Machine and deep learning methods for radiomics
Avanzo, Michele, Wei, Lise, Stancanello, Joseph, Vallières, Martin, Rao, Arvind, Morin, Olivier, Mattonen, Sarah A, El Naqa, Issam
Published in Medical physics (Lancaster) (01.06.2020)
Published in Medical physics (Lancaster) (01.06.2020)
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Journal Article
Deep learning in head & neck cancer outcome prediction
Diamant, André, Chatterjee, Avishek, Vallières, Martin, Shenouda, George, Seuntjens, Jan
Published in Scientific reports (26.02.2019)
Published in Scientific reports (26.02.2019)
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Journal Article
MRI features predict survival and molecular markers in diffuse lower-grade gliomas
Zhou, Hao, Vallières, Martin, Bai, Harrison X, Su, Chang, Tang, Haiyun, Oldridge, Derek, Zhang, Zishu, Xiao, Bo, Liao, Weihua, Tao, Yongguang, Zhou, Jianhua, Zhang, Paul, Yang, Li
Published in Neuro-oncology (Charlottesville, Va.) (01.06.2017)
Published in Neuro-oncology (Charlottesville, Va.) (01.06.2017)
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Journal Article
Responsible Radiomics Research for Faster Clinical Translation
Vallières, Martin, Zwanenburg, Alex, Badic, Bodgan, Cheze Le Rest, Catherine, Visvikis, Dimitris, Hatt, Mathieu
Published in Journal of Nuclear Medicine (01.02.2018)
Published in Journal of Nuclear Medicine (01.02.2018)
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Journal Article
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Zwanenburg, Alex, Vallières, Martin, Abdalah, Mahmoud A, Aerts, Hugo J W L, Andrearczyk, Vincent, Apte, Aditya, Ashrafinia, Saeed, Bakas, Spyridon, Beukinga, Roelof J, Boellaard, Ronald, Bogowicz, Marta, Boldrini, Luca, Buvat, Irène, Cook, Gary J R, Davatzikos, Christos, Depeursinge, Adrien, Desseroit, Marie-Charlotte, Dinapoli, Nicola, Dinh, Cuong Viet, Echegaray, Sebastian, El Naqa, Issam, Fedorov, Andriy Y, Gatta, Roberto, Gillies, Robert J, Goh, Vicky, Götz, Michael, Guckenberger, Matthias, Ha, Sung Min, Hatt, Mathieu, Isensee, Fabian, Lambin, Philippe, Leger, Stefan, Leijenaar, Ralph T H, Lenkowicz, Jacopo, Lippert, Fiona, Losnegård, Are, Maier-Hein, Klaus H, Morin, Olivier, Müller, Henning, Napel, Sandy, Nioche, Christophe, Orlhac, Fanny, Pati, Sarthak, Pfaehler, Elisabeth A G, Rahmim, Arman, Rao, Arvind U K, Scherer, Jonas, Siddique, Muhammad Musib, Sijtsema, Nanna M, Socarras Fernandez, Jairo, Spezi, Emiliano, Steenbakkers, Roel J H M, Tanadini-Lang, Stephanie, Thorwarth, Daniela, Troost, Esther G C, Upadhaya, Taman, Valentini, Vincenzo, van Dijk, Lisanne V, van Griethuysen, Joost, van Velden, Floris H P, Whybra, Philip, Richter, Christian, Löck, Steffen
Published in Radiology (01.05.2020)
Published in Radiology (01.05.2020)
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Journal Article
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer
Vallières, Martin, Kay-Rivest, Emily, Perrin, Léo Jean, Liem, Xavier, Furstoss, Christophe, Aerts, Hugo J. W. L., Khaouam, Nader, Nguyen-Tan, Phuc Felix, Wang, Chang-Shu, Sultanem, Khalil, Seuntjens, Jan, El Naqa, Issam
Published in Scientific reports (31.08.2017)
Published in Scientific reports (31.08.2017)
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Journal Article
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge
Oreiller, Valentin, Andrearczyk, Vincent, Jreige, Mario, Boughdad, Sarah, Elhalawani, Hesham, Castelli, Joel, Vallières, Martin, Zhu, Simeng, Xie, Juanying, Peng, Ying, Iantsen, Andrei, Hatt, Mathieu, Yuan, Yading, Ma, Jun, Yang, Xiaoping, Rao, Chinmay, Pai, Suraj, Ghimire, Kanchan, Feng, Xue, Naser, Mohamed A., Fuller, Clifton D., Yousefirizi, Fereshteh, Rahmim, Arman, Chen, Huai, Wang, Lisheng, Prior, John O., Depeursinge, Adrien
Published in Medical image analysis (01.04.2022)
Published in Medical image analysis (01.04.2022)
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Journal Article
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy
Lucia, François, Visvikis, Dimitris, Vallières, Martin, Desseroit, Marie-Charlotte, Miranda, Omar, Robin, Philippe, Bonaffini, Pietro Andrea, Alfieri, Joanne, Masson, Ingrid, Mervoyer, Augustin, Reinhold, Caroline, Pradier, Olivier, Hatt, Mathieu, Schick, Ulrike
Published in European journal of nuclear medicine and molecular imaging (01.04.2019)
Published in European journal of nuclear medicine and molecular imaging (01.04.2019)
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Journal Article
Development and Validation of Multiparametric MRI–based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer
Lefebvre, Thierry L., Ueno, Yoshiko, Dohan, Anthony, Chatterjee, Avishek, Vallières, Martin, Winter-Reinhold, Eric, Saif, Sameh, Levesque, Ives R., Zeng, Xing Ziggy, Forghani, Reza, Seuntjens, Jan, Soyer, Philippe, Savadjiev, Peter, Reinhold, Caroline
Published in Radiology (01.11.2022)
Published in Radiology (01.11.2022)
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Journal Article
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas
Zhou, Hao, Chang, Ken, Bai, Harrison X., Xiao, Bo, Su, Chang, Bi, Wenya Linda, Zhang, Paul J., Senders, Joeky T., Vallières, Martin, Kavouridis, Vasileios K., Boaro, Alessandro, Arnaout, Omar, Yang, Li, Huang, Raymond Y.
Published in Journal of neuro-oncology (01.04.2019)
Published in Journal of neuro-oncology (01.04.2019)
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Journal Article
A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change
Morin, Olivier, Vallières, Martin, Jochems, Arthur, Woodruff, Henry C., Valdes, Gilmer, Braunstein, Steve E., Wildberger, Joachim E., Villanueva-Meyer, Javier E., Kearney, Vasant, Yom, Sue S., Solberg, Timothy D., Lambin, Philippe
Published in International journal of radiation oncology, biology, physics (15.11.2018)
Published in International journal of radiation oncology, biology, physics (15.11.2018)
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Journal Article
MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer
Bourbonne, Vincent, Vallières, Martin, Lucia, François, Doucet, Laurent, Visvikis, Dimitris, Tissot, Valentin, Pradier, Olivier, Hatt, Mathieu, Schick, Ulrike
Published in Frontiers in oncology (27.08.2019)
Published in Frontiers in oncology (27.08.2019)
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Journal Article
Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis
Larose, Maxence, Archambault, Louis, Touma, Nawar, Brodeur, Raphaël, Desroches, Félix, Raymond, Nicolas, Bédard-Tremblay, Daphnée, LeBlanc, Danahé, Rasekh, Fatemeh, Hovington, Hélène, Neveu, Bertrand, Vallières, Martin, Pouliot, Frédéric
Published in Scientific reports (06.11.2024)
Published in Scientific reports (06.11.2024)
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Journal Article
External Validation of an MRI-Derived Radiomics Model to Predict Biochemical Recurrence after Surgery for High-Risk Prostate Cancer
Bourbonne, Vincent, Fournier, Georges, Vallières, Martin, Lucia, François, Doucet, Laurent, Tissot, Valentin, Cuvelier, Gilles, Hue, Stephane, Le Penn Du, Henri, Perdriel, Luc, Bertrand, Nicolas, Staroz, Frederic, Visvikis, Dimitris, Pradier, Olivier, Hatt, Mathieu, Schick, Ulrike
Published in Cancers (28.03.2020)
Published in Cancers (28.03.2020)
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Journal Article
Electric Power Fuse Identification with Deep Learning
Giard-Leroux, Simon, Cleroux, Guillaume, Kulkarni, Shreyas Sunil, Bouffard, Francois, Vallieres, Martin
Published in IEEE transactions on industrial informatics (01.11.2023)
Published in IEEE transactions on industrial informatics (01.11.2023)
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Journal Article
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge
Andrearczyk, Vincent, Oreiller, Valentin, Boughdad, Sarah, Le Rest, Catherine Cheze, Tankyevych, Olena, Elhalawani, Hesham, Jreige, Mario, Prior, John O., Vallières, Martin, Visvikis, Dimitris, Hatt, Mathieu, Depeursinge, Adrien
Published in Medical image analysis (01.12.2023)
Published in Medical image analysis (01.12.2023)
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Journal Article
Patient-specific microdosimetry: a proof of concept
DeCunha, Joseph M, Villegas, Fernanda, Vallières, Martin, Torres, Jose, Camilleri-Broët, Sophie, Enger, Shirin A
Published in Physics in medicine & biology (21.09.2021)
Published in Physics in medicine & biology (21.09.2021)
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Journal Article
Deep Learning Based on MRI for Differentiation of Low‐ and High‐Grade in Low‐Stage Renal Cell Carcinoma
Zhao, Yijun, Chang, Marcello, Wang, Robin, Xi, Ianto Lin, Chang, Ken, Huang, Raymond Y, Vallières, Martin, Habibollahi, Peiman, Dagli, Mandeep S., Palmer, Matthew, Zhang, Paul J., Silva, Alvin C., Yang, Li, Soulen, Michael C., Zhang, Zishu, Bai, Harrison X., Stavropoulos, S. William
Published in Journal of magnetic resonance imaging (01.11.2020)
Published in Journal of magnetic resonance imaging (01.11.2020)
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