R. Raleigh

    Published 2019
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  18. 18
    The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights

    The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights by P. Whybra, Alex Zwanenburg, Vincent Andrearczyk, Roger Schaer, Aditya Apte, Alexandre Ayotte, Bhakti Baheti, Spyridon Bakas, Andrea Bettinelli, Ronald Boellaard, Luca Boldrini, Irène Buvat, Gary Cook, Florian Dietsche, N. Dinapoli, Hubert S. Gabryś, Vicky Goh, Matthias Gückenberger, Mathieu Hatt, Mahdi Hosseinzadeh, Aditi Iyer, Jacopo Lenkowicz, Mahdi Ait Lhaj Loutfi, Steffen Löck, Francesca Marturano, Olivier Morin, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Arman Rahmim, Seyed Masoud Rezaeijo, Christopher G Rookyard, Mohammad R. Salmanpour, Andreas Schindele, Isaac Shiri, Emiliano Spezi, Stephanie Tanadini‐Lang, Florent Tixier, Taman Upadhaya, Vincenzo Valentini, Joost J. M. van Griethuysen, Fereshteh Yousefirizi, Habib Zaidi, Henning Müller, Martin Vallières, Adrien Depeursinge

    Published 2024
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  19. 19
    The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping by Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J. Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Irène Buvat, Gary Cook, Christos Davatzikos, Adrien Depeursinge, Marie-Charlotte Desseroit, N. Dinapoli, Cuong V. Dinh, Sebastian Echegaray, Issam El Naqa, Andriy Fedorov, Roberto Gatta, Robert J. Gillies, Vicky Goh, Michael Götz, Matthias Gückenberger, Sung Min Ha, Mathieu Hatt, Fabian Isensee, Philippe Lambin, Stefan Leger, Ralph T. H. Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus Maier‐Hein, Olivier Morin, Henning Müller, Sandy Napel, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Elisabeth Pfaehler, Arman Rahmim, Arvind U K Rao, Jonas Scherer, Muhammad Musib Siddique, Nanna M. Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J.H.M. Steenbakkers, Stephanie Tanadini‐Lang, Daniela Thorwarth, Esther G.C. Troost, Taman Upadhaya, Vincenzo Valentini, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Floris H. P. van Velden, P. Whybra, Christian Richter, Steffen Löck

    Published 2020
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  20. 20
    METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

    METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII by Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo, Ángel Alberich‐Bayarri, Bettina Baeßler, Ilaria Ambrosini, Anna Andreychenko, Spyridon Bakas, Regina G. H. Beets‐Tan, Keno K. Bressem, Irène Buvat, Roberto Cannella, L.A. Cappellini, Armando Ugo Cavallo, Leonid Chepelev, Linda C. Chu, Aydın Demircioğlu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andriy Fedorov, Laure Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow‐Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Martí‐Bonmatí, Henning Müller, Nancy A. Obuchowski, Fanny Orlhac, Nickolas Papanikolaou, EA Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, S. Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter M. A. van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo

    Published 2024
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